For the machine learning and mathematics part "Mathematics for machine learning" is a free textbook that teaches you the math (linear algebra, multivariate calc and some geometry) and the stats (regression) plus some common algorithms (with jupyter notebooks available with worked examples). So it's a nice general overview of the entire things for those short on time
been interested in neuroscience for years and am a cs student. was trying to find a field that blended the two, but was disappointed to learn most stuff for it in academia was masters and up. so glad to see this video.
Same here , been interested in neuroscience and noetic sciences and I am cs student , trying to find a way to connect the two , and yes , it mostly can be found as you go higher up for masters and so on , still , its interesting :)
I’m a full time data scientist and I took the course Fundamentals of statistics that were mentioned in the video. That’s a pretty tough course, you must have a good foundation in multivariate calculus and linear algebra. Besides, it is a highly theoretical course, so if you wanna experiment something more practical don’t go for it. However, if your intention is to fill the statistics gap, I strongly recommend it. Moreover, I should mention that there is another course considered a pre requisite for this one. It is called “probability: the science of uncertainty and data”, which is also from MIT and available on EdX. With these two courses, you are capable of dealing with any problem in statistics in a theoretical approach.
Cara tem linkedin? Também sou da área de ciência de dados, curso pela FATEC, comecei ano passado. Ainda não trabalhei mas prefiro absorver mais conteúdos para então poder me candidatar aos estágios.
Thankyou for the Information :) Can you also mention a few more necessary courses to be done online for Data Science and Data Analysis ? I have done a few from Edx already and I am an aspiring Data Analyst & Scientist
@@jonathanjabes1477 same here , I am still in the learning phase and wish to know the relevant courses to learn from , and projects to get to work with
@Alexandre Henrique: Can you recommend any sources or courses about statistics you've taken. I'm working in healthcare and want to become a biostatistician so I'm looking for some statistics courses. Thank you so much.
Hi ! A very good video, I'm a PhD in comp neuro, and I highly recommend to everyone to look for Neuromatch Academy, I was a TA on it last year, those resources are world class and free, so hopefully in some re edition of this video, those can be added, basically that summer school relate everything you showed in your video in a cohesive way. Try to take a look at it.
Just asking, i am not in the position of doing PhD because i messed up in my master's. Does computational neuroscience/etc has a scope for master's research assistant?
It is amazing how you guys have the daunting task of deciphering the brain’s commands of all these diverse functions and neuroscience field has made enormous progress over the years and Scientists continue to strive for a deeper understanding of how the brain’s 100 billion nerve cells are born, grow, and connect and just to know how these goes into effective, functional circuits that usually correlate into the working order for life.
I have been really confused on a career path for the longest of time. Seeing this video gave me some sort of clarity that i cant even explain. Thank you so much
Hi, Charlotte! I would highly recommend everyone interested in Computational Neuroscience to get their hands on Statistical Mechanics, as whole brain modes are based on the extension of spiking neuron models to the Thermodynamic Limit. Once there, the study of Phase Portraits, Stability, Critical Exponents, Phase Transitions and so on is found and applied everywhere. It also builds up the bases for neural networks and dimensionality reduction algorithms.
Hi Charlotte, A Huge thank you for your work on TH-cam. I am CS person. But I am really amused by Human Brain and Dreams. I was kind a 'where to start' state, since I thought that I have to re-read entire neuros, in-spite of schedule. It helped. Thank you , ❤
We use R in my biology bachelor's programme, maybe I'll give this a try now that I already have some basic knowledge. If there is anything I've learned in uni it's that if you know where to get quality learning material, nothing is preventing you from learning all this on your own basically for free. All uni does is providing a "guided tour", although to be fair the practical courses will be hard to organise for people learning on their own. Thank you for all the info!
I have a master's degree in Neuroscience, and my Bachelor's background is Biology. So, as someone coming from a non-mathematical and non-coding background, I found computational neuroscience pretty daunting. Thank you so much for this video, you really helped simplify my approach towards this subject. Love from India 🇮🇳❤️
hello! I´m a hs student interested in neuroscience, and was curious, if you don´t mind these questions: did you find it hard to find a job? what do you do in your day to day life (i.e. what does a work day look like), or what kind of projects do you / your colleagues work on / roles you perform? Thank you!! I´m trying to get a more day-to-day view on the career :)
@@andreaalminana1794 There are a lot of options for someone from a neuroscience background. There's no one size fits all option. It's very diverse. All the best!
@@andreaalminana1794 Well, after my Master's in Neuroscience, I did M.Phil. in Cognitive Science. And now I am planning for a PhD in Neurobiology or related field. Neuroscience is a young field and there are plenty of opportunities, but since I wanted to stay in academia and research, I am thinking of PhD and post doc.
Excellent recommendations. It is a very complete set of books. Personally I would add the classic book From Neuron to Brain, which just last year they released the sixth edition. I am also a student of neuroscience. Best regards from Mexico 🇲🇽
I am both sadden and glad this does not have millions of views. then again it's only been 15 days and it's already at 64 thousand. Thank you so so so much for making this video. The hardest problem for the novice in any topic, in my experience, is to be able to distinguish the skills they need to learn from the advertisements of tools or experience they should be paying for. I will be applying this knowledge in my own search for meaning. Thank you :D
Hi. I'm a MSc. in molecular biology and genetics. I wanna be Phd student the neuroscience. It was a very useful video. And now I'm also learning python thats it.☺️
My undergrad was in cell & molecular biology with a minor in physics. I took lots of math too. My biggest regret was not taking *any* computer science or programming classes, though. I corrected this as a post-bacc.. I am doing a masters in Data Science now and can attest to the absolute need for R and Python programming skills. In reality, I am not sure you can get to my knowledge level with a few bootcamps online. You can supplement, for sure. But you really need the rigor of a course, imho, to at least start your self-learning process. The Bishop book is indeed awesome. The David McKay has the class he uses that book for online, btw, right here on TH-cam. Computational neuroscience is definitely an interest of mine. We shall see what kind of doors open once I complete this Data Science MS.
Finally a channel about Computational Neuroscience I was looking for! Thanks for great intro into the topic! I'm doing my Bachelors at the moment in CS and this guide will help me a lot with choosing what to learn outside my school priorities. Thanks!
your video combined all of my goals into one video! at the moment i am studying computer science, in the future i am planning to study physics i also wanted to study neuroscience to some extent, to be able to understand concepts of computers better… thank you
Coming from a non-tech Excel background, I found R far easier to use than Python, as I didn't have to learn much CS. Additionally, you don't miss much by choosing R, as similar to Python, it too also comes with pre-built ML/DL libraries like Keras - so basic googling & Copy-Paste of code is good enough.
Also, for computational neuroscience purposes Python is the standard and the standard allows you share in a better way your work. I might say that you should be fluent in both at some point.
I'm doing that course by Andrew NG it is really good even if it is somehow old but it is still relevant ... it gives you whole mathematical background about machine learning and data science
Ever since I watched a video about learning electronics on your own, TH-cam recommends many self learn videos, and now this. Now I don't know what it is that I should learn as there are so many interesting things 😄
I love this video. I did my bachelors in Astrophysics, my masters in Medical Physics, and am now starting a PhD in Neuroimaging. I love to see someone making science more accessible!!
That’s an impressive set of degrees in areas not normally considered to be closely associated with one another-are they available online? Normally, a BS level degree will be in “physics.” Then, focusing upon a specialized area within physics, such as astrophysics, will normally require astronomy courses, lots of math, more (theoretical) physics, an approved thesis, and an MS results. A PhD in the sciences extends a Master’s, and normally requires a unique proposal, a very specific area of study and research, and a dissertation approved by professors. Neuroimaging, in our dept, can be approached from an MD/medical perspective, via an engineering route, or computer science degree programs. Did you pick up a chiropractic degree as well?
Thanks for the nice video. For the physics part I would suggest the "Neural Dynamics" book by W. Gerstner and also Dynamical Systems in Neuroscience by E. Izhikevich.
I agree. Griffiths' Electrodynamics are for upper division physics and I wouldn't recommend it to people who hasn't done electrostatics and relativity yet. The book requires strong calculus 3 and vector calculus skills too.
EM Purcell's E&M book is great for beginners, because it introduces the needed Vector Calculus as it goes and doesn't use it as freely as Griffiths. It's also more wordy than mathematical which beginners might prefer
Wow. I didn’t know this field of specialization has become a bit mainstream. Happy to see the confluence of neuro science, programming and math. Doing just ML feels very dry so this field seems very interesting.
A very good video. Basically, these suggestions apply to anything “computational or modeling” - finance, neuro, economics, marketing, physics, etc, only the last part changes according to the area. Nowadays everything becomes datafied.
Loved this video! I'm coming from a psychology-based background and am interested in getting into computational neuroscience. It was scary to think of the maths but after watching this video I think that with some work I can actually make it happen (or at least give it a go!). Thank you for sharing these great tips with us.
I think you can apply this topics in psycological field And after that you will become a data scientist in psycological field In your opinion I'm thinking true or false? Thank you
@@bogusmcbogus2637 I'm just finishing my degree in Psychology so I'm going to do some training in maths once it's done. I have done a lot of stats though, so at least won't have to worry about that.
@@myfictionalthoughts lena I'm in the last year of my degree in pharmacy And I want to study psychology and take some courses Can you help me How can I study this field alone And take a fundamental think that enable me to understand more deeply in this field Thank you
@@Opq01939 Sorry, I'm not sure how you can transition from pharmacy to psychology. It depends on the country. I think you would have to do a conversion course (like masters) in psychology if you have that available in your country and if not then probably another undergraduate.
First time on this channel and this is the kind of content we need to see spreading in TH-cam and other social media plattforms. Please, keep doing this great work and thanks for spend time moving this channel forward!
I'm doing a self study starting with bishop and there is so much to learn if one wants to try to enable AGI. Thanks for making this video accessible and sharing resources.
thanks for the info! i will always love R over Python because the way you can perform logic & arithmetic across entire arrays (series? vectors?) is just so much faster and more intuitive
Thank you! I know im late, but there's very few good "getting started" most videos are either to towards the beginning or assume way to much knowledge, this video was perfect!
Bedankt voor de fantastische aanmoediging in het begin van de video: het is 2022 en je kunt alles leren. Het neemt blokkades weg en het stelt mij ten doel om te gaan leren.
Thank you so much for the tips. I am currently doing a bachelor’s in physics and computer science, but am unsure whether I want to pursue higher education in Theoretical physics or Applied computer science or Applied discrete mathematics 🤕. To those about to start their bachelor’s, keep in mind that interests change a lot, so take as many diverse courses as possible. Build up skills rather than a set- in- stone degree.
I am so grateful for this video. I’m trying to learn neuroscience on my own and I really want PhDs to lay out the path for people like myself to attain that expertise without school. I’ll follow your path. Bless you.
I'm just starting my educational journey into biochemistry, with the goal of getting into neuroscience one day. I think this randomly suggested video is about to change my life.
I did my bachelor's in electrical and electronics engineering and I am pursuing my masters in big data. Machine learning is an aspect of it so this information really helps. Thanks a lot.
Charlotte Fraza, Many thanks for your videos. I was an Algebra-1 teacher in Los Angeles. Knowing how to increase student attention and Restesting after thorough reviews of only major unit tests created the only As(19) and Bs(34) in my 8th Grade Algebra-1 dept of 4 teachers who did not retest but were superior teachers to me. It may be like iteration of AI computer data. I know SPSS and am learning Python to teach it online for free and Algebra-1 using an approved CA Algebra-1 book but with different problem examples I will create. I look forward to all your future videos. Again, Many Thanks for me and the thousands of kids who will benefit from any free Algebra-1 course I can find and publicize while I develop mine. Peace
Yo thank you for the video, also ty to everybody for sharing all of your great resources for others to use. The best part of learning of is the community, and this video + comment section is proof of that.
Interesting! I have an undergrad degree in Mathematics and doing a masters in data science! I have an interest in Neuroscience. It is fate that I found you! 🥰 I was just thinking about learning basic neuroscience just for fun and see where that will take me.
I am a medical student in second grade and I really love anything related to the brain, in addition to programming, and mathematics stuff. And I am really interested in them. And I didn’t know how to combine them. Now I know how ❤️. I will take your video as a reference and I will save it. I am really thankful. You made me so excited 😂❤️
I really loved this video. I'm a medicine student interested in neurophysiology, and I like the idea of mixing machine learning, electroencephalography and evoked potentials. This will help me a lot. For the neuroscience subject I'd also recommend Kandel's Principles of Neural Science.
Maybe TH-cam algorithm is optimized only for the revenue of the company, but man, I am few months before cognitive science masters and after gap year and this video, together with the comments below is some kind of information heaven for my mind right now. Thank you!
A very well presented summary for folks starting up on this. I got a lot from this. You have a cheerful personality which helped me not get afraid of the huge skills mentioned here haha! Thanks.
I prefer VS Code with the Jupyter extension to Jupyter notebooks. It's a lot more versatile and easier to set up, plus you can use all your favourite keyboard shortcuts that you already use to program in other languages.
I'm doing my PhD in statistical mechanics. I don't have any biological background, but I think computational neuroscience is a very interesting subject. I really want to study it and I will start with your recommendations! Thanks.
I did mathematical neuroscience research with a bachelors in neuroscience (pretty terrible grades if I am honest haha). Like she said, Neuroscience is the easy part, the math is the hard part I learned MATLAB and machine learning from the Machine Learning course she mentioned by Andrew Ng. I pretty much learned diff eq and a lot of linear algebra while in the group The one thing I wish is that I really wish I had a better understanding of linear algebra. I have actually heard Gilbert Strang is a bit tougher for LA but I really liked the videos on 3Blue1Brown. I learned C and Python from a course called CS50 and doing a lot of projects I am currently working as a software engineer :)
thank you for your video, I am a chemical engineering who is trying to find her way but now it's pretty clear for me that computational neuroscience it's pretty cool and I want to pursue a master in this, Thank you
I've just graduated with a bachelor's degree in Biology, currently finding scholarship to pursue neuroscience for a master, thank you for sharing. I'm starting to learn Python 🙏
Wow, thank you. I am taking pre-medical program (Biology). Thank you for the tips and learnings. I want to learn more how to communicate and link life science to the people outside my program.
Thank you very much for the content, there are not many of this type on yt. I have a background in Biology, and my dilemma was which programming language to stick with. It's becoming clear to me now! In particular I am getting into neural signals, I hope you make a related video!
THIS IS A VERRRRYYY INFORMATIVE VIDEO!! THANK YOU! Currently in my 2nd year of my physics degree, this looks like something really cool that I might look into doing
I would love to see statically-typed (with type-inference) languages invade data-science. I've worked with a number of data-science groups and these dynamically-typed languages like R and Python allow people to make some really hard-to-debug mistakes.
Heel nice om te zien dat iemand Tubed over Computational Neuroscience. Dit jaar begonnen aan een CompNeur project bij Maastricht University. Mega moeilijk om jezelf aan te leren, fantastisch dus dat je het pad voor ons vrijmaakt! :D Bedankt!
I started learning Python, and I got an EMG and Arduino to play around with. I’m also starting on MIT’s free Probability and Statistics and Single Variable Calculus courses. I don’t have a degree, but I want to get my name on a research paper in the field of computational neuroscience. Chat GPT is making the job of an autodidact so much easier by acting as a personal tutor who you can take clarifying questions to. Your videos have helped me formulate this plan of attack. When I become a world-famous researcher, I will make sure to mention you ;)
I am currently pursuing undergrad in psychology and am very interested in the study of neuroscience. I was just searching for how to prepare myself for Msc in neuroscience and this video was very helpful. I would be very thankful if you posted content on more about how to prepare oneself to enter in neuroscience mainly for non STEM students. Thank you.
Please give me your phone no. or your email so that i could contact you for getting info about neuroscience . Please cooperate me ! Im interested in this field .
I read my first book on the topic literally called "MATLAB for Neuroscientists" on my first year of university... ended up learning both my first programming language as well as getting initiated with computational neuroscience in one go. Strongly recommend if you can find a copy of this book from your local library (or elsewhere).
I’m a pharmacy undergraduate and recently peaked an interest in neuropharmacology; hoping to see if computational neuroscience is suitable for me; amazing video; really explanatory
I am a first year psych undergrad but I fell in love with neuroscience the moment I got a neuroscience module. My strong points are stats and biology so far but I don't know much about programming. It is really intimidating because I am a high-school drop out so I never believed in myself.
I agree that Andrew Ng's Machine Learning course on Coursera is very useful for people with beginner-level knowledge of stats. I would also add the book Computational Modeling of Cognition and Behavior by Farrell and Lewandowsky. It is a great R-based introduction to Machine Learning, including different model fitting and model comparison algorithms.
Ng's course is good, but at that level. Someone who has been following the academic literature for a while might not need the whole course from scratch, but it could be good for a systematic overview, fill in some gaps, or to recall stuff you should already know but have neglected due to career twists and turns.
AAHH, so this is what I was experimenting with back in 2010! Thanks, I never knew the name! I grew artificial neural network with genetic algorithms and formed populations from the different structures and then sorted them by their throughput. I guess real computational neuroscience would instead apply models to actual brain structures and try to mimic the output, but that is only semantical difference.
Great video! Keep it up :) I am a first year PhD student using machine learning on neural data and this video is super comprehensive for anyone trying to get into the field.
so glad that u r posting this content and so glad that I came across this channel..I'm from a non-science background ..developed interest in neuroscience coz a book about it fell on me whilst I was at the library researching about Nazism and psychology ..intend to do a MSc in psychology n thn go to grad school for neuro hopefully...this video was super helpful! Cant thank you enough! It is so hard to navigate is all n knw about the resources available when u don't hv a background in science n never heard about neuroscience in school.
I'm not an academic or anything, but the topic I most regret not paying enough attention to is statistics. It's incredibly ubiquitous. One day I'll start over and learn from the bottom up again, trying things out in R.
About to graduate with a master's degree in neuroscience in 1 month! Considering transitioning into a more computational/data science field, I hope it's possible since lab life was.... hard. I program a bit in my free time for fun as well. Thanks for all the tips
there is also a great podcast from doctor Andrew Huberman on youtube which can be great for starting with neuroscience and there are lots of useful tips for life as well in its episodes.
For the machine learning and mathematics part "Mathematics for machine learning" is a free textbook that teaches you the math (linear algebra, multivariate calc and some geometry) and the stats (regression) plus some common algorithms (with jupyter notebooks available with worked examples). So it's a nice general overview of the entire things for those short on time
Thanks for the reference!
This book is simply amazing. I wish it covered more topics.
Thanks for advice
Thank you. Added to my ever growing anti-library.
Can also vouch for this book, its brilliant!
been interested in neuroscience for years and am a cs student. was trying to find a field that blended the two, but was disappointed to learn most stuff for it in academia was masters and up. so glad to see this video.
Same here , been interested in neuroscience and noetic sciences and I am cs student , trying to find a way to connect the two , and yes , it mostly can be found as you go higher up for masters and so on , still , its interesting :)
I’m a full time data scientist and I took the course Fundamentals of statistics that were mentioned in the video. That’s a pretty tough course, you must have a good foundation in multivariate calculus and linear algebra. Besides, it is a highly theoretical course, so if you wanna experiment something more practical don’t go for it.
However, if your intention is to fill the statistics gap, I strongly recommend it. Moreover, I should mention that there is another course considered a pre requisite for this one. It is called “probability: the science of uncertainty and data”, which is also from MIT and available on EdX.
With these two courses, you are capable of dealing with any problem in statistics in a theoretical approach.
Cara tem linkedin? Também sou da área de ciência de dados, curso pela FATEC, comecei ano passado. Ainda não trabalhei mas prefiro absorver mais conteúdos para então poder me candidatar aos estágios.
Bro how you become data scientist. Please tell. Please please
Thankyou for the Information :) Can you also mention a few more necessary courses to be done online for Data Science and Data Analysis ? I have done a few from Edx already and I am an aspiring Data Analyst & Scientist
@@jonathanjabes1477 same here , I am still in the learning phase and wish to know the relevant courses to learn from , and projects to get to work with
@Alexandre Henrique: Can you recommend any sources or courses about statistics you've taken. I'm working in healthcare and want to become a biostatistician so I'm looking for some statistics courses. Thank you so much.
Hi ! A very good video, I'm a PhD in comp neuro, and I highly recommend to everyone to look for Neuromatch Academy, I was a TA on it last year, those resources are world class and free, so hopefully in some re edition of this video, those can be added, basically that summer school relate everything you showed in your video in a cohesive way. Try to take a look at it.
Just asking, i am not in the position of doing PhD because i messed up in my master's.
Does computational neuroscience/etc has a scope for master's research assistant?
Stop spamming
@@R0Ck50LiD-b5z huh?
That's true
I dont believe you
It is amazing how you guys have the daunting task of deciphering the brain’s commands of all these diverse functions and neuroscience field has made enormous progress over the years and Scientists continue to strive for a deeper understanding of how the brain’s 100 billion nerve cells are born, grow, and connect and just to know how these goes into effective, functional circuits that usually correlate into the working order for life.
I have been really confused on a career path for the longest of time.
Seeing this video gave me some sort of clarity that i cant even explain.
Thank you so much
I am surprised, why does this channel has so less subscribers, it should have a million. Great video!
Hi, Charlotte! I would highly recommend everyone interested in Computational Neuroscience to get their hands on Statistical Mechanics, as whole brain modes are based on the extension of spiking neuron models to the Thermodynamic Limit.
Once there, the study of Phase Portraits, Stability, Critical Exponents, Phase Transitions and so on is found and applied everywhere.
It also builds up the bases for neural networks and dimensionality reduction algorithms.
Hi Charlotte, A Huge thank you for your work on TH-cam. I am CS person. But I am really amused by Human Brain and Dreams. I was kind a 'where to start' state, since I thought that I have to re-read entire neuros, in-spite of schedule. It helped. Thank you , ❤
We use R in my biology bachelor's programme, maybe I'll give this a try now that I already have some basic knowledge. If there is anything I've learned in uni it's that if you know where to get quality learning material, nothing is preventing you from learning all this on your own basically for free. All uni does is providing a "guided tour", although to be fair the practical courses will be hard to organise for people learning on their own. Thank you for all the info!
I am auto-didacting for computational neuroscience and I use many of the same resources. I also talked to Huberman a few years ago about his work.
I have a master's degree in Neuroscience, and my Bachelor's background is Biology. So, as someone coming from a non-mathematical and non-coding background, I found computational neuroscience pretty daunting. Thank you so much for this video, you really helped simplify my approach towards this subject. Love from India 🇮🇳❤️
hello! I´m a hs student interested in neuroscience, and was curious, if you don´t mind these questions: did you find it hard to find a job? what do you do in your day to day life (i.e. what does a work day look like), or what kind of projects do you / your colleagues work on / roles you perform? Thank you!! I´m trying to get a more day-to-day view on the career :)
@@andreaalminana1794 There are a lot of options for someone from a neuroscience background. There's no one size fits all option. It's very diverse.
All the best!
@@andreaalminana1794 Well, after my Master's in Neuroscience, I did M.Phil. in Cognitive Science. And now I am planning for a PhD in Neurobiology or related field. Neuroscience is a young field and there are plenty of opportunities, but since I wanted to stay in academia and research, I am thinking of PhD and post doc.
@@sarahahamed970 Which college did you go to study all youe degree and post graduate courses in neuroscience?
@@sarahahamed970 hi, do you mind telling about yearly package for a neuroscientist where you live?
Excellent recommendations. It is a very complete set of books. Personally I would add the classic book From Neuron to Brain, which just last year they released the sixth edition.
I am also a student of neuroscience. Best regards from Mexico 🇲🇽
This is so helpful! Thank you so much for making this!
I am both sadden and glad this does not have millions of views. then again it's only been 15 days and it's already at 64 thousand. Thank you so so so much for making this video. The hardest problem for the novice in any topic, in my experience, is to be able to distinguish the skills they need to learn from the advertisements of tools or experience they should be paying for. I will be applying this knowledge in my own search for meaning. Thank you :D
Hi. I'm a MSc. in molecular biology and genetics. I wanna be Phd student the neuroscience. It was a very useful video. And now I'm also learning python thats it.☺️
McKay’s book is fantastic if you have a physics background, or if you prefer physical/intuitive explanations alongside mathematical ones.
My undergrad was in cell & molecular biology with a minor in physics. I took lots of math too. My biggest regret was not taking *any* computer science or programming classes, though. I corrected this as a post-bacc.. I am doing a masters in Data Science now and can attest to the absolute need for R and Python programming skills. In reality, I am not sure you can get to my knowledge level with a few bootcamps online. You can supplement, for sure. But you really need the rigor of a course, imho, to at least start your self-learning process. The Bishop book is indeed awesome. The David McKay has the class he uses that book for online, btw, right here on TH-cam. Computational neuroscience is definitely an interest of mine. We shall see what kind of doors open once I complete this Data Science MS.
I am a librarian
And i found it very useful for my user community 💞💞💞💞
Thankyou so much
Finally a channel about Computational Neuroscience I was looking for! Thanks for great intro into the topic! I'm doing my Bachelors at the moment in CS and this guide will help me a lot with choosing what to learn outside my school priorities. Thanks!
as a self-taught dev, i wanna see more self-study resources on sciences particularly neuroscience. there's already so much content for programming
your video combined all of my goals into one video!
at the moment i am studying computer science, in the future i am planning to study physics
i also wanted to study neuroscience to some extent, to be able to understand concepts of computers better…
thank you
Coming from a non-tech Excel background, I found R far easier to use than Python, as I didn't have to learn much CS. Additionally, you don't miss much by choosing R, as similar to Python, it too also comes with pre-built ML/DL libraries like Keras - so basic googling & Copy-Paste of code is good enough.
Good luck dealing with R memory management issues when you use a big dataset.
Also, for computational neuroscience purposes Python is the standard and the standard allows you share in a better way your work. I might say that you should be fluent in both at some point.
I'm doing that course by Andrew NG it is really good even if it is somehow old but it is still relevant ... it gives you whole mathematical background about machine learning and data science
Ever since I watched a video about learning electronics on your own, TH-cam recommends many self learn videos, and now this. Now I don't know what it is that I should learn as there are so many interesting things 😄
Medicine will have to find a way to keep us all alive to age 300, so we can have a fair chance to at least halfway learn half of these topics!
This video simplifies my confusion to workable levels. Thank you, Charlotte.
videos like these are the most useful kind on youtube, probably. I promise I'll look into it when I finish university prep...
Thank god, someone finally made a video about it. May your efforts get rewarded
Fills a gap here at youtube. Thanks so much for putting the effort for producing this video. Hope seeing your channel grow. Best regards :-)
A clever ,polite, amenable woman that gives value. Useful video.
I love this video. I did my bachelors in Astrophysics, my masters in Medical Physics, and am now starting a PhD in Neuroimaging. I love to see someone making science more accessible!!
That’s an impressive set of degrees in areas not normally considered to be closely associated with one another-are they available online?
Normally, a BS level degree will be in “physics.” Then, focusing upon a specialized area within physics, such as astrophysics, will normally require astronomy courses, lots of math, more (theoretical) physics, an approved thesis, and an MS results. A PhD in the sciences extends a Master’s, and normally requires a unique proposal, a very specific area of study and research, and a dissertation approved by professors.
Neuroimaging, in our dept, can be approached from an MD/medical perspective, via an engineering route, or computer science degree programs.
Did you pick up a chiropractic degree as well?
Thanks for the nice video. For the physics part I would suggest the "Neural Dynamics" book by W. Gerstner and also Dynamical Systems in Neuroscience by E. Izhikevich.
Yes good call, I even have the Dynamical systems book lying around somewhere!
I agree. Griffiths' Electrodynamics are for upper division physics and I wouldn't recommend it to people who hasn't done electrostatics and relativity yet. The book requires strong calculus 3 and vector calculus skills too.
EM Purcell's E&M book is great for beginners, because it introduces the needed Vector Calculus as it goes and doesn't use it as freely as Griffiths. It's also more wordy than mathematical which beginners might prefer
The Izhikevich book definitely assumes a knowledge of differential equations.
Great video! I wish someone would have told these at the beginning of my PhD
Wow. I didn’t know this field of specialization has become a bit mainstream. Happy to see the confluence of neuro science, programming and math. Doing just ML feels very dry so this field seems very interesting.
A very good video. Basically, these suggestions apply to anything “computational or modeling” - finance, neuro, economics, marketing, physics, etc, only the last part changes according to the area. Nowadays everything becomes datafied.
Loved this video! I'm coming from a psychology-based background and am interested in getting into computational neuroscience. It was scary to think of the maths but after watching this video I think that with some work I can actually make it happen (or at least give it a go!). Thank you for sharing these great tips with us.
I think you can apply this topics in psycological field
And after that you will become a data scientist in psycological field
In your opinion I'm thinking true or false? Thank you
You definitely can! Where's your math training at right now?
@@bogusmcbogus2637 I'm just finishing my degree in Psychology so I'm going to do some training in maths once it's done. I have done a lot of stats though, so at least won't have to worry about that.
@@myfictionalthoughts lena I'm in the last year of my degree in pharmacy
And I want to study psychology and take some courses
Can you help me
How can I study this field alone
And take a fundamental think that enable me to understand more deeply in this field
Thank you
@@Opq01939 Sorry, I'm not sure how you can transition from pharmacy to psychology. It depends on the country. I think you would have to do a conversion course (like masters) in psychology if you have that available in your country and if not then probably another undergraduate.
First time on this channel and this is the kind of content we need to see spreading in TH-cam and other social media plattforms. Please, keep doing this great work and thanks for spend time moving this channel forward!
I'm doing a self study starting with bishop and there is so much to learn if one wants to try to enable AGI. Thanks for making this video accessible and sharing resources.
Never change Charlotte! Don't let the system keep you down! Dont change!
thanks for the info! i will always love R over Python because the way you can perform logic & arithmetic across entire arrays (series? vectors?) is just so much faster and more intuitive
Thank you! I know im late, but there's very few good "getting started" most videos are either to towards the beginning or assume way to much knowledge, this video was perfect!
Computational Neuroscience sounds so cool! I was never really into it, but I think now could be a good time to start!
@Meu Deus é Fiel Why not?
Bedankt voor de fantastische aanmoediging in het begin van de video: het is 2022 en je kunt alles leren.
Het neemt blokkades weg en het stelt mij ten doel om te gaan leren.
Thank you so much for the tips. I am currently doing a bachelor’s in physics and computer science, but am unsure whether I want to pursue higher education in Theoretical physics or Applied computer science or Applied discrete mathematics 🤕. To those about to start their bachelor’s, keep in mind that interests change a lot, so take as many diverse courses as possible. Build up skills rather than a set- in- stone degree.
This is a great video. It randomly popped up on my recommended page and it is put together really well and very informative!
OMG, I have read your papers on normative modelling before, thank you for sharing the experience!
I am so grateful for this video. I’m trying to learn neuroscience on my own and I really want PhDs to lay out the path for people like myself to attain that expertise without school. I’ll follow your path. Bless you.
I'm just starting my educational journey into biochemistry, with the goal of getting into neuroscience one day. I think this randomly suggested video is about to change my life.
I did my bachelor's in electrical and electronics engineering and I am pursuing my masters in big data. Machine learning is an aspect of it so this information really helps. Thanks a lot.
Charlotte Fraza, Many thanks for your videos. I was an Algebra-1 teacher in Los Angeles. Knowing how to increase student attention and Restesting after thorough reviews of only major unit tests created the only As(19) and Bs(34) in my 8th Grade Algebra-1 dept of 4 teachers who did not retest but were superior teachers to me. It may be like iteration of AI computer data. I know SPSS and am learning Python to teach it online for free and Algebra-1 using an approved CA Algebra-1 book but with different problem examples I will create. I look forward to all your future videos. Again, Many Thanks for me and the thousands of kids who will benefit from any free Algebra-1 course I can find and publicize while I develop mine. Peace
Yo thank you for the video, also ty to everybody for sharing all of your great resources for others to use. The best part of learning of is the community, and this video + comment section is proof of that.
So glad you take neuroscience as your channel topic! Nice video!
Interesting! I have an undergrad degree in Mathematics and doing a masters in data science! I have an interest in Neuroscience. It is fate that I found you! 🥰 I was just thinking about learning basic neuroscience just for fun and see where that will take me.
Check out Cellular and Molecular Neurophysiology by Constance Hammond. It is easily in my top 5 science books in any field.
@@bogusmcbogus2637 thank you!
It is fate and maybe the fact that youtube has really good recomandations
I'm in this Field....your video is very informative for everyone wanting to enter this field...good job
i really admire ppl you who are so intelligent and are good at science. i wish i was just as smart as you 😊
I am a medical student in second grade and I really love anything related to the brain, in addition to programming, and mathematics stuff. And I am really interested in them. And I didn’t know how to combine them. Now I know how ❤️. I will take your video as a reference and I will save it. I am really thankful. You made me so excited 😂❤️
I really loved this video. I'm a medicine student interested in neurophysiology, and I like the idea of mixing machine learning, electroencephalography and evoked potentials. This will help me a lot. For the neuroscience subject I'd also recommend Kandel's Principles of Neural Science.
Maybe TH-cam algorithm is optimized only for the revenue of the company, but man, I am few months before cognitive science masters and after gap year and this video, together with the comments below is some kind of information heaven for my mind right now. Thank you!
This is the kind of content I want to see youtube. More. Thanks Charlotte.
Bishop was the second book i bought when studying Machine Learning on my own....what an awesome book....👍
A very well presented summary for folks starting up on this. I got a lot from this. You have a cheerful personality which helped me not get afraid of the huge skills mentioned here haha! Thanks.
I prefer VS Code with the Jupyter extension to Jupyter notebooks. It's a lot more versatile and easier to set up, plus you can use all your favourite keyboard shortcuts that you already use to program in other languages.
I'm doing my PhD in statistical mechanics. I don't have any biological background, but I think computational neuroscience is a very interesting subject. I really want to study it and I will start with your recommendations! Thanks.
Great video quality: conciseness, topics approached, list of references. Beatiful!
I recognized so many of these recommendations! I totally agree with you on all of them :) Thank you so much!
I got in TH-cam waiting for knowledge to follow my path in Neuroscience. Thank you!
I was thrilled about the fact that I know most of the topics you mentioned, and then I remembered I'm a computer science undergrad lol
I did mathematical neuroscience research with a bachelors in neuroscience (pretty terrible grades if I am honest haha).
Like she said, Neuroscience is the easy part, the math is the hard part
I learned MATLAB and machine learning from the Machine Learning course she mentioned by Andrew Ng. I pretty much learned diff eq and a lot of linear algebra while in the group
The one thing I wish is that I really wish I had a better understanding of linear algebra. I have actually heard Gilbert Strang is a bit tougher for LA but I really liked the videos on 3Blue1Brown.
I learned C and Python from a course called CS50 and doing a lot of projects I am currently working as a software engineer :)
thank you for your video, I am a chemical engineering who is trying to find her way but now it's pretty clear for me that computational neuroscience it's pretty cool and I want to pursue a master in this, Thank you
I've just graduated with a bachelor's degree in Biology, currently finding scholarship to pursue neuroscience for a master, thank you for sharing. I'm starting to learn Python 🙏
hi, can i know if u know of the career opportunities a masters in neuro will open for u?
@@VerdantSeeker I'm planning to be a professor, teaching and researching at a university.
Wow, thank you. I am taking pre-medical program (Biology). Thank you for the tips and learnings. I want to learn more how to communicate and link life science to the people outside my program.
Thank you very much for the content, there are not many of this type on yt. I have a background in Biology, and my dilemma was which programming language to stick with. It's becoming clear to me now! In particular I am getting into neural signals, I hope you make a related video!
This channel is amazing!! Please keep up with the good work! Thank you for introducing me to such an amazing topic!
THIS IS A VERRRRYYY INFORMATIVE VIDEO!! THANK YOU!
Currently in my 2nd year of my physics degree, this looks like something really cool that I might look into doing
Omg YESSSSS thank you! I’ve been just starting to get into it bc I’ve been loving learning about predictive modeling
Hi Charlotte, you’re my inspiration. Accepted in neuroscience in Mexico. I have 18 years old.
Amazing congratulations! 💃
I would love to see statically-typed (with type-inference) languages invade data-science. I've worked with a number of data-science groups and these dynamically-typed languages like R and Python allow people to make some really hard-to-debug mistakes.
You may be delighted looking at Julia and its type system..
Wow, I'm so elated! I want to do a PhD in Cognitive Neuroscience and Theoretical Physics, and watching this video is quite inspiring!
Best of luck!
@@CharlotteFraza Thank you much!
Heel nice om te zien dat iemand Tubed over Computational Neuroscience. Dit jaar begonnen aan een CompNeur project bij Maastricht University. Mega moeilijk om jezelf aan te leren, fantastisch dus dat je het pad voor ons vrijmaakt! :D Bedankt!
*You are great creator, keep bringing the academic insides and spreading the information so that one can prepare himself before joining a phd program*
Just found your channel and I like the quality of your videos. Hope to see more from you!
I started learning Python, and I got an EMG and Arduino to play around with. I’m also starting on MIT’s free Probability and Statistics and Single Variable Calculus courses. I don’t have a degree, but I want to get my name on a research paper in the field of computational neuroscience. Chat GPT is making the job of an autodidact so much easier by acting as a personal tutor who you can take clarifying questions to.
Your videos have helped me formulate this plan of attack. When I become a world-famous researcher, I will make sure to mention you ;)
I am currently pursuing undergrad in psychology and am very interested in the study of neuroscience. I was just searching for how to prepare myself for Msc in neuroscience and this video was very helpful. I would be very thankful if you posted content on more about how to prepare oneself to enter in neuroscience mainly for non STEM students. Thank you.
Best of luck! And thats a good idea I will post more on that 😊
Hello , are you doing undergrad in india ?
Please give me your phone no. or your email so that i could contact you for getting info about neuroscience . Please cooperate me ! Im interested in this field .
Currently im in 10th std cbse . Im very good in mathematics , so is there any field related to maths in neuroscience?
wonderful video I'm currently halfway into a masters in neuroscience and education and want transition into this!
I read my first book on the topic literally called "MATLAB for Neuroscientists" on my first year of university... ended up learning both my first programming language as well as getting initiated with computational neuroscience in one go. Strongly recommend if you can find a copy of this book from your local library (or elsewhere).
I’m a pharmacy undergraduate and recently peaked an interest in neuropharmacology; hoping to see if computational neuroscience is suitable for me; amazing video; really explanatory
I am a first year psych undergrad but I fell in love with neuroscience the moment I got a neuroscience module. My strong points are stats and biology so far but I don't know much about programming. It is really intimidating because I am a high-school drop out so I never believed in myself.
Hi Black Box...
You may want to check Python for Everyone by Charles Severance for a gentle introduction.
I agree that Andrew Ng's Machine Learning course on Coursera is very useful for people with beginner-level knowledge of stats. I would also add the book Computational Modeling of Cognition and Behavior by Farrell and Lewandowsky. It is a great R-based introduction to Machine Learning, including different model fitting and model comparison algorithms.
Ng's course is good, but at that level. Someone who has been following the academic literature for a while might not need the whole course from scratch, but it could be good for a systematic overview, fill in some gaps, or to recall stuff you should already know but have neglected due to career twists and turns.
AAHH, so this is what I was experimenting with back in 2010! Thanks, I never knew the name! I grew artificial neural network with genetic algorithms and formed populations from the different structures and then sorted them by their throughput. I guess real computational neuroscience would instead apply models to actual brain structures and try to mimic the output, but that is only semantical difference.
Yes, we also use the same algorithms with genetics sometimes, so nice that you also worked on that^^!
Trying to get back into this after a few years. 4 minutes in and this seems like a promising video.
My new favorite TH-cam channel❤🙏🏾 thanks for sharing!!!
Great video! Keep it up :) I am a first year PhD student using machine learning on neural data and this video is super comprehensive for anyone trying to get into the field.
For anyone who doesn't know Jupyter (as in Jupyter Notebook) stands for Julia, Python, R or (Ju)(Py)te(R)
I love how she just casually says you only need three things for computational neuroscience
Programming
Math
Neuroscience
Haha I love it
so glad that u r posting this content and so glad that I came across this channel..I'm from a non-science background ..developed interest in neuroscience coz a book about it fell on me whilst I was at the library researching about Nazism and psychology ..intend to do a MSc in psychology n thn go to grad school for neuro hopefully...this video was super helpful! Cant thank you enough! It is so hard to navigate is all n knw about the resources available when u don't hv a background in science n never heard about neuroscience in school.
I'm not an academic or anything, but the topic I most regret not paying enough attention to is statistics. It's incredibly ubiquitous. One day I'll start over and learn from the bottom up again, trying things out in R.
About to graduate with a master's degree in neuroscience in 1 month! Considering transitioning into a more computational/data science field, I hope it's possible since lab life was.... hard. I program a bit in my free time for fun as well. Thanks for all the tips
Do you have a textbook for a good overview in neuroscience that you would recommend?
@@Thedamped Yeah Dale Purves' "Neuroscience"
@@rigelr5345 Thanks! I'll check it out!
I really appreciate it... CNS is very vast area and I didn't know your tips.
there is also a great podcast from doctor Andrew Huberman on youtube which can be great for starting with neuroscience and there are lots of useful tips for life as well in its episodes.
Amazing video, would be cool if you could eventually create content in those specific areas!