I’m American and I must say, nothings more encouraging to my self esteem than to see someone with English as a second language speak, present, and explain information 12X better than me….
Hi Artem! I'm currently doing my own bachelor's in neuro, and I've struggled a ton over the last years - mental health, identity, life circumstances, all came together and had me leave schooling and research part-way through my degree. I'm only just coming back to it now. Your videos are doing two things: reminding me why I love computational neuroscience, and giving me the tools and understanding to push through this time. Thanks a ton, and keep at it.
Hey! Thanks a lot for your comment. Might sound weird coming from a stranger, but I've just been through a similar process. Restarting my studies nearly from zero after three years of bachelor's. I hope all goes well for you!
This is such an inspirational share. Thanks, I can relate to this. Life struggles, mental health, circumstances, etc; but a deep love for neuroscience and then strong desire to learn computational neuroscience after.
Hello Artem, I have to say that your content is so incredibly underrated! After several years of leaving school, your channel has reminded me how much I enjoy learning neuroscience and mathematics. I will be returning to school to finish my bahelors in biomedical science with minors in neuroscience and applied maths and could not be more excited to continue the journey. Thank you for your content
Thank you! I had also falled in the pit of studying all of the math to get myself "ready" for all of the machine learning and deep learning algorithms. Which now I see was pointles, because as soon as I start learning some new pure math concept, I forget the ones I had learned prior, so I get frustrated and tired, and never get to do the coding. I was in the pit for a full year. I re-read Howard Antons Elementary Linear Algebra textbook 3 times. Now I will just get on with the coding and learn Math on the go.
I'm doing a bachelor's in Neuroscience with a minor in Math and I have a background with CS. Most of the stuff covered in my program is focused on the biological and physical aspect of neurons. The computational side of neuroscience was always daunting to me but this encouraged to try it out. Thanks
Recently gained a little bit of interest in this subject, and this is the only video I have seen so far that has been able to give me a better understanding of what the field is all about. Thank you very much Artem!
🎯 Key Takeaways for quick navigation: 00:46 🧠 *Computational neuroscience involves using computers for data analysis and simulations, addressing the overwhelming amount of data collected through experimental techniques in neuroscience.* 04:25 🛠️ *Necessary skills for computational neuroscience include coding (Python or MATLAB), knowledge of neuroscience concepts, and a mathematical toolbox relevant to the chosen project.* 05:33 📚 *Recommended textbooks for getting started in computational neuroscience include "Neuroscience: Exploring the Brain" and "Principles of Neural Science." Reading research papers is also emphasized.* 09:44 💻 *Algorithmic thinking is crucial for effective coding in computational neuroscience. Practice solving non-straightforward problems to develop problem-solving skills.* 15:50 🔄 *Projects are essential for learning computational neuroscience. Joining a research lab is beneficial, but self-started projects, inspired by research papers, can also be valuable for hands-on learning.* Made with HARPA AI
This is a fantastic video. I'm about to take a 12 month sabbatical to study computational neuroscience and deep neural networks (two very different fields obviously). I love that your channel exists, and will keep a close eye on recommendations like this. I've already reached out to a computational neuroscience lab at one of the best universities near me and they're supportive to mentor me into a masters program or PhD program. This would be a pretty big career pivot for me and I'm excited about the possibilities.
i wouldn’t say they’re very different, either. DNNs are based of the brain and while you wouldn’t be monitoring calcium ions levels for example, there is a lot of overlap. good luck with everything!!!
Man! If I follow you , definitely I can grow in coding and computational neuroscience. You are so clear and convincing . You have a great future !! I by the way hold PhD in Structural Biology, Biophysics and Biochemistry in Alzheimer’s and Multi-molecular Complexes !! I am now into quest of Consciousness, Psychology and Neuroscience!!
Literally thank you for this. First steps into neuroscience on my own. Will try and keep u updated with my exciting journey. Hope I don’t give up and find what I am looking for 🙌
Thanks again! I'm so so glad I stumbled across your channel! you've really given me a LOT to think about as I'm just starting down the path of data science. there haven't been too many channels I've come across on how to really pursue my goals in this sort of fluid, structured, unstructured way of being self-taught! also thank you for making me aware of these open data resources! Next challenge is to find a project that I get to play around with! thanks again!
Glad I searched and clicked on this video. Thank you for your help and I hope I have the earned privilege to give my contributions to this field in the future.
Your channel revealed that the field id always wanted to go into was real and has a name . :) going to be finishing my biochemistry BS this year with three years of biophysics experience and I’m super excited to see what lays ahead!
Going to start my graduate program in computational neuroscience next year. I come from a mechanical engineering background, and this video provided a good library of resources to get started.
I’m studying biomedical engineering with a focus on medical imaging to get a larger perspective on healthcare and its engineering aspects, but computational neuroscience is 100% what I want to do in the long run. Thanks for this rough outline so I can improve the computational neuroscience side hustle of my degree, lots of value I can add to my professors’ labs and connections I can make w/ these skills
Alot of very good advice! I'm interested in comp. neuro. and cog. sci., coming from a mathematical background, but only as an anscilliary to inform what I hope to do: which is essentially elucidating _epistemic facts,_ focusing on the "general solution" to intelligence from the top-down and stuff like that - yeah, I'm trying to be even _more_ interdisciplinary, and make even less money (I like the sort of stuff published in IEEE, and sometimes Synthese depending.) I was pretty much like you learning math as well, but I was less anticipatory, and would try and find proofs as they came. I thought that your idea would be essentially the best way to teach math to students: if you designed your major assignment such that it hit on a great swathe of the sort of problems you might see in as many industries/research as you can (the interdisciplinarity will be useful down the line) and then motivate the whole course by sticking the assignment questions right at the start of the first lecture, so students are contextualising everything they learn wrt the assignment.
I’ve been trying to tackle the problem similarly to you. I think epistemology is the most important, and least understood portion of the interdisciplinary approach. I’d love to chat about what you think about induction, concept-formation, and generalization, in the context of plausible cognitive science frameworks.
@@khalilhughes1481 Ah, well I am very influenced by Quine and Putnam on the one hand, and by Friston and Bach on the other. I would look to our best sciences of induction for clues concerning it's nature: statistics and ML are good case studies. From this approach, we can't be a nominalist - statistics really should be synonymous with dimensional reduction: that is, the central deep motivating dogma of statistics is the removal of information from the data makes it _more_ predictable. This becomes most pronounced with non-parametric methods, where excising a notion of magnitude between the data allows us to fit it better to a normal curve, because we know the distribution of ranks/signs/etc. It sounds obvious enough that the brain does this sort of thing - we have known as much since at least Kant - but that it is a feature of general learning systems is my motivation. A system seems to require, for it to learn, must find computational reducibility i.e. redundancy in it's environment to build it's models. It has to do this; it has a perfectly good computationally irreducible model of it's environment already at it's disposal: it's environment (this is Wolfram's idea). If it can't do this, it has to force it with some lossy method. Couple that with the insight that every organism is a model of it's environment necessarily. Information necessarily has to affect the internal states of an organism such that there is a motor response such that it minimises the free energy of the system. Induction in this sense is a very low order process. At the level of concept-formation, I suspect that's where identity comes in to play. I think Heidegger and Carnap asked the right questions: A concept only needs a name and a sense for it's being true. To get at this, we need to know what the necessary conditions for some concept to "refer" are. Heidegger's corpus ends there, but it's the big question afaic. Bach talks about consciousness as a system modelling itself - or self-evidencing (circularity's fine if it's big enough) - almost as though it's treating itself as a part of it's own environment, and attempts to compress itself into something it can predict and model itself across time. We may treat objects/concepts alike, to be modelled across time - likely accounting for the second horn in Carnap's definition, but I don't know if that's absolutely necessary for generalised learning systems. Something Friston has called for are MLAs that have exploratory/novelty-seeking behaviour. There's much talk of new language models "being conscious", but I have never seen an LM ask a question of it's environment, in an attempt to model it, let alone ask a question of _itself_ in an attempt to model itself. I hope you found that interesting!
Amazing video 👏🏼👏🏼 I'm BSc in neuroscience, and learned to love computing through cmput electives. But I didn't touch computational neuro since I thought I'd have to know all the math and be a genius coder or a graduate comp sci student first. It was really helpful to see that debunked! Especially that you mentioned python was popularly used, the only programming language I know. I'm soon getting into research, and stumbling into your channel has encouraged me to pursue it with this angle :)
Studying Bio and Psych in undergrad rn looking to move into neuro this stuff is really helpful, not a lot of practical info about the field out there. Cheers man
Thank you very much for your video. I was not from a technical background, so it took me very long time to adapt, but now I want to learn more about CS applications in other Sciences. Your video gives me basic ideas of how to study by myself. If only your existed earlier 🥺
Very helpful video. All necessary information of how to start learn neuroscience by yourself. Especial thanks for a bunch of resources of the computational neuroscience. Спасибо большое:)
hey, desculpa mandar mensagem do nada KKKKK, mas dificilmente vejo algum brasileiro comentando em algum vídeo de fora sobre neurociência computational ou algum ramo da neurociência. Enfim, eu iria adorar conversar, saber o porquê você começou a estudar essa área, por onde, se está em dúvida em mais de um ramo (em outras áreas da neurociência)... Se for um incômodo, pode desconsiderar os questionamentos e valeu por ler!
Had the same problem with "trying to learn all the math first" with trying to get into AI. But that's just way to abstract, you have no results, learning curve and motivation starts fading. The best thing is just to code code code and build stuff yourself. Replicate the top research papers etc. You'll learn the necessary math on the way.
I love your videos! I'm studying a bachelor's in computer science centering around networking, algorithms and ai and systems penetration. I also love medicine and physics. What I am really interested in though is the brain, I'm autistic and it makes me think differently to most people. I want to understand those differences, neurologically. I want to incorporate computational neuroscience into artificial intelligence, approaching the subject through quantum computing. As part of an MSc I plan to study a bachelors neuroscience and signal theory module. Would have had a long way to go before I could start down that route, but mainly because I didn't know how to access it. But I think I should get some of those books you suggest and start!
Step 1.python Step 2.codeforces smth Step 3.books :- # general neuroscience 1.N exploring the brain- barry connors 2.principles of N- eric kandel 3.the brain from inside out- yuri And research papers # comp N 1.Theorotical N comp and mathematical modelling of neural systems - peter dayan &larry abbott 2. Dynamical systems in N - eugene Step 4.math stuff # mit yt lectures on linear algebra Step5. Projects// join a research lab
I want to commend you on the exceptional quality of your content. I have a background in programming with Matlab and R, and for the past few years, I have primarily relied on Python. However, I still have a deep appreciation for R. I would greatly value your opinion on whether it is worthwhile to continue using and studying R, considering its ecosystem, libraries, and other relevant factors. Any insights you could share would be immensely appreciated. Thank you very much.
I've got ADHD which can sometimes help, but when it comes to my long term goal concerning sentient AI it makes me kind of scatterbrained. I'm already 2 chapters into the neuroscience book. I'm interested in the path to sentient (conscious is the next step) artificial intelligence. The idea is that text based AIs such as the one the google researcher claims is sentient, cannot be since they are only taking an input and spitting out an output. A sentient AI must be able to take inputs, store them for later use (memory), and remember past events, experiences, etc. Preferably there is some sort of "neurogenesis", adaptation, etc. I'm currently taking a course in AI at my university for a broad survey of the field, and I'm trying to find the most promising, practical path towards sentient AI. I think bio-inspired design will play a huge role in developing a sentient AI and computation neuroscience is a similar field. I have no illusions that I'm going to create something intelligent or even something that is sentient, but with a solid base in relevant areas I hope to be able to eke out some form of progress in this pursuit and have something to show for it
Hey I know a year is passed but you should check out the book being you by Anil Seth. It’s a really good up to date introduction to consciousness neuroscience. He actually addresses whether or not a conscious ai is possible (he’s a bit agnostic towards).
I think the reason people get so hung up on deciding which programming language they want to go with is because deciding to learn a human language is a big deal. You need time and patience to learn human languages as an adult which is no small task. Of course, some of the differences between programming languages can also be very difficult that require time and patience of their own; but for sure the differences and time needed to learn human languages are of a much higher magnitude than programming languages; each programming language essentially just needs to describe the basic architecture which at its most basic level is the same everywhere.
My attempt to summarize the video 1. Write on an index card the key information of the section you’re studying or the questions that may be asked 2. trial your memory at increasingly spaced repetitions 3. Make sure that when you’re studying and when you’re rewriting you’ve given an excited answer to the question: why do I want to learn this?
Hello my friend, I am a young man living in Syria. I am 21 years old and studying computer engineering. I am still a university student and need three years to graduate. I want to study computational neuroscience because it interests me, especially the topic of brain control of limbs and muscles. I want to migrate to one of the advanced countries like Russia or Germany to complete my studies. Currently, I do not work and my parents support me and give me money to complete my studies. I want to ask you what should I do in the next three years? Should I study a field of work and master it so that I can support myself and after graduation head towards studying a master’s degree in computational neuroscience or should I start studying computational neuroscience now? I really want advice and I have no one to guide me or direct me.
Nice video, Artem :) I think theoretical/mathematical neuroscientists are bit less rare than you might think. However, their identity also tends to morph into others like mathematicians, physicists, or machine learning researchers, so I can understand why you might prefer not to identify them as 'neuroscientists' if that's your view.
Thanks! Well, I just meant that as our technologies advance, there is an emerging subdivision between "computational" and "theoretical" neuroscientists. I feel like the former inherently operate with large amounts of information (either experimental or simulated data), while the latter deal with former mathematical descriptions (think computer vs blackboard & chalk) Anyway, this is just my impression, so take it with a grain of salt. I am by no means in position to say who qualifies as "true neuroscientist" and who doesn't. Especially considering that all the boundaries between fields are really blurred ;)
This was very useful, Artem. To paraphrase you, from the bottom of my heart: thank you. 😊 Two questions, please: 1. have you ever created visuals like the ones at 2:50 or like an interactive brain connectome? Do you know if those visuals are usually made using a certain programming language or using specialized software? 2. what are your thoughts on the book on your desk? I didn't see it mentioned in the video. 😊 Thank you again for the video. I've just starting self-studying neuroscience and the video made me more confident in my approach.
Thanks! 1) The animation at 2:50 was taken from a TH-cam video th-cam.com/video/3JQ3hYko51Y/w-d-xo.html I would really love to know what software the author has used, but unfortunately, I couldn't find any information. 2) This book is called "The Computational Brain" by Terrence Sejnowski and Patricia Churchland ( www.amazon.com/Computational-Brain-Neuroscience/dp/0262533391 ). I've got to confess, I haven't yet read this book fully, it's still on my reading list. I didn't want to explicitly recommend something I don't have a lot of personal experience with. But judging by a couple of chapters I did manage to read, it's a pretty good book ;)
@@ArtemKirsanov Thank you, Artem. I looked through the comments for Denis Dmitriev's video, and found that he used Autodesk 3ds Max. Apparently, the video took 30 hours to render. That makes me wonder: how much time and effort did Denis spend on creating it?🙂 Thank you also for the book info. I'll take a look at it.
Dear Artem! According to Your expirience, is it enough to have only a bachelor degree (in electrical engineering) to join a reseach project? Or it would be nice to have at least a master degree? I am interested in how to heal spinal cord injuries, but do not really know where to start. Also, I like to work with hardware as well, I do not know is it possible in this field. Thanks for Your answer.
I did materials science and engineering, have little coding experience, but am dying to get involved with brain computer interfaces (black mirror kindof inspiration). I have no idea what kind of projects to look for, or what fields would bridge my knowledge to this field, but I’m very overwhelmed at the idea of learning to code just from home. Pls help
Hi, I wondered if a lot of people go into computational neuroscience research (e.g. BCIs) from doing a CS or AI background, and if it's better to have done something with more maths? I am choosing between CS and Maths, and CS and AI undergraduate degree, but I don't know if the latter usually contains enough of the math needed, and if it's harder to teach yourself on the side. I don't know if good computational neuroscience postgraduate programs prefer you to have done the math in the degree itself?
Can you share any resources regarding your dissertation work on modeling calcium with diff equations? It sounds very interesting and something I've never heard of. Would love to read a draft of your work or point us in the right direction! Thanks!
Sure! Here's the central paper written by my scientific supervisors (it was published before I joined the team), which we are currently expanding to include astrocyte-neuron communication. www.frontiersin.org/articles/10.3389/fncel.2021.645068/full It proves a nice introduction to the topic (at least in my opinion) and you can find lots of relevant sources in the references and along reading the text
Thank you very much for this video. I am a practicing critical care physician and I have been interested in learning computational method to use it in critical care, neurocritical in particular. I can code with python and I have good grasp of algorithmic thinking and programming in general. My math, I am learning calculus nowadays and willing to follow your advice in linear algebra and differential equations. later im intending to take the course in ML by Andrew Ng but I am not quiet sure of my approach and roadmap, it would be of great help to give me some insights. Thank you :)
Thank you so much for this amazing video I have a degree in psychology and I want apply a master degree in computational neuroscience but i am a little bit scared because they usually looking for bac degree in math or physic I want to learn math and coding maybe I get a change to apply master in this field and I am open for advices. Thank you.
Join Shortform for great book guides and get 5 days of unlimited access! shortform.com/artem
4:43 no way you showed us something so cool then didn't link it in the description
I’m American and I must say, nothings more encouraging to my self esteem than to see someone with English as a second language speak, present, and explain information 12X better than me….
He is a Russian dude 😎
@@ChadpritaiГойда
Fax
Hi Artem! I'm currently doing my own bachelor's in neuro, and I've struggled a ton over the last years - mental health, identity, life circumstances, all came together and had me leave schooling and research part-way through my degree. I'm only just coming back to it now. Your videos are doing two things: reminding me why I love computational neuroscience, and giving me the tools and understanding to push through this time. Thanks a ton, and keep at it.
Hey! Thanks a lot for your comment. Might sound weird coming from a stranger, but I've just been through a similar process. Restarting my studies nearly from zero after three years of bachelor's. I hope all goes well for you!
This is such an inspirational share. Thanks, I can relate to this. Life struggles, mental health, circumstances, etc; but a deep love for neuroscience and then strong desire to learn computational neuroscience after.
Your videos have quickly become the gold standard intro to intro computational neuroscience videos. Thank you for all of them, Artem.
Hello Artem, I have to say that your content is so incredibly underrated! After several years of leaving school, your channel has reminded me how much I enjoy learning neuroscience and mathematics. I will be returning to school to finish my bahelors in biomedical science with minors in neuroscience and applied maths and could not be more excited to continue the journey. Thank you for your content
You have no idea how much I needed this video. Great advice. Thank you very much for this. Keep posting great stuff!!
I think you’re a genius. If we were in the 80’s you’d be a king of educational TV.
Sometimes I just am astonished and say what a time to be alive. Today, I discovered your channel, and thank you from bottom of my heart.
Thank you! I had also falled in the pit of studying all of the math to get myself "ready" for all of the machine learning and deep learning algorithms. Which now I see was pointles, because as soon as I start learning some new pure math concept, I forget the ones I had learned prior, so I get frustrated and tired, and never get to do the coding. I was in the pit for a full year. I re-read Howard Antons Elementary Linear Algebra textbook 3 times.
Now I will just get on with the coding and learn Math on the go.
I'm doing a bachelor's in Neuroscience with a minor in Math and I have a background with CS.
Most of the stuff covered in my program is focused on the biological and physical aspect of neurons.
The computational side of neuroscience was always daunting to me but this encouraged to try it out.
Thanks
Computation is daunting because it’s like an alien language. But once you’re fluent it’s second nature.
Recently gained a little bit of interest in this subject, and this is the only video I have seen so far that has been able to give me a better understanding of what the field is all about. Thank you very much Artem!
This is such a clear, well put together video. Cant believe I can watch this for free. Thank you so much you're amazing!
🎯 Key Takeaways for quick navigation:
00:46 🧠 *Computational neuroscience involves using computers for data analysis and simulations, addressing the overwhelming amount of data collected through experimental techniques in neuroscience.*
04:25 🛠️ *Necessary skills for computational neuroscience include coding (Python or MATLAB), knowledge of neuroscience concepts, and a mathematical toolbox relevant to the chosen project.*
05:33 📚 *Recommended textbooks for getting started in computational neuroscience include "Neuroscience: Exploring the Brain" and "Principles of Neural Science." Reading research papers is also emphasized.*
09:44 💻 *Algorithmic thinking is crucial for effective coding in computational neuroscience. Practice solving non-straightforward problems to develop problem-solving skills.*
15:50 🔄 *Projects are essential for learning computational neuroscience. Joining a research lab is beneficial, but self-started projects, inspired by research papers, can also be valuable for hands-on learning.*
Made with HARPA AI
This is a fantastic video. I'm about to take a 12 month sabbatical to study computational neuroscience and deep neural networks (two very different fields obviously). I love that your channel exists, and will keep a close eye on recommendations like this. I've already reached out to a computational neuroscience lab at one of the best universities near me and they're supportive to mentor me into a masters program or PhD program. This would be a pretty big career pivot for me and I'm excited about the possibilities.
Oh cool I try to do something similar. Maybe after work in the evening for the beginning. At the moment I'm still an Immunology PhD student.
i wouldn’t say they’re very different, either. DNNs are based of the brain and while you wouldn’t be monitoring calcium ions levels for example, there is a lot of overlap. good luck with everything!!!
Man! If I follow you , definitely I can grow in coding and computational neuroscience. You are so clear and convincing . You have a great future !! I by the way hold PhD in Structural Biology, Biophysics and Biochemistry in Alzheimer’s and Multi-molecular Complexes !! I am now into quest of Consciousness, Psychology and Neuroscience!!
I love you man, please, don't stop making videos.
Literally thank you for this. First steps into neuroscience on my own. Will try and keep u updated with my exciting journey. Hope I don’t give up and find what I am looking for 🙌
Thanks again! I'm so so glad I stumbled across your channel! you've really given me a LOT to think about as I'm just starting down the path of data science. there haven't been too many channels I've come across on how to really pursue my goals in this sort of fluid, structured, unstructured way of being self-taught! also thank you for making me aware of these open data resources! Next challenge is to find a project that I get to play around with! thanks again!
Thanks for making this video! It was really helpful and packed with useful tips. All the best in your journey!
Glad I searched and clicked on this video. Thank you for your help and I hope I have the earned privilege to give my contributions to this field in the future.
Your channel revealed that the field id always wanted to go into was real and has a name .
:) going to be finishing my biochemistry BS this year with three years of biophysics experience and I’m super excited to see what lays ahead!
Going to start my graduate program in computational neuroscience next year. I come from a mechanical engineering background, and this video provided a good library of resources to get started.
My first time here. Thank you to take the time to create content like this!
An old spirit saying thanks to Artem! great/high quality KB sharing videos, I did not find a competitor that matching this.
I’m studying biomedical engineering with a focus on medical imaging to get a larger perspective on healthcare and its engineering aspects, but computational neuroscience is 100% what I want to do in the long run.
Thanks for this rough outline so I can improve the computational neuroscience side hustle of my degree, lots of value I can add to my professors’ labs and connections I can make w/ these skills
This is hugely valuable to me! Thanks for your advice and perspective.
Awesome. Thanks Artem for the work you put in these videos, really amazing 💪💪🙌
Man you are amazing. Your channel deserves much more subsribers. I enjoy your videos so much ☺
Alot of very good advice! I'm interested in comp. neuro. and cog. sci., coming from a mathematical background, but only as an anscilliary to inform what I hope to do: which is essentially elucidating _epistemic facts,_ focusing on the "general solution" to intelligence from the top-down and stuff like that - yeah, I'm trying to be even _more_ interdisciplinary, and make even less money (I like the sort of stuff published in IEEE, and sometimes Synthese depending.) I was pretty much like you learning math as well, but I was less anticipatory, and would try and find proofs as they came. I thought that your idea would be essentially the best way to teach math to students: if you designed your major assignment such that it hit on a great swathe of the sort of problems you might see in as many industries/research as you can (the interdisciplinarity will be useful down the line) and then motivate the whole course by sticking the assignment questions right at the start of the first lecture, so students are contextualising everything they learn wrt the assignment.
I’ve been trying to tackle the problem similarly to you. I think epistemology is the most important, and least understood portion of the interdisciplinary approach. I’d love to chat about what you think about induction, concept-formation, and generalization, in the context of plausible cognitive science frameworks.
@@khalilhughes1481 Ah, well I am very influenced by Quine and Putnam on the one hand, and by Friston and Bach on the other. I would look to our best sciences of induction for clues concerning it's nature: statistics and ML are good case studies. From this approach, we can't be a nominalist - statistics really should be synonymous with dimensional reduction: that is, the central deep motivating dogma of statistics is the removal of information from the data makes it _more_ predictable. This becomes most pronounced with non-parametric methods, where excising a notion of magnitude between the data allows us to fit it better to a normal curve, because we know the distribution of ranks/signs/etc. It sounds obvious enough that the brain does this sort of thing - we have known as much since at least Kant - but that it is a feature of general learning systems is my motivation. A system seems to require, for it to learn, must find computational reducibility i.e. redundancy in it's environment to build it's models. It has to do this; it has a perfectly good computationally irreducible model of it's environment already at it's disposal: it's environment (this is Wolfram's idea). If it can't do this, it has to force it with some lossy method. Couple that with the insight that every organism is a model of it's environment necessarily. Information necessarily has to affect the internal states of an organism such that there is a motor response such that it minimises the free energy of the system. Induction in this sense is a very low order process. At the level of concept-formation, I suspect that's where identity comes in to play. I think Heidegger and Carnap asked the right questions: A concept only needs a name and a sense for it's being true. To get at this, we need to know what the necessary conditions for some concept to "refer" are. Heidegger's corpus ends there, but it's the big question afaic. Bach talks about consciousness as a system modelling itself - or self-evidencing (circularity's fine if it's big enough) - almost as though it's treating itself as a part of it's own environment, and attempts to compress itself into something it can predict and model itself across time. We may treat objects/concepts alike, to be modelled across time - likely accounting for the second horn in Carnap's definition, but I don't know if that's absolutely necessary for generalised learning systems. Something Friston has called for are MLAs that have exploratory/novelty-seeking behaviour. There's much talk of new language models "being conscious", but I have never seen an LM ask a question of it's environment, in an attempt to model it, let alone ask a question of _itself_ in an attempt to model itself. I hope you found that interesting!
@@Eta_Carinae__ VERY interesting, indeed.
Your channel is a gold mine of information for me
Amazing video 👏🏼👏🏼 I'm BSc in neuroscience, and learned to love computing through cmput electives.
But I didn't touch computational neuro since I thought I'd have to know all the math and be a genius coder or a graduate comp sci student first. It was really helpful to see that debunked! Especially that you mentioned python was popularly used, the only programming language I know. I'm soon getting into research, and stumbling into your channel has encouraged me to pursue it with this angle :)
Studying Bio and Psych in undergrad rn looking to move into neuro this stuff is really helpful, not a lot of practical info about the field out there. Cheers man
You are a notch above the rest buddy.... If not several notches. Your passion and approach are exemplary. Kudos 🎉
כל הכבוד. מסביר ברור עניני ומקצועי. תודה והצלחה.
Thank you very much for your video. I was not from a technical background, so it took me very long time to adapt, but now I want to learn more about CS applications in other Sciences. Your video gives me basic ideas of how to study by myself. If only your existed earlier 🥺
Very helpful video. All necessary information of how to start learn neuroscience by yourself. Especial thanks for a bunch of resources of the computational neuroscience.
Спасибо большое:)
Wow so much knowladge! Thanks for sharing it with us it's very low niche to get informations like that. Wish you the best
W's ALL 2024 🏆 You're lit af ❤ thank you I needed this!
Wonderful video. My appreciations for the logical flow of the content, aesthetic value and the overall content.
Thanks!
I'm an incoming freshman at Wellesley College, this video was unique, thanks
Valeu!
hey, desculpa mandar mensagem do nada KKKKK, mas dificilmente vejo algum brasileiro comentando em algum vídeo de fora sobre neurociência computational ou algum ramo da neurociência.
Enfim, eu iria adorar conversar, saber o porquê você começou a estudar essa área, por onde, se está em dúvida em mais de um ramo (em outras áreas da neurociência)...
Se for um incômodo, pode desconsiderar os questionamentos e valeu por ler!
Eii, que legal, vamos conversar sim. Você usa discord?
@@ylicruvinel Opa
@@tonsetz mano KKKKKKKKKKK eu tenho certeza que respondi e sumiu de novo 🤨
@@ylicruvinel Mano que raiva bugou de novo, isso tá acontecendo direto! Adiciona lá setz6600 (com hashtag)
I am learning much!
Hey Artem! Thanks for this sick video, bout to start this amazing journey B)
Very informative Artem. Thank you .
Wait. You are only a bachelor student? WOOOW.
He won genetic lottery 😀
Asked myself same question😅
As the great Gregory house said once :"everybody lies"
Only...
@@egor.okhterovin what way?
Very informative. Keep up the good work.
Had the same problem with "trying to learn all the math first" with trying to get into AI. But that's just way to abstract, you have no results, learning curve and motivation starts fading.
The best thing is just to code code code and build stuff yourself. Replicate the top research papers etc. You'll learn the necessary math on the way.
I love your videos! I'm studying a bachelor's in computer science centering around networking, algorithms and ai and systems penetration. I also love medicine and physics. What I am really interested in though is the brain, I'm autistic and it makes me think differently to most people. I want to understand those differences, neurologically. I want to incorporate computational neuroscience into artificial intelligence, approaching the subject through quantum computing. As part of an MSc I plan to study a bachelors neuroscience and signal theory module. Would have had a long way to go before I could start down that route, but mainly because I didn't know how to access it. But I think I should get some of those books you suggest and start!
Well I am a college dropout but all of this is still lovely as it was.
I love learning about human physiology and 🧠 brain is what fascinates me more.
finally something for my underchallenged brain
Great advice & approach..🧑💻Keep it🧠up..
I'm grateful I found you 🔥
Thanks for sharing valuable information ❤
At 0:29, there is a typo. "comding" -> "coding"
Thank you very much for this video. This has been a great educational experience^^
At 2:50 there is an animation of the activation patterns in an ANN doing OCR. Where is that from? It's amazing.
Thanks for the videos!
Step 1.python
Step 2.codeforces smth
Step 3.books :-
# general neuroscience
1.N exploring the brain- barry connors
2.principles of N- eric kandel
3.the brain from inside out- yuri
And research papers
# comp N
1.Theorotical N comp and mathematical modelling of neural systems - peter dayan &larry abbott
2. Dynamical systems in N - eugene
Step 4.math stuff
# mit yt lectures on linear algebra
Step5. Projects// join a research lab
this was such an awesome video, you've inspired me to learn more :))
I want to commend you on the exceptional quality of your content. I have a background in programming with Matlab and R, and for the past few years, I have primarily relied on Python. However, I still have a deep appreciation for R. I would greatly value your opinion on whether it is worthwhile to continue using and studying R, considering its ecosystem, libraries, and other relevant factors. Any insights you could share would be immensely appreciated.
Thank you very much.
Thank you for the information, I've made a map to start
I am very interested in it. I learned advance computer, mathematics and Neurology.
Wolfram Mathematica is good too and that is a lot cheaper than matlab. You don't need a yearly license. It does help getting new upgrades.
great advice. thank you so much!
I've got ADHD which can sometimes help, but when it comes to my long term goal concerning sentient AI it makes me kind of scatterbrained. I'm already 2 chapters into the neuroscience book. I'm interested in the path to sentient (conscious is the next step) artificial intelligence. The idea is that text based AIs such as the one the google researcher claims is sentient, cannot be since they are only taking an input and spitting out an output. A sentient AI must be able to take inputs, store them for later use (memory), and remember past events, experiences, etc. Preferably there is some sort of "neurogenesis", adaptation, etc. I'm currently taking a course in AI at my university for a broad survey of the field, and I'm trying to find the most promising, practical path towards sentient AI. I think bio-inspired design will play a huge role in developing a sentient AI and computation neuroscience is a similar field. I have no illusions that I'm going to create something intelligent or even something that is sentient, but with a solid base in relevant areas I hope to be able to eke out some form of progress in this pursuit and have something to show for it
Hey I know a year is passed but you should check out the book being you by Anil Seth. It’s a really good up to date introduction to consciousness neuroscience. He actually addresses whether or not a conscious ai is possible (he’s a bit agnostic towards).
Very valuable information. Thanks a lot!
Excellent video, thanks!
There is any eletronics in computational neuroscience?
Thank you very much!
I think the reason people get so hung up on deciding which programming language they want to go with is because deciding to learn a human language is a big deal. You need time and patience to learn human languages as an adult which is no small task. Of course, some of the differences between programming languages can also be very difficult that require time and patience of their own; but for sure the differences and time needed to learn human languages are of a much higher magnitude than programming languages; each programming language essentially just needs to describe the basic architecture which at its most basic level is the same everywhere.
My attempt to summarize the video
1. Write on an index card the key information of the section you’re studying or the questions that may be asked
2. trial your memory at increasingly spaced repetitions
3. Make sure that when you’re studying and when you’re rewriting you’ve given an excited answer to the question: why do I want to learn this?
Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting (Computational Neuroscience Series) isn’t available for kindle anymore.
With the pandemic, I slowly started to perform more and more data analysis with python and R, I guess I am computational neuroscientist now ….
What is your take on Neuromorphic Archetuctures for Spike Detection?
Thank you Artem! It is very helpful. Just one minor typo, 'Resource' in title of math section is misspelled.
Hello my friend, I am a young man living in Syria. I am 21 years old and studying computer engineering. I am still a university student and need three years to graduate. I want to study computational neuroscience because it interests me, especially the topic of brain control of limbs and muscles. I want to migrate to one of the advanced countries like Russia or Germany to complete my studies. Currently, I do not work and my parents support me and give me money to complete my studies. I want to ask you what should I do in the next three years? Should I study a field of work and master it so that I can support myself and after graduation head towards studying a master’s degree in computational neuroscience or should I start studying computational neuroscience now? I really want advice and I have no one to guide me or direct me.
Nice video, Artem :)
I think theoretical/mathematical neuroscientists are bit less rare than you might think. However, their identity also tends to morph into others like mathematicians, physicists, or machine learning researchers, so I can understand why you might prefer not to identify them as 'neuroscientists' if that's your view.
Thanks!
Well, I just meant that as our technologies advance, there is an emerging subdivision between "computational" and "theoretical" neuroscientists. I feel like the former inherently operate with large amounts of information (either experimental or simulated data), while the latter deal with former mathematical descriptions (think computer vs blackboard & chalk)
Anyway, this is just my impression, so take it with a grain of salt. I am by no means in position to say who qualifies as "true neuroscientist" and who doesn't. Especially considering that all the boundaries between fields are really blurred ;)
Great video!
This was very useful, Artem. To paraphrase you, from the bottom of my heart: thank you. 😊
Two questions, please:
1. have you ever created visuals like the ones at 2:50 or like an interactive brain connectome? Do you know if those visuals are usually made using a certain programming language or using specialized software?
2. what are your thoughts on the book on your desk? I didn't see it mentioned in the video. 😊
Thank you again for the video. I've just starting self-studying neuroscience and the video made me more confident in my approach.
Thanks!
1) The animation at 2:50 was taken from a TH-cam video th-cam.com/video/3JQ3hYko51Y/w-d-xo.html
I would really love to know what software the author has used, but unfortunately, I couldn't find any information.
2) This book is called "The Computational Brain" by Terrence Sejnowski and Patricia Churchland
( www.amazon.com/Computational-Brain-Neuroscience/dp/0262533391 ).
I've got to confess, I haven't yet read this book fully, it's still on my reading list. I didn't want to explicitly recommend something I don't have a lot of personal experience with. But judging by a couple of chapters I did manage to read, it's a pretty good book ;)
@@ArtemKirsanov Thank you, Artem. I looked through the comments for Denis Dmitriev's video, and found that he used Autodesk 3ds Max. Apparently, the video took 30 hours to render. That makes me wonder: how much time and effort did Denis spend on creating it?🙂
Thank you also for the book info. I'll take a look at it.
Dear Artem! According to Your expirience, is it enough to have only a bachelor degree (in electrical engineering) to join a reseach project? Or it would be nice to have at least a master degree? I am interested in how to heal spinal cord injuries, but do not really know where to start. Also, I like to work with hardware as well, I do not know is it possible in this field. Thanks for Your answer.
Thanks to ChatGPT recommending your channel. Your video is definitely extraordinary…very sharp and comprehensive advice.
I can see that this video was 1 year ago. Congrats on graduation! :)
Hello Sir, can you make a similar video on theoretical neuroscience?
🙏
Does anyone know what the role of functional analysis (math) is in computational neuroscience and know of any articles that implement the topics?
What are the symbol you created at starting??
I did materials science and engineering, have little coding experience, but am dying to get involved with brain computer interfaces (black mirror kindof inspiration). I have no idea what kind of projects to look for, or what fields would bridge my knowledge to this field, but I’m very overwhelmed at the idea of learning to code just from home. Pls help
Bravo !
Should we first start with bio informatics?
Dang that head swing is wiicked!!
Hi, I wondered if a lot of people go into computational neuroscience research (e.g. BCIs) from doing a CS or AI background, and if it's better to have done something with more maths? I am choosing between CS and Maths, and CS and AI undergraduate degree, but I don't know if the latter usually contains enough of the math needed, and if it's harder to teach yourself on the side. I don't know if good computational neuroscience postgraduate programs prefer you to have done the math in the degree itself?
do you edit your videos yourself?
in germany its a masters degree in computer science, not biophysics. but german universities are limping back like crazy anyway
How to start learning programming..like matlab..etc
Спасибо, очень информативно! Кстати, тебе не говорили, что ты очень похож на Джима Керра?
Не особо
Can you share any resources regarding your dissertation work on modeling calcium with diff equations? It sounds very interesting and something I've never heard of. Would love to read a draft of your work or point us in the right direction! Thanks!
Sure! Here's the central paper written by my scientific supervisors (it was published before I joined the team), which we are currently expanding to include astrocyte-neuron communication. www.frontiersin.org/articles/10.3389/fncel.2021.645068/full
It proves a nice introduction to the topic (at least in my opinion) and you can find lots of relevant sources in the references and along reading the text
Good Video
Ive done bachelors in cs now im thinking masters in comp neuroscience
Hello, I studying CSE right now. Can I do research on my own on NS? As I don't have the neuroscience lab out there. All I have is a laptop...
Thank you very much for this video. I am a practicing critical care physician and I have been interested in learning computational method to use it in critical care, neurocritical in particular. I can code with python and I have good grasp of algorithmic thinking and programming in general. My math, I am learning calculus nowadays and willing to follow your advice in linear algebra and differential equations. later im intending to take the course in ML by Andrew Ng but I am not quiet sure of my approach and roadmap, it would be of great help to give me some insights. Thank you :)
Thank you so much for this amazing video I have a degree in psychology and I want apply a master degree in computational neuroscience but i am a little bit scared because they usually looking for bac degree in math or physic I want to learn math and coding maybe I get a change to apply master in this field and I am open for advices. Thank you.