Such a rich explanation of how one can learn effectively. It is as though Fraza sat down to distill numerous theories of learning in a ten-minute video. This video is worth re-watching especially when studies are 'rocky' and you start doubting your abilities. Such a gem!
Something I like to do when studying diagrams for my own note taking is to break them up into their "constituent parts" and write out a story connecting one part of the diagram to the next. I usually dedicate one note page for this, and it's incredibly helpful for understanding. Great video!
Ur living the most beautiful life there is.the academic life..I don't really want money.i just want to be just absorbed into my researcher.i hope one day I can realize that.keep guiding me through ur channel
Hii Charlotte, thanks for your content! I'm a PhD Student in Computer Science (studying tech and classical ballet with AI, I love these fields) and your channel is so good! I really appreciate the way you share your knowledge and experiences here. Thanks! Good luck on your journey and kisses from Brazil ❤
Thank you! I found your channel while doing research for a Cognitive Systems Engineering class. The project had to do with learning to read scientific papers. It was so enriching for me as I found so much information.
Thanks a lot, I will apply this. I read too much book and I do not apply enough. I did not know how to apply and even if it's not about technical knowledge, those books are applied books or conceptualize new things. Now I have a method, Thanks a lot :)
Well this approach to learning subjects was once recommended by my father , I know one thing for sure that this really works. It has one advantage that I myself realized during my bachelor degree in Mechatronics Engineering, unlike my peers I don't have to go back every time to learn again. Thanks charlotte and I want to know your say as a neuroscience student whether learning various technical subjects at same time is recommended or one should take it step by step.
I only review stuff out loud when I am in crowded spaced. When I have completed my review, I sprint away screaming. I have a reputation I have to uphold.
Hi Charlotte, thank you for all the content you share, that’s amazing and so helpful .I am doubty about my future, but i do really love neuroscience .Where do you do your phd?
Hi Charlotte, thanks for your videos! I'm starting a master's course in neuroscience and I've already saved all your book recommendations... I'm a little bit worried about this new challenge in my life but i'm confident that it's the right path! Do you known any discord channel or community about computational neuroscience? (some place to remotely learn and share knowledge...)
Given that you studied theoretical physics before entering into the field of computational neuroscience and its more interdisciplinary elements, how different is the learning style in theoretical physics in comparison to computational neuroscience
Hmmm, I would compare it a little bit to the difference between theoretical physics and computer science. I think within TP I mostly did large math equations from scratch on paper, but within CS I created a lot of code that did the computing for me. I feel that CN is most similar to CS, at least in the area that I work in 🧠
This is some really great advice on how to approach learning in a very methodical way; It's awesome! Really got me thinking about what learning means in a philosophical way xD
How to regurgitate information (Basic Computer Process) by programming the mind (Basic Computer Process) to be a good worker E.G S l a v e... for rich and powerful men.
It's not about being smart. It's about becoming an expert and researcher in one's field. And the skills mentioned in this video aren't even specific to the PhD...
Such a rich explanation of how one can learn effectively. It is as though Fraza sat down to distill numerous theories of learning in a ten-minute video. This video is worth re-watching especially when studies are 'rocky' and you start doubting your abilities. Such a gem!
Something I like to do when studying diagrams for my own note taking is to break them up into their "constituent parts" and write out a story connecting one part of the diagram to the next. I usually dedicate one note page for this, and it's incredibly helpful for understanding. Great video!
That's a great idea!
Ur living the most beautiful life there is.the academic life..I don't really want money.i just want to be just absorbed into my researcher.i hope one day I can realize that.keep guiding me through ur channel
Hii Charlotte, thanks for your content!
I'm a PhD Student in Computer Science (studying tech and classical ballet with AI, I love these fields) and your channel is so good!
I really appreciate the way you share your knowledge and experiences here.
Thanks! Good luck on your journey and kisses from Brazil ❤
Thank you! I found your channel while doing research for a Cognitive Systems Engineering class. The project had to do with learning to read scientific papers. It was so enriching for me as I found so much information.
I've always been fascinated to neuroscience.
This also seems like great life advice as well. Esp. the part about how you attract communities.
havent finished the video yet but at 0:19 that is the coolest simulation I have seen... would love to see a video about whats going on there ❤
Please a notion tour
I love it when my Dutch queen posts 🥺
Great Video Charlotte, Your method is similar to Feynman Technique , Love the video, keep up the good work
Thanks a lot, I will apply this. I read too much book and I do not apply enough. I did not know how to apply and even if it's not about technical knowledge, those books are applied books or conceptualize new things.
Now I have a method, Thanks a lot :)
Dear mam thank you very much for your precious advices, I really value them and will try to follow in future ☺️🙏
what types of math derivation (mentioned at 08:28 ) have you been doing and what genre of books are those?
❤lovin' the content as embark on the journey of learning Mandarin💯💯💯.
Great advices, thanks!!
First !
Thank you for the amazing video
Thanks for watching!
I love all of your videos ❤
Useful tips, thanks for sharing.
Well this approach to learning subjects was once recommended by my father , I know one thing for sure that this really works. It has one advantage that I myself realized during my bachelor degree in Mechatronics Engineering, unlike my peers I don't have to go back every time to learn again. Thanks charlotte and I want to know your say as a neuroscience student whether learning various technical subjects at same time is recommended or one should take it step by step.
I only review stuff out loud when I am in crowded spaced. When I have completed my review, I sprint away screaming. I have a reputation I have to uphold.
Not gonna lie just because of you I've found neuroscience more interesting..Glad I found your channel :)
I like your way much more thanks for sharing
My pleasure 😊
Thanks for the video
do you have a system of highlighting and do you create questions while reading?
Your r really intelligent 👍
Hi Charlotte, thank you for all the content you share, that’s amazing and so helpful .I am doubty about my future, but i do really love neuroscience .Where do you do your phd?
take love from Bangladesh ❤️
Hi Charlotte, thanks for your videos! I'm starting a master's course in neuroscience and I've already saved all your book recommendations...
I'm a little bit worried about this new challenge in my life but i'm confident that it's the right path!
Do you known any discord channel or community about computational neuroscience? (some place to remotely learn and share knowledge...)
Why people don't recommend highlighting? Is has worked wonders for me when I want to speed stuff up
Given that you studied theoretical physics before entering into the field of computational neuroscience and its more interdisciplinary elements, how different is the learning style in theoretical physics in comparison to computational neuroscience
Hmmm, I would compare it a little bit to the difference between theoretical physics and computer science. I think within TP I mostly did large math equations from scratch on paper, but within CS I created a lot of code that did the computing for me. I feel that CN is most similar to CS, at least in the area that I work in 🧠
I watched every video of you ❤️
You are very inspiring
This is some really great advice on how to approach learning in a very methodical way; It's awesome!
Really got me thinking about what learning means in a philosophical way xD
How many languages have you learnt?
How to regurgitate information (Basic Computer Process) by programming the mind (Basic Computer Process) to be a good worker E.G S l a v e... for rich and powerful men.
Ik had niet door dat je Nederlands bent tot je je naam zei
I do not know why such a big deal doing a Phd to be honest. Since, it will be never make you smarter.
people have identities
It's not about being smart. It's about becoming an expert and researcher in one's field.
And the skills mentioned in this video aren't even specific to the PhD...