How to learn Computational Neuroscience on your Own (a self-study guide)

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  • Опубликовано: 19 июн 2024
  • Hi👋, today I want to give you a program with which you can start to study computational neuroscience by yourself. I listed all the resources below. Hope you enjoy ❤️
    00:00 - Intro
    01:00 - 3 skills for computational neuroscience
    01:11 - Programming resources
    04:00 - Machine learning
    05:01 - Bash code
    06:00 - Mathematics resources
    08:02 - Physics resources
    09:46 - Neuroscience resources
    👩‍💻Programming:
    100 days of code: www.udemy.com/course/100-days...
    Machine Learning:
    - Christopher Bishop - Pattern recognition and machine learning geni.us/ArpR8g2
    - Information Theory, Inference, and Learning Algorithms
    David J.C. MacKay - geni.us/vyqyKo
    - www.coursera.org/learn/machin...
    ➕Math:
    - Introduction to Linear Algebra - gilber strang - math.mit.edu/~gs/
    - 3blue1brown: Vectors | Chapter 1, Essence of linear algebra
    📈Data science and statistics:
    - Fundamentals of Statistics learning.edx.org/course/cours...
    - Probability - The Science of Uncertainty and Data learning.edx.org/course/cours...
    - Naked Statistics: Stripping the Dread from the Data -geni.us/H0I61P
    👩‍⚕️Physics:
    Introduction to Electrodynamics - David J. Griffiths - geni.us/03Aaz
    An atomic Boltzmann machine capable of self-adaption - www-nature-com.ru.idm.oclc.or...
    Lecture by bert van kappen: • Bert Kappen: Quantum M...
    🧠Neuroscience:
    Nature Reviews Neuroscience and Nature Neuroscience:
    - Deep learning in alternate reality
    - Neurons as will and representation
    Elife - open science journal:
    - Charting brain growth and aging at high spatial precision
    Frontiers in neuroscience:
    - End-to-End Deep Image Reconstruction From Human Brain Activity
    🎵 Music: Epidemic Sound - share.epidemicsound.com/ndkqqq
    🐦 Twitter: / cfraza

Комментарии • 486

  • @nunezkant
    @nunezkant 2 года назад +602

    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.

    • @mrblackmamba117
      @mrblackmamba117 2 года назад +1

      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?

    • @dvdharkin
      @dvdharkin 2 года назад +4

      Stop spamming

    • @nunezkant
      @nunezkant 2 года назад

      @@dvdharkin huh?

    • @filipedecastro4718
      @filipedecastro4718 2 года назад

      That's true

    • @jakki7181
      @jakki7181 2 года назад +3

      I dont believe you

  • @mathusalen1
    @mathusalen1 2 года назад +278

    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

  • @ASOBrasil
    @ASOBrasil 2 года назад +5

    First time on this channel and this is the kind of content we need to see spreading in RUclips and other social media plattforms. Please, keep doing this great work and thanks for spend time moving this channel forward!

  • @milrione8425
    @milrione8425 2 года назад +1

    I recognized so many of these recommendations! I totally agree with you on all of them :) Thank you so much!

  • @bursucantonia-luciana9380
    @bursucantonia-luciana9380 2 года назад +1

    Just found your channel and I like the quality of your videos. Hope to see more from you!

  • @andrewself7752
    @andrewself7752 2 года назад +4

    This is a great video. It randomly popped up on my recommended page and it is put together really well and very informative!

  • @prithvishah2618
    @prithvishah2618 2 года назад +1

    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.

  • @C-S-D.
    @C-S-D. 2 года назад +1

    This channel is amazing!! Please keep up with the good work! Thank you for introducing me to such an amazing topic!

  • @The_goddess_of_light
    @The_goddess_of_light 2 года назад +11

    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

  • @segundolima7363
    @segundolima7363 2 года назад +4

    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!

  • @todayisokay4075
    @todayisokay4075 2 года назад +7

    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

  • @daravaf3
    @daravaf3 2 года назад +26

    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 🇲🇽

  • @prashantdwivedi6966
    @prashantdwivedi6966 Год назад

    *You are great creator, keep bringing the academic insides and spreading the information so that one can prepare himself before joining a phd program*

  • @konradd8545
    @konradd8545 Год назад +2

    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!

  • @thomask8225
    @thomask8225 2 года назад +13

    Fills a gap here at youtube. Thanks so much for putting the effort for producing this video. Hope seeing your channel grow. Best regards :-)

  • @RohitPant04
    @RohitPant04 2 года назад +2

    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.

  • @tsuyogbasnet5292
    @tsuyogbasnet5292 2 года назад +7

    Hi Charlotte, A Huge thank you for your work on RUclips. 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 , ❤

  • @AliceSun
    @AliceSun 2 года назад

    Omg YESSSSS thank you! I’ve been just starting to get into it bc I’ve been loving learning about predictive modeling

  • @manas_singh
    @manas_singh 2 года назад +5

    I am surprised, why does this channel has so less subscribers, it should have a million. Great video!

  • @LookingGlassUniverse
    @LookingGlassUniverse 2 года назад +29

    This is so helpful! Thank you so much for making this!

  • @chenyangfan1444
    @chenyangfan1444 2 года назад +1

    OMG, I have read your papers on normative modelling before, thank you for sharing the experience!

  • @hamidturkistani734
    @hamidturkistani734 2 года назад

    Thank god, someone finally made a video about it. May your efforts get rewarded

  • @sidenote1459
    @sidenote1459 Год назад

    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.

  • @samsung6980
    @samsung6980 2 года назад

    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.

  • @alexandre.hsdias
    @alexandre.hsdias 2 года назад +127

    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.

    • @jonathanjabes1477
      @jonathanjabes1477 2 года назад +2

      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.

    • @akisi1401
      @akisi1401 2 года назад +1

      Bro how you become data scientist. Please tell. Please please

    • @devinanair5549
      @devinanair5549 2 года назад +1

      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

    • @devinanair5549
      @devinanair5549 2 года назад

      @@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

    • @ginnydang
      @ginnydang Год назад

      @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.

  • @cessromer7078
    @cessromer7078 2 года назад +7

    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.

  • @rameezusmani1294
    @rameezusmani1294 2 года назад

    Bishop was the second book i bought when studying Machine Learning on my own....what an awesome book....👍

  • @dontaruffin659
    @dontaruffin659 2 года назад

    My new favorite RUclips channel❤🙏🏾 thanks for sharing!!!

  • @andreabilio3742
    @andreabilio3742 2 года назад +1

    Great video quality: conciseness, topics approached, list of references. Beatiful!

  • @puzu9202
    @puzu9202 2 года назад +1

    Hey, thanks a lot! You gave a good overview, now it doesnt look so impossible anymore :D

  • @zackhades641
    @zackhades641 Год назад

    Love this video! Thanks for pointing out specific starting points and tips! :)

  • @hrachbarseghyan3862
    @hrachbarseghyan3862 2 года назад +1

    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

  • @qariel8103
    @qariel8103 Год назад

    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.

  • @JasonCummer
    @JasonCummer 2 года назад

    Trying to get back into this after a few years. 4 minutes in and this seems like a promising video.

  • @Arcturus.93
    @Arcturus.93 2 года назад +1

    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.

  • @ampersandampersand7240
    @ampersandampersand7240 2 года назад +2

    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.

  • @dred05m61
    @dred05m61 2 года назад

    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.

  • @ryanthegooch5952
    @ryanthegooch5952 2 года назад +1

    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

  • @hawe99
    @hawe99 2 года назад +1

    So glad you take neuroscience as your channel topic! Nice video!

  • @SK-om6tt
    @SK-om6tt 2 года назад

    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.

  • @stevensteven4863
    @stevensteven4863 2 года назад +6

    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

  • @nermeenabdelmoez6347
    @nermeenabdelmoez6347 2 года назад

    I am very grateful that I have found your video. Very helpful!

  • @bryancardenas364
    @bryancardenas364 Год назад +1

    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.

  • @shahing.lashkari5718
    @shahing.lashkari5718 2 года назад +4

    Great video! I wish someone would have told these at the beginning of my PhD

  • @mariakatrinacamilleolivar3088
    @mariakatrinacamilleolivar3088 2 года назад +1

    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.

  • @Xx_Eric_was_Here_xX
    @Xx_Eric_was_Here_xX 2 года назад +2

    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

  • @isaquelucas8791
    @isaquelucas8791 2 года назад +4

    Cool content! I'm more interested on a academic career rather than becoming another entrepreneur, and it's good to see so many options to pursue in my field 😁.

  • @user-mo7ww1gq6n
    @user-mo7ww1gq6n 2 года назад

    videos like these are the most useful kind on youtube, probably. I promise I'll look into it when I finish university prep...

  • @ora.artwork
    @ora.artwork 2 года назад

    It's great and helpful. Thank you very much. I love your content and your voice

  • @Iamblindanddeaf23
    @Iamblindanddeaf23 2 года назад

    Lovely lovely video, i think anyone can enjoy it and look up for more about all you explained, thx !

  • @idktl
    @idktl 2 года назад +1

    I really appreciate it... CNS is very vast area and I didn't know your tips.

  • @cyanidesky8170
    @cyanidesky8170 Год назад +3

    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.

  • @happyduck70
    @happyduck70 2 года назад

    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!

  • @joshuaolamiju
    @joshuaolamiju 2 года назад +2

    This video simplifies my confusion to workable levels. Thank you, Charlotte.

  • @shikeridoo
    @shikeridoo 2 года назад

    This is the kind of content I want to see youtube. More. Thanks Charlotte.

  • @raaspider
    @raaspider 2 года назад +1

    wonderful video I'm currently halfway into a masters in neuroscience and education and want transition into this!

  • @TheDemonThorn
    @TheDemonThorn 2 года назад +82

    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.

    • @devinanair5549
      @devinanair5549 2 года назад +2

      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 :)

  • @robertlee5151
    @robertlee5151 2 года назад +2

    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.

  • @lachlangray8120
    @lachlangray8120 2 года назад +3

    McKay’s book is fantastic if you have a physics background, or if you prefer physical/intuitive explanations alongside mathematical ones.

  • @ruveydazehra5173
    @ruveydazehra5173 2 года назад

    I checked your all videos and I love it! More video, please :))

  • @athmaid
    @athmaid 2 года назад +8

    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!

  • @lacesea
    @lacesea 2 года назад

    Love this video. Thank you for it!

  • @bogusmcbogus2637
    @bogusmcbogus2637 2 года назад +3

    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 RUclips. Computational neuroscience is definitely an interest of mine. We shall see what kind of doors open once I complete this Data Science MS.

  • @pixoncillo1
    @pixoncillo1 Год назад +4

    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.

  • @Akashkumar-ev8mj
    @Akashkumar-ev8mj 2 года назад +3

    I am a librarian
    And i found it very useful for my user community 💞💞💞💞
    Thankyou so much

  • @anthonyhernandez3546
    @anthonyhernandez3546 Год назад

    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.

  • @alimohammadnezhad3597
    @alimohammadnezhad3597 2 года назад +1

    I'm in this Field....your video is very informative for everyone wanting to enter this field...good job

  • @FlowerPowered420
    @FlowerPowered420 10 месяцев назад

    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!

  • @GeorgeDole
    @GeorgeDole Год назад

    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

  • @seomji5252
    @seomji5252 2 года назад +9

    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.☺️

  • @mshark2205
    @mshark2205 2 года назад +1

    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.

  • @delgodzilla1977
    @delgodzilla1977 2 года назад

    Yeesssss! This is exactly what I've been looking for!

  • @ceciliasanchez9500
    @ceciliasanchez9500 Год назад

    I got in RUclips waiting for knowledge to follow my path in Neuroscience. Thank you!

  • @camilalissetsaenzvelasquez3981

    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

  • @danielli3288
    @danielli3288 2 года назад +54

    as a self-taught dev, i wanna see more self-study resources on sciences particularly neuroscience. there's already so much content for programming

  • @mindcache5650
    @mindcache5650 Год назад

    A clever ,polite, amenable woman that gives value. Useful video.

  • @haoli5986
    @haoli5986 2 года назад

    Great video! Thank you for making it

  • @BlackHermit
    @BlackHermit 2 года назад +5

    Computational Neuroscience sounds so cool! I was never really into it, but I think now could be a good time to start!

  • @FernandoSilva-wt1ik
    @FernandoSilva-wt1ik 2 года назад +2

    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.

  • @brunooyague1874
    @brunooyague1874 2 года назад +2

    Amazing video, would be cool if you could eventually create content in those specific areas!

  • @prakamyakhare7505
    @prakamyakhare7505 2 года назад

    Thank you so much i really appreciate this :').

  • @viniciuslages7490
    @viniciuslages7490 2 года назад

    Thanks for giving such great insights and tips

  • @noahaliya8193
    @noahaliya8193 Год назад

    i really admire ppl you who are so intelligent and are good at science. i wish i was just as smart as you 😊

  • @walterwhite0107
    @walterwhite0107 2 года назад +1

    Thanku so much, this is very helpful

  • @nosratullahmohammadi1098
    @nosratullahmohammadi1098 2 года назад +20

    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.

    • @CharlotteFraza
      @CharlotteFraza  2 года назад +4

      Yes good call, I even have the Dynamical systems book lying around somewhere!

    • @aristurtle7498
      @aristurtle7498 2 года назад +1

      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.

    • @l1mbo69
      @l1mbo69 2 года назад +1

      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

    • @bogusmcbogus2637
      @bogusmcbogus2637 2 года назад

      The Izhikevich book definitely assumes a knowledge of differential equations.

  • @sarvinasalohidinova4881
    @sarvinasalohidinova4881 2 года назад

    Thanks for this great and useful content. It really encourages.

  • @invaderzim4900
    @invaderzim4900 2 года назад

    Intelligence and beauty in a explain about computacional neurocience. Thanks!¡!

  • @davidlakhter
    @davidlakhter Год назад

    great point about getting into reading papers

  • @LuisCarlosManrique314
    @LuisCarlosManrique314 2 года назад

    Yes, pattern recognition and machine learning is a classic. I needed to proof each of the equations there hehe

  • @thonylins
    @thonylins Год назад

    Excellent! Thank you for this video

  • @Ternuj
    @Ternuj 2 года назад

    Maybe RUclips 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!

  • @sarahahamed970
    @sarahahamed970 2 года назад +84

    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 🇮🇳❤️

    • @andreaalminana1794
      @andreaalminana1794 2 года назад +1

      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 :)

    • @mango-strawberry
      @mango-strawberry 2 года назад +1

      @@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!

    • @sarahahamed970
      @sarahahamed970 2 года назад +1

      @@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.

    • @amolkhobaragade
      @amolkhobaragade 2 года назад

      @@sarahahamed970 Which college did you go to study all youe degree and post graduate courses in neuroscience?

    • @beetlejuiccee2109
      @beetlejuiccee2109 2 года назад

      @@sarahahamed970 hi, do you mind telling about yearly package for a neuroscientist where you live?

  • @kathrinm2420
    @kathrinm2420 2 года назад

    Wow, thanks a lot for this super helpful video!!!

  • @yqisq6966
    @yqisq6966 2 года назад

    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).

  • @gxh9061
    @gxh9061 2 года назад

    Loved it, thanks!

  • @souravnatta2751
    @souravnatta2751 2 года назад

    Hey Charlotte Fraza , I really like to watch your videos. Your videos gives me lots of knowledge about neuroscience 😄🧠

  • @jchittoor
    @jchittoor Год назад

    Excellent resource banking and guide!thank you so much for a fab video

  • @AliDicaprio
    @AliDicaprio 2 года назад +33

    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 😂❤️

  • @protagonistscience1392
    @protagonistscience1392 2 года назад

    Good tipps I think, I can second all of them. I had the pattern recognition book on my desk for a long time but never read it through :( ... anyways, great job with the video and pointers!

  • @rxmth4840
    @rxmth4840 2 года назад +1

    Ever since I watched a video about learning electronics on your own, RUclips 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 😄

    • @DrunkenUFOPilot
      @DrunkenUFOPilot 2 года назад +1

      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!