Best products from r/neuroscience

We found 58 comments on r/neuroscience discussing the most recommended products. We ran sentiment analysis on each of these comments to determine how redditors feel about different products. We found 141 products and ranked them based on the amount of positive reactions they received. Here are the top 20.

Top comments mentioning products on r/neuroscience:

u/BobApposite · 1 pointr/neuroscience

"forces their brain its full ‘power’ or DMN turned off, in this state they won’t believe they’re hungry as they will return to basic instincts and finish eating, which would allow the plant itself to continue to flourish"

​

Basically what you're describing is an evolved plant defense mechanism, that protects plants by gaming the chemistry of the human mind.

Psychedelics have certainly had some association with creativity and art, and whatnot, but I don't think they're the "key to our evolution". That sounds like "wishful thinking".

I think you may be seeing what you want to see, there. Is it a mutually beneficial adaption where plants are raising your consciousness of "reality", or are they just lowering your consciousness of your body? It looks like 6 of one, half dozen of the other, to me.

That said, I could be wrong. There are certainly some intelligent people who did argue that psychedelics were a means of evolving the brain - like Timothy Leary & Robert Anton Wilson.

If you're interested in these kinds of speculations, and enjoy humor with your philosophy - Timothy Leary had something called the "Eight Circuit Model of Consciousness" that's interesting and/or entertaining, which is almost as good.

https://en.wikipedia.org/wiki/Eight-circuit_model_of_consciousness

It's simultaneously nutty pseudoscience and absolute genius...it's guaranteed to force your mind outside the box that you normally look at things through, and possibly even blow up the box.

I also highly recommend Timothy Leary's book, "The Game of Life". The cover doesn't really do it justice. It's nonstop "mad" genius inside, but recommended only to those that would enjoy highly subversive humor.

https://www.amazon.com/Game-Life-Classic-Reprint/dp/1333317913

u/kevroy314 · 2 pointsr/neuroscience

I didn't find Theoretical Neuroscience particularly readable as others in the thread have said, but it is the go-to book for the classic topics in the field. I found Fundamentals of Computational Neuroscience to be a much much better book for introductions. From Computer to Brain : Foundations of Computational Neuroscience was fairly approachable. On the more cognitive side, From Neuron to Cognition via Computational Neuroscience was pretty good. If you like the nonlinear systems side, Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting was pretty tough to read but full of good content.

It really depends on what subsets of comp neuro you're most interested in. I worked mostly on the cognitive side, and I was never super satisfied with any books on comp neuro in that area. I think the field is just too young for a great summary to exist beyond the neuronal/small network level.

There is a ton of interesting mathematics that goes into other areas of neuro that wouldn't typically be included in Computational Neuroscience. Different imaging methods, for instance, have some pretty fun math involved and are very active areas of research.

u/Stereoisomer · 1 pointr/neuroscience

I was in the exact same position as you Junior year and I went on to a small liberal arts college that didn't offer an undergraduate degree in neuroscience but did have some classes in the field. I also plan on working for a few years after graduation to get more experience in the field since my university did not offer it. Neuroscience is a relatively new field and hasn't grown enough yet to become its own department at most universities but rather, as was the case at my university, an interdisciplinary focus. If you are certain that you want to do neuroscience (which admittedy is a lot to ask since you haven't come up against classes like Organic Chemistry) than you should maximize your exposure to the field despite the fact that your future university may have a neuroscience program that is anywhere between its own department and non-existent.

For me this meant taking both dedicated neuroscience classes at my college but also doing research with the only professor doing neuroscience research for two years. I also do a lot of learning on my own working through neuroscience texts; a good book that comes to mind is Principles of Neural Science. I echo the opinion of /u/radicalpi in that the program varies widely between universities in terms of what classes it requires: some will have a greater focus on psychology (Cognitive Psych) while others will focus more on the biology and chemistry. I also agree with his/her opinion that you might be better served majoring in biology or chemistry if that component of neuroscience interests you more. I majored in Biochemistry and Math and had my university offered something along the lines of a Cognitive Sci major, I would not have majored in it since I am more interested in the "bottom-up" perspective. One last comment: if math or physics at all interest you, I would suggest looking into mathematical neuroscience or related subfields. In the neuroscience program at my school, most of the students that took neuroscience courses with me were psych majors and I think this is true of many universities. The problem with this is that to understand developing concepts such as neuronal dynamics and to understand technical advances in the field Hodgkin-Huxley/Fitzhugh-Nagumo, fMRI, and optogenetics requires a good grasp and comfortability with math and physics that is inaccessible to a lot of people in the field. This can only serve to help you break into neuroscience in the future.

u/AnJu91 · 2 pointsr/neuroscience

I second this comment; Hobson is one of the biggest names in the field of dream research and has released a lot of plausible hypotheses and working models. I don't have much time atm (gotta go to the library and study some more Cognitive Neurosciences coincidentally...), but here's a comment of mine regarding dream sleep on an older question.
Take what I wrote not too precisely, I was and am still young in this field (for example I misinterpreted the article slightly. REM activity is essential and characteristic for dreaming but the article doesn't exclude the importance of other possible activity regarding dreaming). Just take the general gist and check out the articles and the ones they cite in it.

To answer your question more specifically, I highly recommend getting familiar with Cognitive Neurosciences in general.

A first step would be a good textbook. The following is very up to date, easy to read, and well illustrated:

  • Cognitive Neuroscience: The Biology of the Mind (Fourth Edition) - Gazzaniga, Ivry, Mangun (2014)

    For online self study including lectures and exercises I highly recommend a good MOOC like this Edx course from Harvard.

    If dreaming is your interest, some things to focus on is consciousness, memory, relation between function/anatomy, neuroimaging techniques, and general sleep physiology.

    In general, neuroscience requires (or at least highly benefits) understanding the brain as a (biological) computational system. It's not to be understood as simply as a single organ. It is a highly complex system capable of an extremely broad range of functions. Dreaming is just one of the many (but very important) functions it can do.

    If I find some time I'll try to add some more information. I'm no expert on Cognitive Neurosciences but if you have any questions feel free to ask! Also don't hesitate to ask around on /r/askscience, or check out threads regarding neurosciences. There are some really smart people roaming around those threads.
u/whostherat · 5 pointsr/neuroscience

I am super interested with no background too! I read Neuroscience For Dummies on my kindle. The format was a little wonky, so I recommend getting the paperback. It was interesting and a semi-easy read. I went to Star Talk with Neil deGrasse Tyson and the topic was The Science of the Mind. It was great! I chatted with Cara Santa Maria and asked about her recommendations for interesting neuroscience books. She said I'd love The Man Who Mistook His Wife For A Hat. I've been meaning to read it! Also, checkout Amazon's best sellers in Neuroscience. Read reviews and see if they fit your interest. Let me know if you find anything interesting.

u/Laughing_Chipmunk · 2 pointsr/neuroscience

Currently reading a book titled Consciousness and the Brain: Deciphering How the Brain Codes Our Thoughts, I would highly recommend it if you're interested in the science of consciousness.

In terms of going back to uni to do an undergraduate in neuroscience, i don't think it's worth it. I'm about to start an honours in visual neuroscience, but before finding my project I was talking to a prof about honours projects and he said he had a computer science graduate doing a project with him on alzheimer's. A lot of neuroscience these days involves programming so you have a huge one up there (i'll be learning programming for my project). In terms of how to get into the field, you could probably go straight into post grad if you have good marks with your current undergrad degree. Honours or Masters degrees, or as ciaoshescu mentioned you may be able to do an internship, i'm not to sure how that would work though.

Good luck on your journey!

u/hairypotater · 3 pointsr/neuroscience

Going to jump in and take a stab at responding, if nobody minds...

Neuropsychology uses mathematics very rarely. Neuropsych is more about brain injury and rehabilitating the person around whatever neural issue they have. Neuropsychologists typically operate as part of a clinical treatment team, working alongside a neurologist, maybe a neurosurgeon if there was some intracranial or CNS trauma involved, and some sort of physical, behavioral, or cognitive therapist. In this team, neuropsychologists usually run the tests to diagnose disabilities or track symptoms over time. If you're interested in the neuroscience of psychology/cognition, you may be more interested in cognitive or behavioral neuroscience. These fields rely on mathematics but in a different way because the observations at that level are so hard to quantify. Mathematics in cognitive neuroscience (and even neuropsychology) is more about measurement theory: quantifying abstract or immeasurable phenomena and then attempting to explain how high-level function is tied to low-level events. Stuff that comes to mind includes the neurobiology of autism, visual attention, information processing in sensory networks, etc. This will lead into Bayesian decision theory, information theory, psychophysics, probability models, and from a very theoretical side, graph theory and looking at the mathematics of network topology and multi-sensory integration.

Mathematics is used in neurochemistry (or, more precisely, in fields like biochemistry, neuroendocrinology, neuropharmacology, biophysics, etc). In those fields, math is often used to describe the dynamics of whatever system you are studying, whether it's some kinetic process like diffusion or changes in protein conformation or receptor/chemical binding dynamics or even chemical metabolism. For this, you'll really want to know your differential equations and dynamical systems. The Dayan and Abbott textbook is great for this, but also look at http://www.amazon.com/Dynamical-Systems-Neuroscience-Excitability-Computational/dp/0262514206/ and even check out the journal Biological Cybernetics. Bertil Hille's book is also really good for things happening in and around the neuron.

u/Arms-Against-Atrophy · 4 pointsr/neuroscience

This is how I understand the two most popular out there:

Principles of Neural Science (4th edition) has been the gold standard of neuroscience textbooks. It's been called the "bible" of neuroscience and a great jumping off point for anyone who wants to get a very technical and medical perspective on the various functions of the brain. The fifth edition is set to come out this October so I don't know if you'd want to wait or jump into this one but from what I understand this is the number 1.
http://www.amazon.com/Principles-Neural-Science-Eric-Kandel/dp/0838577016

The other textbook that is popular, that I've read most of, is Neuroscience: Exploring the Brain (3rd edition). This textbook makes a lot of the topics that you'd like to learn about organized and easy to understand. While this book probably doesn't go into as much detail as Kandel's, it is a wonderful jumping off point to learn a lot of the basics about neuroscience and to get a solid understanding of a lot of mechanisms controlled by the brain. I highly suggest this one if you're new to neuroscience and not in medschool.

http://www.amazon.com/Neuroscience-Exploring-Mark-F-Bear/dp/0781760038

u/Mathopus · 2 pointsr/neuroscience

My focus is theoretical neuroscience, but even still the best resource I found was taking an actual class. I took Introductory to Neuroscience from UC Extension in California. Other then that I also followed the course material from: http://redwood.berkeley.edu/wiki/VS265:_Neural_Computation

I also have read:
Principles of Neural Science, Fifth Edition (Principles of Neural Science (Kandel)) Although, I think it would be dense to start with that.

I really like the book from my introductory course:
Neuroscience: Exploring the Brain, http://www.amazon.com/gp/product/0781760038/ref=wms_ohs_product?ie=UTF8&psc=1

The coursera course on Computational Neuroscience was interesting and if you are CS I highly suggest it as a way to get interested in the field.

Other then that I use Google scholar search to find papers about subjects I am interested in and read those. Currently doing a lot of reading in spare representation.

u/electrofizz · 2 pointsr/neuroscience

I entered Neuroscience not really knowing much about programming and now some 8+ odd years later I have two companies willing to pay me six figures for software I've written (mostly est. off royalties but 5 figs. up front). So I've gone through pretty much every stage of expertise there is. For most people, Matlab is sufficient and this book exists which I haven't personally used but looks great. Python may or may not be a great investment. Matlab dominates systems neuroscience so if you go into a 'Matlab lab' that's all you'll use and while it will be nice to have some Python expertise you won't actually use it. On the other hand, there is a movement to use non-Matlab software (more so in Europe) and the stuff in Python is really good. There is a big Python community and a lot of people just like it (and have come to dislike Matlab).


But want to get serious? Learn C and C++. There is simply no substitute for these if you want to write fast, standalone applications. In addition there's enough code, usually in critical applications tied to hardware, written in either of these that it is very good to know in case you have to go in and look/fix. So for the second reason my recommendation would be to learn C.

u/technically_art · 1 pointr/neuroscience

I'll try to address your questions first and give general advice at the end.

> many of these expressions have a summation of delta functions over index k. One major problem I have is that I do not know how far back my window should go when considering previous spikes. Should it just be my time increment dt=0.1ms? Or more?

This is often up to the modeler, but Dayan & Abbott's textbook has a section comparing the pros and cons of computing for single spikes vs. sliding windows vs. full history. One reasonable first approach would be to find out how long it takes for a single spike event to decay to the point of being neglible (say, 1/100th of total depolarization) and use that as your window size.

>Another issue I'm having is that I'm confused by what they mean by w+ and w- when talking about Hebbian learning. Are these fixed values?

I think w^+ is the upper bound on weights, w^- is the lower bound. They're using a non-normalized scheme where w^+ or w^- is compared against 1 to determine synapse strength - w < 1 means depression, w > 1 means potentiation.

> Also, why does the expression for I_GABA not have any dependence on w_j? Shouldn't there be some reliance on synaptic connectivity between presynaptic and postsynaptic neurons?

I'm not sure how the weights are being folded into the input current equations, but it's possible that I_GABA isn't affected by synaptic strength - they could compute each input current individually and scale them based on weights, for example.

---------------------


This definitely isn't a beginner-friendly model or paper. Are you recreating as part of a class project, or for a lab? Don't be shy to ask colleagues for help, or even your PI (just make sure you know exactly what you're going to ask and why.) If there isn't a harsh time constraint, I'd recommend checking out a textbook or some other modeling papers from the same lab, and/or citations from this paper.

One thing that experimentalists often have trouble with when trying to reproduce a model is that modelling is not an exact science. You're allowed to mess around with equations, parameters, thresholds and windows to make it work. For every clean equation in the paper, there are 3 or 4 very ugly equations or hacks making the graphs look pretty...it's not ideal, but that's the way the field is and has been for a long time. The point being - keep trying different things until it works. If you're close to the original model, great. If not, find out what new feature in your model makes it work, and see if you can find where the original model addressed that problem.

Good luck!

u/DNAhelicase · 6 pointsr/neuroscience

This book is explicitly named as the book I am required to know, cover-to-cover, including all appendices for my candidacy exam. I have been going through it and it gives quite a broad overview of the field, but also has a lot of detail needed for a good overall knowledge of neuroscience. This book, in addition to your specific readings for your area of neuroscience, should give you all you need to do well in your program and your candidacy exam.

I am also doing my PhD in neuroscience, focusing on Prions and neurodegenerative diseases.

If you have any other questions, feel free to PM me and i'll do my best to answer them!

u/chelsdoesthescience · 1 pointr/neuroscience

I’m minoring in neuroscience but my major is biochemistry. If you’re like me and are interested in more of the cellular/molecular aspect, the textbook we use is brilliant! I’ve never seen such complex topics discussed in a more accessible way. And the images are dope. Highly recommend this textbook.

Neuroscience: Exploring the Brain Fourth, North Americ Edition by Bear PhD, Mark F., Connors PhD, Barry W., Paradiso PhD, Mich (2015) Hardcover https://www.amazon.com/dp/0781778174/ref=cm_sw_r_cp_api_i_DLbLDbZZR5MFN

u/RARemunin · 4 pointsr/neuroscience

It seems like there are lots of well written books lately exploring popular neuroscience topics from different angles. I might recommend Behave, which has some nice primers in the appendices. And Sapolsky is just a great communicator.

u/TheKnightsGambit · 2 pointsr/neuroscience

https://www.amazon.com/gp/aw/d/0838577016/ref=mp_s_a_1_2?ie=UTF8&qid=1517968463&sr=8-2&pi=AC_SX236_SY340_FMwebp_QL65&keywords=principles+of+neural+science&dpPl=1&dpID=51aom9pcslL&ref=plSrch

Principles of Neural Science by Kandrl et al.

As someone who studies neuro and works in neuro I can safely say this tome is my bible. It is huge, 37 bucks new because it is an old edition, one of the few textbooks I'd call well written, and has huge listings of primary lit to read for each chapter. It's not primarily for entertainment like most of the books I've seen put here. Man, it is worth its substantial weight in gold. If you actually want to learn, and a diverse amount in the field, get this. If you ever get stuck on points the internet is a truly amazing resource. However, this book is so well written I doubt that will happen often.

u/velociraptor__ · 2 pointsr/neuroscience

This https://www.amazon.co.uk/We-Are-Our-Brains-Alzheimers/dp/0141978236/ref=sr_1_1/259-8382833-1502636?s=books&ie=UTF8&qid=1550582966&sr=1-1&refinements=p_27%3ADick+Swaab book is very easy to read but does a tremendous job in explaining neuroscience to people who don't know anything about it, but also to people who do actually know something about it. I loved reading it almost as much as I loved reading Sacks' books.

u/joop_niknil · 1 pointr/neuroscience

When i was an undergrad, i really enjoyed learning the fundamentals from this book: http://www.amazon.com/Cognitive-Neuroscience-Biology-Mind-4th/dp/0393913481
It reads really well, has beautiful images and gives a Sound basis for further reading for people with no or not much knowledge in the field.
Good luck!

u/[deleted] · 2 pointsr/neuroscience

Neuroscience is increasingly computational, both in the sense of studying the brain as a computer and in the sense of using a computer to study the brain. Learn to use Matlab - I would recommend either MATLAB for Neuroscientists or MATLAB for Psychologists depending on your ability and interests. Knowing programming and learning techniques early on is incredibly valuable. Volunteer in labs and learn these things, get excellent marks and get stellar recommendations. If you do this you should be fine.

EDIT: MATLAB for Neuroscientists is a bit more technical in nature and will require some exposure to calculus and linear algebra. The more complex bits will also likely require some familiarity with differential equations.

u/neurone214 · 7 pointsr/neuroscience

This is highly dependent on the area of neuro you're in. It might not vary much from the typical cell/molec biology lab, might involve skills heavy in engineering, animal handling skills, programming skills, etc. Even across labs within an area there will variation in the "set" of core techniques (and thus skills) required.

For a general introduction to working in a lab, you should check out "at the bench". This will skew towards general biology lab skills, but is a great start. It also gives very important tips on peacefully co-existing with your lab mates: https://www.amazon.com/At-Bench-Laboratory-Navigator-Updated/dp/0879697083

u/pratchett2 · 1 pointr/neuroscience

First, on your broader point, you may want to look for programs that stress first-year rotations. I had a BME background, and now do neuroscience related research for my PhD, and joining a department that didn't force me to immediately join a lab was key. I second neuro_exo, it's hard to imagine a top university that won't have multiple people studying the areas you're interested in.

On your more specific question, what sort of math you should review depends on the sort of neuroscience you're talking about.

If you're referring to theoretical neuroscience/modeling, Dayan and Abbott is a standard reference. It includes the broader neuroscientific context as well as the math, so it's quite rewarding to read.

If you're talking about motor neuroscience/learning, a lot of the ideas derive from linear algebra and controls. Watch a few machine learning lectures, review those topics and you should be set.

A lot of the new ideas/excitement has recently focused on techniques to handle high dimensional datasets (see some of the discussion behind the BRAIN initiative). This gets into some rather complex math pretty quickly, so there's not too much I'd directly recommend, except that you check out recent papers in the field to see what you'd need (there's typically a lot of dynamical systems work here).

Most of the rest of neuroscience does use a fair amount of math, but they what it uses tends to be very vague/operational. You'll do a lot of signal processing, a lot of digital filtering/averaging, and noise reduction will be a major focus. Review your EE class notes to get set for this.

Edit: This was coincident with neuro-exo's response. I agree with everything he/she said.

u/haffi112 · 3 pointsr/neuroscience

Scholarpedia is probably a good starting point for you if you are looking for a website which provides a fair amount of detail. It is like Wikipedia but it is edited by neuroscientists (Wikipedia is also often a good starting point if you want to understand some topic better).

If you want a must-read you need to narrow your focus more. Are you looking for something on medical neuroscience, cognitive psychology, biochemistry, computational neuroscience...? Are you looking for something for a layman or something more technical? Given that you are a high school student you will probably want to start with something layman-ish which doesn't make you frustrated with not knowing the technical details.

Books are often of higher quality than websites because they are edited and you can often find user ratings on them (see for example this book).

u/RGCs_are_belong_tome · 6 pointsr/neuroscience

The top comment is right that the Kandel is a great neuroscience text. I have it myself and it's my go-to. If you're starting out from the bottom and learning on your own I would suggest a more user-friendly text.

Neuroscience: Exploring the Brain is good. I have the 3rd edition, which has probably been updated by now. Looks like the price is very manageable, too.

u/MinoritySuspect · 3 pointsr/neuroscience

Kandel is a very comprehensive neuroscience textbook with a lot of good figures as well as descriptions of experimental evidence. The most recent version came out just last year, so it is very current.

Purves also contains excellent figures but concepts are delivered on a more basic level, probably better suited for undergraduate/non-research perspective.

u/Matrix_Ender · 1 pointr/neuroscience

The textbook Neuroscience: Exploring the Brain by Mark Bear could be a great start: https://www.amazon.com/Neuroscience-Exploring-Mark-F-Bear/dp/0781760038. Some books for the general public such as David Eagleman's The Brain or Rita Carter's Mapping the Brain are good too (although they might be too easy for you given that you are a med student).

As for brain mapping, not sure if you are talking about connectome or the Blue Brain Project?

u/CuriousIndividual0 · 1 pointr/neuroscience

Kandel's Principles of Neural Science is good. Pdf available online. Concussion falls under traumatic brain injury. I have a friend who did her honours in this field. Worked under a prof named Ramesh Rajan at Monash university, you might want to check him out. Awesome guy. Just as a heads up, you will most likely be working with rodent models in TBI.

u/mcrpworks · 2 pointsr/neuroscience

This stuff is mentioned in the book Behave: The Biology of Humans at our Best and Worst by Robert M. Sapolsky. I'd recommend reading it. Not advertising it either, I'm aware Reddit has advertisers for stuff.


I'll link the book in case you may want to give it a look at, what he covers is great, along with environmental disadvantages/advantages to brain development:


Behave: The Biology of Humans at Our Best and Worst https://www.amazon.com/dp/1594205078/ref=cm_sw_r_cp_apa_i_Nq9uDbKBD0Z4R

u/obj_self · 1 pointr/neuroscience

They're pricey, but these two have caught my attention on several occasions:
https://www.universalmedicalinc.com/deluxe-brain-model.html
https://www.universalmedicalinc.com/brain-model-two-part.html


If you're looking for something inexpensive, at the very least, avoid this one:
https://www.amazon.com/Budget-Brain-With-Arteries-Model/dp/B001W1EYQW/ref=sr_1_9?ie=UTF8&qid=1541577981&sr=8-9&keywords=brain+model
It's in no way anatomically correct and very poorly crafted.


I hope I've been in some regard helpful.

u/DonPromillo90 · 1 pointr/neuroscience

What kind of paper? Don't you have access to most of the journals through your university?
I can browse many journals at home with VPN-Access, provided by my university.
For books, try these:
http://www.amazon.com/Principles-Neural-Science-Fifth-Kandel/dp/0071390111/ref=sr_1_1?ie=UTF8&qid=1452278840&sr=8-1&keywords=principles+of+neural+science
OR (less detailed)
http://www.amazon.com/Neuroscience-Exploring-Mark-F-Bear/dp/0781778174/ref=sr_1_1?ie=UTF8&qid=1452278819&sr=8-1&keywords=neuroscience

I heard some rumours that at least the Kandel is available as a free PDF in the internet, just use google with the proper terms ;)

u/slthomp2 · 2 pointsr/neuroscience

This is a pretty good book, also written for undergrads with only a basic bio background.

u/Trigger_happy_neuron · 8 pointsr/neuroscience

Don't worry about being smart enough. Just work hard and study hard. If you're looking for a good book try Neuroscience: Exploring the Brain. If you find this to be too dificult then make sure to brush up on some general biology. If you're particularly ambitious then you can try Kandel's Principles of Neuroscience (This is a graduate level text, but it has a lot of information and covers a wide breadth of Neuroscience).

u/Dcab · 2 pointsr/neuroscience

Consciousness and the Brain: Deciphering How the Brain Codes Our Thoughts https://www.amazon.com/dp/0670025437/ref=cm_sw_r_awd_Q6Qzub003NK0X

Comprehensive, current, a generally pleasant read/listen.

u/samadam · 5 pointsr/neuroscience

This is the textbook you will likely read your first year, so you might as well look at it and see how it makes you feel: https://www.amazon.com/gp/product/0071390111/

It's somewhere online in nice PDF format too.

u/lucy-lou95 · 3 pointsr/neuroscience

At a first year student ‘Neuroscience- exploring the brain’ has been recommended if that helps

u/LaughingHeart42 · 4 pointsr/neuroscience

Neuroscience: Exploring the Brain was my go-to when learning neuroscience coming from an engineering and physics background. It's pretty accessible for people from many different backgrounds. For example, it covers the requisite biology and chemistry you'll need to understand the basics if you haven't had exposure to those fields yet.

u/inquilinekea · 3 pointsr/neuroscience

Theoretical neuroscience. Check out this textbook: http://www.amazon.com/Theoretical-Neuroscience-Computational-Mathematical-Modeling/dp/0262541858

You should also look into the Redwood Center for Theoretical Neuroscience (at Berkeley) and at http://www.cns.nyu.edu/wanglab/ if you have the chance.

u/TestPilotBeta · 7 pointsr/neuroscience

Robert Sapolsky's relatively recent book, "Behave".

It is phenomenal.