What should physicists know to excel in neuroscience?

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Discussion Overview

The discussion centers on what knowledge and skills physicists should acquire to excel in neuroscience, exploring various educational resources, methodologies, and interdisciplinary connections between physics and neuroscience.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant emphasizes the importance of coding and decoding neural signals, referencing a section in "Theoretical Neuroscience" from MIT Press.
  • Another participant shares a link to a Wikipedia page on neurophysics, suggesting it as a resource.
  • A participant with a background in physics transitioning to computational neuroscience highlights the significance of differential equations, calculus, and nonlinear dynamics, as well as the value of seminar-style classes and self-directed learning in understanding cognition.
  • One contributor recommends the classic text by Kandel and Schwartz as a foundational resource, noting that older editions are cost-effective alternatives.
  • A participant critiques the philosophical approach to cognitive science, advocating for Bayesian Probabilistic Modeling as a more effective method for understanding human behavior and cognition, emphasizing the need for strong mathematical skills.
  • Another participant reflects on the historical context of cognitive science as philosophy, suggesting that philosophical considerations still play a role in experimental design.
  • A later reply addresses concerns about tone in discussions, indicating a personal challenge in communication style.

Areas of Agreement / Disagreement

Participants express a range of views on the relevance of philosophy in neuroscience, with some advocating for a more computational and mathematical approach, while others see value in philosophical perspectives. The discussion remains unresolved regarding the best path for physicists entering neuroscience.

Contextual Notes

Participants mention various educational resources and approaches without consensus on a singular best method or framework for integrating physics into neuroscience.

paalfis
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I have been always passioned about human cognition. I would like to dedicate this post so that everyone can tell what they think a physicist should know (and if you can, a book or a course to recommend) to develop in neuroscience.
 
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Lets start with coding and decoding of neural signals, there is a section in Theoretical Neuroscience, MIT Press.
 
I have made the switch from a physics education (BS) to a computational neuroscience education (PhD). In my case, it played on my physics background (diff eq, calculus, nonlinear dynamics). Learning the electrophysiology and ion conductance models (such as Hodgkin-Huxley or Morris-Lecar) would be important for a modelling approach.

The thing that benefited me most, though, was attending seminar-style classes, where we read many review papers from the field of neuroscience and report on them in the class. I've taken three such classes (each with slightly different focuses). Everything about cognition I've learned, I've learned on my own time after taking a Learning and Cognition class from the psychology department.
 
Neuroscience is SUCH a huge field that can be considered on so many scales from molecular to systems.

I'd start with the classic Kandel and Schwartz text. It's a great foundation and then you can go where you want from there. Get a cheap old edition, they are almost as good for way less money. I refer to that book all the time... it's a treasure.

https://www.amazon.com/dp/0071390111/?tag=pfamazon01-20
 
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David Carroll, sorry if I am being rude, but 'Philosophy' of the mind sounds like an excuse for not being able to solve the (not at all abstract) problem of understanding how the mind actually works (cognitive science) and it's neural basis (neuroscience).
I find extremely interesting and straightforward the Bayesian Probabilistic Modeling approach for understanding and predicting human behavior, learning, and performing intellectual tasks.
A lot can come from addressing an issue of psychology from the 'computational' point of view, I mean, to consciously simplify the system and work out the mathematics underlying its operation; then making a model that explains the data, running the model in a simulator and test whether the model meets the data.
In order to do all this, one must have developed a strong logical, mathematical point of view; and must be able to (really) solve questions previously addressed only 'philosophically' by using analytical thinking.
Maybe this is the reason why the most important scientists in a lot of different branches of cognitive science and neuroscience are physicists.
 
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Aristotle and Plato would certainly describe cognitive science as "Philosophy" in the same way that physics was viewed as a branch of Natural Philosophy. Philosophy doesn't necessarily have to be performed from the armchair. But even deciding which experiments would yield relevant results is done in the armchair.
 
But, no, I don't think you were rude at all. In fact,, I hope I myself don't come off as rude. I'm an aspie, so saying things that don't sound rude is difficult for me.
 

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