6 votes

How often are complex networks and graph theory useful in computational neuroscience?

In my opinion as a computational neuroscience researcher, graph theory has not made major inroads into computational neuroscience because we don't have good evidence for what graphs characterise ...
Dylan Richard Muir's user avatar
6 votes

Can humans be reduced to a function?

For a review of how this question is debated in Cognitive Science, search for Searle's Chinese Room Thought Experiment. In the Chinese Room Thought Experiment, Searle argues there is something ...
Seanny123's user avatar
  • 8,843
6 votes
Accepted

Can humans be reduced to a function?

I think the key concept to tackle this question is to consider the concept of abstraction. Abstract models are generalized models of some kind "reality" that we are interested in, with the aim to ...
Alex's user avatar
  • 348
5 votes

What are good introductory books on mathematical psychology?

I also like https://bayesmodels.com/. I posted the question on twitter, you could check out the responses. Joachim Vandekerckhove suggested: Lewandowsky, S., & Farrell, S. (2010). ...
Jeromy Anglim's user avatar
4 votes

Refinements of Rescorla-Wagner model of classical conditioning

I don't think anyone has ever bothered (though Ralph Miller might disagree), since many of the 'failures' are outside of the model's purview. The model expresses as simply as possible the profound ...
sometimes_sci's user avatar
3 votes

What are good introductory books on mathematical psychology?

I really like https://bayesmodels.com/ There's also a lot of fun you can have at http://probmods.org/ that feeds into a bunch of current cognitive modeling work, see also http://agentmodels.org/ You ...
steveLangsford's user avatar
3 votes

What are good introductory books on mathematical psychology?

I hold a Bachelor's in Applied Mathematics and, for my Master's in Neuroscience, I have used mainly the classic one from Kandel Principles of Neural Science. With regard to Mathematical Psychology I ...
Ailton Andrade de Oliveira's user avatar
3 votes

Can humans be reduced to a function?

The final two paragraphs of that piece address this exact question. Although understanding how neurons communicate with each other contributes to our understanding of behaviour at the level of ...
Reed Rawlings's user avatar
3 votes

Is there an R implementation of the linear ballistic accumulator model or Ratcliff's diffusion model for measuring response time and accuracy?

In the subheading you also mention that you're interested in matlab / python implementations: I've personally used DMAT in matlab at that's a nice package. However, the python based HDDM package may ...
B. Critt's user avatar
2 votes

Is there an R implementation of the linear ballistic accumulator model or Ratcliff's diffusion model for measuring response time and accuracy?

The R package rtdists is another great option: Provides response time distributions (density/PDF, distribution function/CDF, quantile function, and random ...
crsh's user avatar
  • 763
2 votes

Why do psychologists often not use mathematical models to express their theories?

Come read some cognition! It's a wide open field with angles on all kinds of psychology stuff, and we're having a great time throwing greek letters around like confetti. I think you might like it! One ...
steveLangsford's user avatar
1 vote

Rat between two walls viewed as a product in a category

According to the author, in this maze-category the objects are memories (or mental objects). The author references to chapter 3, when discussing the maze-category. Chapter 3 of the book, gives an ...
Nick Decroos's user avatar
1 vote

How does TD-learning explain trace conditioning?

See my comment above, but it is possible to assume that B acquires the same reward value as the original reward, so B can then be treated as a reward, which in turn brings A closer to the reward event ...
sometimes_sci's user avatar
1 vote

How often are complex networks and graph theory useful in computational neuroscience?

Graph theory and complex networks are central to many works involving fMRI (1, 2), whole brain models (3, 4), protein interaction graphs (5, 6), and some EEG studies of consciousness (7, 8, 9). The ...
lucianopaz's user avatar
1 vote

Why do we have so much neurological research on and treatment designed for dyslexia, yet less so for dyscalculia?

This website http://www.aboutdyscalculia.org/causes.html provides answers to some of the questions you posed, although I am not sure it is the most up to date information. I would always advise one to ...
J. Ferreira's user avatar
1 vote

What are some good references for preprocessing and analysis of the P300 response from EEG data in Python?

I don't exactly what it is you are after, but if you are looking for other analyzing techniques, you should try Independent Component Analysis (ICA). I have heard (but I do not have references) that ...
Robin Kramer-ten Have's user avatar
1 vote

Calculating d-prime

Even after reading other answers here, it took me a while to figure out how, so I leave my answer here. Calculation of d-prime is pretty straight forward: MATLAB: norminv ...
Kouichi C. Nakamura's user avatar

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