For questions about the mathematical approach to psychology concerned with analytic modeling of motor/perceptual/cognitive processes and quantifying stimulus and response.
15
votes
5answers
556 views
What are good examples of applying dynamical systems in cognitive science?
I'm a mathematics and physics student very much interested in cognitive science. Recently I've been hearing about "a new approach" in cognitive science via dynamical system theory.
What are some ...
12
votes
2answers
492 views
Applications of computational learning theory in the cognitive sciences
Computational learning theory (CoLT) is a branch of theoretical computer science associated with the mathematical analysis of machine learning. A lot of the early ideas of the field take inspiration ...
9
votes
0answers
141 views
Evolutionary game theory in the cognitive sciences
Game theory models something very relevant to psychologists (in particular social psychologists): conflict and cooperation between decision-makers. Unfortunately, classical game theory demands that ...
7
votes
2answers
230 views
Behaviorist interpretations of decision field theory
Decision field theory is usually presented as a dynamic cognitive model of decision making. However, in its basic form, the theory seems to only be concerned with behavior (decisions) and stimuli ...
8
votes
3answers
261 views
Introductory resources on bayesian modeling for cognitive sciences
On Cross Validated there is a great question about best introductory books for bayesian statistics. Also, Jeromy Anglim blogged recently about use of JAGS, rjags, and Bayesian Modelling, with some ...
10
votes
3answers
164 views
Is there a random walk theory that can account for situations with more than two choices?
In the article "Two-stage Dynamic Signal Detection: A Theory of Choice, Decision Time, and Confidence" from 2010 by Pleskac and Busemeyer, a random walk model is presented for situations where a ...
12
votes
2answers
231 views
Is there an R implementation of the linear ballistic accumulator model or Ratcliff's diffusion model for measuring response time and accuracy?
I am looking for an implementation of the linear ballistic accumulator model or Ratcliff's diffusion model (e.g. in R, MATLAB, or Python).
6
votes
0answers
152 views
Refinements of Rescorla-Wagner model of classical conditioning
The Rescorla-Wagner model is one of the most commonly discussed mathematical models of classical conditioning. It was wildly popular when it came out in 1972, and very successful. The same math, is ...