7
votes
1answer
239 views

Which equation is Ebbinghaus's forgetting curve and what do the constants represent?

First off, I've come across two different forgetting curve equations. $$R = e^{-\large \frac{t}{s}}$$ where $R$ is retention, $t$ is time and $s$ is strength can be found on Wikipedia. And $$b = ...
6
votes
2answers
125 views

Does Andler's (2012) article on 'Mathematics in Cognitive Science' provide an accurate picture of mathematics in cognitive science?

Andler (2012) wrote: What role does mathematics play in cognitive science today, what role should mathematics play in cognitive science tomorrow? The cautious short answers are: to the factual ...
-1
votes
1answer
60 views

Build model to explain data [closed]

I'm not a psychology student, but I'm doing a subjective experiment which is similar to magnitude estimation: simply measure the effect of different stimulus through a number from 1-10. Now I need to ...
2
votes
1answer
73 views

What introductory material is available linking complexity theory to cognitive science?

Does complexity theory speak to cognitive science? If yes, where can I find some material to explore that is suitable for undergraduate level understanding? In particular, is there any audio contennt ...
3
votes
0answers
120 views

Test-retest reliability of Iowa gambling task performance and Expectancy Valence Model parameters

I've just been learning about the Expectancy Valence Model of the Iowa Gambling Task (see Busemeyer & Stout, 2002; Yechiam et al 2005). The model includes three parameters: motivation, ...
7
votes
2answers
254 views

Best practice to handle double negatives when using the expectancy-value model?

My question is regarding the multiplicative combination rule in the Expectancy-value model developed by Fishbein and Ajzen, and the issues regarding the expectancy value-muddle, or the case of "double ...
-3
votes
1answer
202 views

What kinds of maths to learn for understanding dynamical systems in cognitive science? [closed]

A current trend in cognitive science is to view the mind as a dynamical system (e.g., Continuity of Mind by Spivey, in which cognition is understood as a "continuous and often recurrent trajectory ...
13
votes
2answers
704 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
2answers
143 views

How to computationally model the Wisconsin Card Sorting task? [closed]

The Wisconsin Card Sorting task is rather famous but appears to be quite difficult to model computationally. To respond to @Artem's question, I work in RL and I am interested in how people learn the ...
7
votes
3answers
402 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
204 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 ...
24
votes
4answers
963 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 ...