# Tagged Questions

For questions about the mathematical approach to psychology concerned with analytic modeling of motor/perceptual/cognitive processes and quantifying stimulus and response.

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

I know next to nothing about intervention methods designed for dyscalculia, or 'dyslexia with numbers', as I have heard it colloquially referred to (considering how obscure the term seems to be ...
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### 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 = \...
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### Mathematical models of learning [closed]

Looking for a list of the most common mathematical models of learning. In particular, I am interested in models that explain behavior such as "learning by doing" or "learning from others".
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### What are some good references for preprocessing and analysis of the P300 response from EEG data in Python?

I have just started to work on problems in neuroscience on my own. I sought to analyze the P300 response from EEG data because I was trying to understand a Kaggle.com challenge that used it. I found ...
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### Can humans be reduced to a function?

Based on an article by UK Essays, we are nothing more than robots that operate based on our past experience and other factors like amount of neurotransmitters, hormones, and other chemicals, trying to ...
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### 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 ...
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### How to create a non cogntive index

I am currently trying to make a non-cognitive index using questions/variables. However there are following problems; (a) The scales of the questions/variables vary, so I have a scale from 1 to 4 and ...
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### 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 ...
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### Where to publish a short (mathematical) neuroscience article?

I am writing an article about a computational method, which is relatively widely used in a small subfield of neuroscience (it is easy to identify ~20 recent articles that used it in 2013-2015). The ...
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I have the data for a monkey's eye position in a cartesian plane synced to the time. I can convert the numbers into polar form however I'm not too sure how to find the angular velocity at that point. ...
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### 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).
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### Is it necessary to read signals and systems before statistical signal processing/ detection theory [closed]

For one who is interested in computational neuroscience and brain computer interface, in university curriculum (e.g. BCCN Berlin), it requires a course in statistical signal processing / signal ...
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### The mind as a state of matter or physical system?

What examples of attempts to formalize a principled physical basis for consciousness and/or a general theory of the mind exist? I read a fascinating ArXiV preprint last year called Consciousness as a ...
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### What are the mathematical models of memory?

Are there mathematical models of memory in humans or animals? I want to know how neuroscientists use mathematics to describe memory in living creatures. How do neuroscientists model memory and show ...
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### Number of exercises and the learning of some subject?

For example, I show to my students that XY=Z, so I ask for them to do some exercises, so in the future, they will always know that XY=Z. Is there any known study relating the numbers of exercises ...
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### Calculating d-prime

I'm currently working on a research that has to use and calculate D Prime values for a task where subjects are presented an image at different speeds and they have to report if they saw the image or ...
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### 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 ...
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### Difference between Logan's Instance theory and Exemplar-Based Random Walk (EBRW) theory

I'm trying to find a clear explanation of the difference between Logan's instance theory (Logan, 2002) and the Exemplar-Based Random Walk theory (Nosofsky & Palmari, 1997). Am I mistaken that they ...
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### What kinds of math to learn for understanding dynamic systems in cognitive science? [closed]

A current trend in cognitive science is to view the mind as a dynamic system (e.g., Continuity of Mind by Spivey, in which cognition is understood as a "continuous and often recurrent trajectory ...
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### How has geometry been applied in cognitive science?

What areas of geometry are used in psychology/cognitive science/neuroscience? Are the applications of a sophisticated nature or superficial?
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### 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 ...
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### 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 ...
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### 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 ...
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### Book review for “Qualitative Mathematics for the Social Sciences” [closed]

Has anyone read/reviewed this book - Qualitative Mathematics for the Social Sciences? I have been trying to find a credible review on the reliability of the book.
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### What areas of mathematics support the study of cognitive science?

Which areas of mathematics can be formally studied in a cognitive science major? Or: which areas of mathematics can support the study of brain. Some areas that seem relevant would be: mathematical ...
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### How well can a human-generated “random number” be predicted?

For example, if i ask an individual to write a 20-number-long sequence of random numbers from 0 to 10. How well can I predict the 20th number from the initial 19? More generally, How well can ...
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### Math or Physics: Which is the more relevant background to enter Cognitive Sciences and Psychology? [closed]

What would be a more suitable background to enter cognitive sciences, mathematical psychology, and study of emotions? I have the option of taking a Integrated Masters Degree in Mathematical Sciences, ...
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### 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, learning-...
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### 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 ...
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### 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 ...
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### 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 ...
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### How do humans optimize noisy multi-variable functions in experimental settings?

Imagine an experiment like this: A participant is asked to optimize an unknown function (let's say minimize) . On each trial the participant provides several input values, and receives an output ...
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### Appropriate metric(s) for quantifying the accuracy gain obtained from averaging dyads of estimates instead of adopting individual estimates?

Background The question relates to research I am doing into the Wisdom of Crowds effect (Galton, 1907; Page, 2007; Surowiecki, 2004), in which an average of the estimates made by individuals proves ...
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### Performance of a group solving a cognitive task: How does it scale?

Some intellectual, cognitive and perceptual tasks can be solved collaboratively. It is common knowledge that group performance is better than that of each single individual due to exchange of ...
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### Perception of probability of being right

The probability that people percept may be different from the real one due to a number of factors, including the form in which their are presented, their context and biases (due to misinformation or ...