For questions about models and theoretical idealizations of cognitive processes in humans or other animals. Examples include computational, mathematical, and conceptual models.

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1answer
209 views

How does the brain process concurrent visual or sensory data?

I tried thinking about an apple and simultaneously an orange. (I was thinking about its appearance and taste). Despite my best efforts I was not able to do parallel processing to think about the apple ...
3
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1answer
77 views

How can pain sensations appear to originate within the person's skull?

I've read that humans have some sort of a kinesthetic model of their body and muscles. This internal representation of the body is used to control and coordinate locomotion. I don't remember if ...
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1answer
219 views

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 ...
8
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1answer
392 views

Attention Theory: is it impossible to avoid distraction?

I remember reading at some point in the literature that humans are unable to avoid distraction from a certain primary task if this task isn't using up close to all available 'resources' - basically ...
9
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2answers
408 views

Origin of the SEEV Model of visual attention distribution

What's the original source of the SEEV (Salience Effort Expectancy Value) Model for predicting the distribution of visual attention? I've seen it mentioned in many papers and presentations but ...
13
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2answers
788 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).
7
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0answers
181 views

'Model-free' learning in humans

In reinforcement learning, there is a stark distinction between model-based and model-free learning algorithms, where model-free methods don't make use any explicit information about the dynamics of ...
10
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1answer
151 views

Computational Model Linking Neural Activity to Behavior

A big question in neuroscience is how neural activity represents knowledge. We can use modelling to explore how different levels of neural activity- subthreshold currents, action potentials, local ...
10
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1answer
261 views

Is the theory of Information Metabolism a reasonable scientific theory?

Background I have been checking out various personality typing assessments lately when I came across a Personality typing system known as Socionics which aims at explaining relationships between ...
7
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1answer
115 views

Judgments of similarity between samples of writing

I was thinking last night about the possibility of an experiment that investigates the factors contributing to peoples' judgments of 'stylistic similarity' between two samples of writing. For example, ...
5
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1answer
111 views

Need good example of two domains involving different procedural knowledge yet sharing same high-level strategies

Working in the domain of intelligent tutoring systems, I have to prove (or disprove) that explicit teaching of high-level strategies will allow students to use learned strategies across different ...
8
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1answer
112 views

Are there shapes defined by 3 (or more) generative parameters whose mapping to psychological similarity space is known?

I am trying to generate 4 shapes that are equidistant in psychological similarity space - meaning that they are all equally discriminable from one another - which differ in 3 parameters, such that ...
7
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1answer
164 views

What research has modelled the difficulty of mental mathematical calculation?

I posted this also on mathoverflow. What research has modelled the difficulty of evaluating a formula mentally (for your average, numerate, person, not a trained mental calculator)? For instance, ...
10
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2answers
236 views

How can the success of Bayesian models be reconciled with demonstrations of heuristic and biased reasoning?

In recent years, Bayesian models of cognition have been used - with considerable success - to explain human reasoning in a variety of inferential tasks (Chater, Tenenbaum, & Yuille, 2006). These ...
7
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2answers
148 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. I work in RL and I am interested in how people learn the optimal strategy. I'm interested ...
-4
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1answer
168 views

Using natural language processing for traffic monitoring from video

I am stuck trying to learn how to use video processing as explained in the linked papers in the area of human behavior detection or traffic surveillance (any kind of monitoring activity). In ...
18
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3answers
893 views

What are current neuronal explanations and models of 'consciousness'?

I would like to understand more about consciousness from a neuroscientific perspective. I have a limited understanding of it in the philosophical/psychological sense through lectures. Although it is ...
10
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5answers
317 views

Visual search: complexity of positive vs negative search tasks

Thinking about experiments where participants perform visual search tasks, I remember hearing in a Cog Psych lecture that if the instructions of the task were of the form "find the element that has ...
5
votes
1answer
116 views

Perceptual flicker when rotating my face

Informal Experiment: I look up at a wooden beam on the ceiling, or I look at the office door; both the door and the ceiling are about 2 meters from my face. I rotate my face 90 degrees left or right ...
7
votes
3answers
417 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
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3answers
210 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 ...
23
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3answers
2k views

What are some of the drawbacks to probabilistic models of cognition?

Probabilistic approaches to modelling cognition are increasing in popularity and being encouraged within the field (Chater, Tanenbaum, & Yuille, 2006). What are some of the arguments against or ...
2
votes
1answer
109 views

Combinatorial woes

I am interested in the creation of chunks (aka configural nodes) from smaller chunks and input features (only interested in System 1 cognition). Unitization studies (e.g. Goldstone (pdf)), suggest ...
10
votes
2answers
250 views

References for biologically plausible models of knowledge representation?

I'm looking for references that deal with the issue of how various kinds of semantic knowledge are (or might be) represented neurally. Most of the discussion of this topic seems skewed by social ...
7
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1answer
129 views

Any attempts at testing or modeling the 'cognitive conception' of language?

For those unfamiliar, the 'cognitive conception of language' refers to a claim made by some theorists that, in the words of Carruthers: "besides its obvious communicative functions, language also ...
6
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2answers
343 views

What can cognitive psychology tell us about the results of the Stanford Prison Experiment?

One of the experiments that are always taught as prime examples of social psychology in action is the Stanford Prison Experiment In 1971, Zimbardo accepted a tenured position as professor of ...
3
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2answers
279 views

What skills are required to build simulations of the human brain? [closed]

I want to build a system that has the ability to gather data from the internet in order to build a cognitive model of the human brain. The model should be able to answer the questions required by a ...
24
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4answers
1k 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 ...
8
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1answer
365 views

What are the current suggested models for Primacy Effect in memory recall or personality impression?

What are the current suggested normative, mechanistic or phenomenological models for explaining primacy effect as was observed by Solomon Asch (1946) on personality impression, list-of-words memory ...
18
votes
4answers
808 views

Perception of time as a function of age

For many people time seems to run faster as they get older. That is, for an old person an hour, a day or a year seems to be shorter than for a young person. Is there any hard data for such ...
15
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11answers
496 views

Any work being done on Perception, Action, and/or Cognition in Video games?

Call it a nerd crossover, but I've always been curious about how we play games on a mechanistic level. However, even coming from a rational viewpoint video games seem like a fruitful domain of study, ...
5
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3answers
127 views

Are there any cognitive models for visual navigation?

I've seen a few neuroscience accounts of visual navigation and many A.I. projects, but no psychologically plausible accounts that actually solve the computational problem (i.e. produce a working ...
10
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1answer
217 views

Are there any connectionist models that integrate reinforcement and fully supervised learning?

I've been working on modeling some phenomena involving real-time control in an environment with inherent rewards (specifically, playing a 'pong'-like game), and it's increasingly looking like ...