For questions about modeling processes from cognitive and neurobiological theories via algorithms and computer simulations, and also about confirming experimental results with theoretical/statistical constructs.
17
votes
2answers
893 views
Neural networks with biologically plausible accounts of neurogenesis
One of the reasons artificial neural net algorithms like cascade correlation (pdf) have been generating interest is because they start with a minimal topology (just input and output unit) and recruit ...
17
votes
3answers
906 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 ...
12
votes
1answer
205 views
Computational models of early learning in children
What are currently used biologically plausible computational models/frameworks of early learning in children?
Personally, I have used cascade correlation neural nets to model pronoun acquisition ...
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 ...
11
votes
4answers
237 views
Why is training better when following an easy-to-difficult schedule?
As suggested in the answer to this question, experimental results show that training is most effective when it follows an easy-to-difficult schedule.
What theories and specifically computational ...
7
votes
1answer
196 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 is (or might be) neurally represented. Most of the discussion of this topic seems skewed by social ...
13
votes
3answers
598 views
Why does neuroplasticity decrease in adults?
Although adult brains are malleable and even undergo limited neuorgenesis, the extent of the neuroplasticiy is much lower than in children. This is most obvious in language acquisition, and recovery ...
10
votes
2answers
380 views
Biological plausibility of bayesian models of cognition
Inspired by this question: What are drawbacks to probabilistic models of cognition?
I would like to know more about the biological plausibility of Bayesian models of cognition. Is there any neural ...
9
votes
1answer
173 views
How do humans control saccades?
I've gathered the standard rational for a visual system utilizing saccades from perception textbooks: the neural cost of processing an entire scene at a high level of detail would be prohibitive, but ...
8
votes
0answers
159 views
Modern treatments of Alan Turing's B-type neural networks
In the cognitive sciences Alan Turing is best known for launching AI with his Computing machinery and intelligence (1950). However, this was not his first contribution to the cognitive sciences, in ...
-3
votes
1answer
131 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 ...
