Tagged Questions
9
votes
2answers
53 views
Is there any recent work on modeling how we rapidly acquire new knowledge?
I work with neural network models of human cognition a lot, and one thing that bugs me about them is the timescale: they learn over thousands of trials whereas humans seem to learn after a couple ...
2
votes
0answers
49 views
Predicting the Duration of Future Events
I am interested in the question of how people use/integrate previous experiences with instances of tasks or events to make predictions about the duration of future instances of tasks/events.
To ...
2
votes
0answers
45 views
What are the most well-understood vocal animal languages?
There are many examples of animal language that involve vocal pattens or "grammar".
For example, there is the the Bee dance, bird songs, whale songs, dogs.
Bird vocalization includes both bird calls ...
2
votes
2answers
77 views
How to adjust SSE or RMSE for the number of free parameters in the model?
How do I adjust SSE (sum of squared errors) or RMSE (root-mean-square errors) for the number of free parameters in the model?
Is there an "adjusted" RMSD metric similar to the adjusted r-squared ...
8
votes
1answer
106 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 ...
7
votes
1answer
99 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, ...
6
votes
2answers
99 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 ...
-3
votes
1answer
132 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 ...
10
votes
5answers
252 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 ...
17
votes
3answers
913 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 ...
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 ...
2
votes
2answers
242 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 ...
4
votes
3answers
96 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 ...
