Tagged Questions
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
87 views
Can processing effort for sub-tasks in neural networks be measured?
I often heard statements like:
80% of your brain processing is computing the effect of gravity
or, similarily:
You only use 20% of your brain power
My question isn't about the truth of ...
7
votes
1answer
106 views
How can STDP fit with reciprocal connectivity?
I have rather technical question regarding STDP dynamics.
I am working on a neural network implementing an STDP learning algorithm, and have noticed that it is extremely anti-reciprocal. When two ...
8
votes
3answers
306 views
What are the key examples of the use of computational methods in the study of biological neural networks?
In an upcoming postdoc, I'm going to be looking through biological neural network data in the hopes of finding some interesting "patterns". I'm coming at this field from a mathematics/computer ...
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 ...
8
votes
1answer
124 views
What explains variability in the mean firing rate across biological neurons?
Biological neurons have a trade-off between high information transfer (high firing rate) and energy conservation (low firing rate). One would suspect that the maximization of this function has a ...
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 ...
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 ...
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 ...
17
votes
2answers
896 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 ...
