For questions about mathematical and computational neuroscience.
17
votes
2answers
895 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 ...
10
votes
2answers
397 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 ...
6
votes
1answer
164 views
How does neural spiking begin in the fetus?
I'm interested in modeling human brain spiking activity. How does the very first spiking activity begin in the fetus?
I imagine all spiking activity is initiated by the senses and internal ...
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 ...
15
votes
3answers
4k views
Why would the brain flip the images perceived by your eyes?
The following is a common scientific statement, which you don't have to google long for to find:
The eye views images upside-down in the manner of a camera lens, but
our brains reinterpret this ...
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 ...
14
votes
1answer
383 views
What is an effective metric of complexity for an Artificial Neural Network?
After asking the question What is the most complex neural network... I realized I don't really have a good metric of "complexity" in a general sense. The simplest measure would likely be count of ...
11
votes
2answers
204 views
How are newly created neurons recruited into existing networks?
As far as I understand, the basics of neurogenesis (abstracted down to the level that makes sense to a computer scientist) is as follows:
Neural progenitor cells differentiate into new neurons that ...
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 ...
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 ...
8
votes
1answer
91 views
What is the role of traveling waves in circuit formation during cortical development?
Propagating waves of activity have been characterized in various regions of the brain such as the visual cortex (Nauhaus et al., 2012). Recently they have been reported for the first time to occur ...
7
votes
4answers
501 views
Difference between parallel processing done by human brain and by computers
I am asking a question regarding parallel processing as done by billions of Neurons inside our brain and parallel processing done by our computers in a cluster for example or even on a Graphics ...
6
votes
2answers
303 views
In what ways can neurons fire randomly?
When developing a model of a biologically-plausible neural network, it is important to know all the circumstances under which neurons can fire. But, I am limiting this question to random firing. In ...
