For questions about the function and structure of both biological and artificial neural networks (ANNs), and for the applications of ANNs to modeling in cognitive science.
6
votes
2answers
38 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
1answer
47 views
Is the energy of an action potential divided among multiple axon terminals?
My understanding is that the bulk of an axon is myelinated, greatly adding to the efficiency of transmitting action potentials. However, the axon terminals are not myelinated. I'm wondering if the ...
3
votes
0answers
36 views
Structural descriptions of neuronal networks are important for understanding brain dysfunctions; which dysfunctions, in particular?
In a recent paper, we find this quote:
The brain contains vast numbers of interconnected neurons that constitute anatomical and functional networks. Structural descriptions of neuronal network ...
10
votes
1answer
57 views
Is a Hopfield network with a continuous activation variable and a discrete time variable possible?
I've found plenty of resources on Hopfield networks that use either discrete variables for both activation level and time or continuous variables for both activation level and time. Is it possible to ...
7
votes
4answers
508 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 ...
3
votes
0answers
83 views
Does this neural network model exist?
I'm looking for a neural network model with specific characteristics. This model may not exist...
I need a network which doesn't use "layers" as traditional artificial neural networks do. Instead, I ...
5
votes
1answer
113 views
Hebbian Learning Rule, Local or Global?
I just learned about the Hebbian Learning Rule. It essentially says "Neurons that fire together, wire together". I'm wondering if the learning rule is affected by the spatial distance of the two ...
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 ...
8
votes
0answers
168 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 ...
8
votes
1answer
209 views
Spurious attractors in Hopfield networks
A classic "Hopfield network" is a type of artificial neural network in which the units are bi-stable and fully interconnected by symmetrically weighted connections. In 1982, Hopfield showed that such ...
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 ...
6
votes
2answers
85 views
Utility or software to visualize Neural Network?
I am using Octave to generate a Neural Network with a single hidden layer, and saving it as two CSV files.
Is there a utility or software that will load the files and create an image, PDF or HTML ...
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 ...
4
votes
1answer
116 views
Computational differences between spiking neural networks and previous ANNs
This is an AI question regarding "3rd generation neural networks" - spiking neural networks (SNN).
I hve been studying this concept online from various papers, mainly Maass (1997). I and am not ...
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 ...
11
votes
2answers
205 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 ...
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 ...
8
votes
1answer
341 views
What is the most complex artificial neural network created to date?
A few years ago I wrote a research paper for college on neural networks. At the time IBM's Blue Brain was the clear winner. Some rumor went around that they were close to emulating a brain the ...
10
votes
2answers
424 views
What can we learn from the neural networks of C.elegans to understand human brains?
Recently I am reading some works about Caenorhabditis Elegans. A C.elegans has 302 neurons and we already know the function and connection of every one of their neurons so that we can exactly ...
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 ...
9
votes
1answer
187 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 ...
