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.

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7
votes
1answer
146 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 ...
6
votes
2answers
151 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 ...
4
votes
1answer
316 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 ...
10
votes
1answer
820 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 ...
10
votes
1answer
640 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 ...
11
votes
2answers
787 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 ...