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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Interpretation & Actual Result of “10% of your brain” Myth

It is well known that the common myth that an individual only ever uses 10% of their brain is.. well, a myth. I had a question about a possible interpretation of this idea, and a follow-up question ...
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0answers
44 views

What exactly is an astroglial calcium wave?

There are quite a few conflicting reports as to what stimulates them, how they propagate, whether they communicate intercellularly, and what they look like. The only consistent information I can ...
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0answers
74 views

What functions does the brain perform to recognize a familiar object unconsciously?

Let's say a person's brain experiences how a vehicle/object looks for the very 1st time. It would require lot of attention/focus/processing to analyse the object, extract features and train its neural ...
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40 views

What kind of feed-back scheme is there for a back-propagation feed-forward ANN for self-learning of touching a coordinate with robot arm?

I'm a beginner in this topic and are learning how to build an artificial neural network and different types of training associated with them. Right now, I'm trying to figure out self learning. For ...
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30 views

Why do we train the threshold as a weight in neural networks?

Why do we train the threshold as a weight? I understand the process of how to do it (the bias and augmented weight vector) but do not get the importance or practical applications of doing so.
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What is the equivalent of a Hamming network in the NEF?

After doing a bit of research, I'm somewhat convinced that Hamming networks are networks that classify, but only put out a single result, as opposed to other networks which output multiple results. In ...
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24 views

A simple derivation of the generalization bounds for the classical perceptron model

I'm basically referring to the great work of Elizabeth Gardner in this matter. I find that her work is often overlooked in the field of neuroscience, arguably because it is too difficult to understand ...
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8 views

How far a signal can travel in the neocortex without passing through the white matter?

Correct me if I am wrong please, from what I understand horizontal communication spams very short distance in all layers of the neocortex but layers I and II. In these two layers dendrites and axoms ...
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Are there any precise design principles for artificial connectomes or neural networks?

I've been reading about the openworm.org project. I've downloaded the code and run some simulations. The people at OpenWorm have made an experiment where they setup a robot with the neural network of ...
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23 views

When we say signals go from one cortical area to an other one do we mean they go directly without going through the thalamus for example?

Or is it implied signals always have to go back and forth between the thalamus and the cortex? Or is it possible they do both at the same time? Or maybe for areas next to each others they can go ...
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How can higher concepts get unrolled with upward and feedback connections differing?

In the neocortex, input patterns are compressed hierarchically. Sensory inputs in the lower levels are combined by higher levels to form abstract concepts. However, there are even more feedback ...