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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3
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2answers
161 views

Why neural architecture is not hardwired for N-dimensional vision but hardwired for abstract math?

In The Theoretical Minimum, in lecture 1, Leonard Susskind says that you can only visualize 3 dimentional images. (see yourself). Therefore, he says, in order to deal with N dimensions, you need to ...
5
votes
1answer
209 views

When a person starts to scratch, why does this often start others to scratch?

Often, when a person starts scratching and complains of being itchy, whether they suggest there might be a bug biting them (for example fleas, head lice, mites) another person with them will start to ...
5
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0answers
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 ...
3
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0answers
163 views

Does this neural network model exist? [closed]

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 ...
0
votes
2answers
186 views

As for future mind control/reading technology, can humans fight it?

As of recent times, rats have communicated through wireless brain implants, from across the globe. Also, recent fMRI technologies have allowed prediction of movements (or intention), and the ...
11
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3answers
208 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
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1answer
73 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 ...
10
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1answer
267 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 ...
8
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1answer
170 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 ...
10
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1answer
225 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 ...
26
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2answers
1k 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 ...
18
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2answers
390 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 ...
12
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1answer
358 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 ...
8
votes
1answer
115 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 ...
15
votes
3answers
503 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 ...
7
votes
1answer
107 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 ...
8
votes
1answer
159 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
163 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 ...
5
votes
1answer
585 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
943 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
733 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
842 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 ...