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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Is a network of neurons the only factor in memory?

Background I'm actually writing a science fiction novel set a couple decades in the future. Brains are not my field. I've done as much research as I could. In the story, the protagonist finds out he ...
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0answers
51 views

Other emotions relative to angry/happy base emotions

In my layman's experience, I'm vaguely aware there are four base emotions: happy, sad, afraid/surprised, and angry/disgusted.1 Some background: We're training an AI to learn the difference between ...
5
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1answer
51 views

What is the relationship between visual attention network and visual stream (Two-streams hypothesis)?

There are two visual attention networks proposed by Maurizio Corbetta and Gordon L. Shulman (2002). These are top-down and bottom-up attention networks. One system, which includes parts of the ...
8
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3answers
141 views

Is there a neural network model of Pavlovian Learning?

I am trying to find a computer simulation of Pavlovian learning. i.e. an action such as salivation in response to a stimulus such as a bell ringing. Most neural network models I've seen seem to be ...
3
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1answer
66 views

Information storage capacity of a neural network?

I seem to remember reading about some equation that states the amount of information that can be held by a neural network with n neurons in it arranged in l layers, or something vaguely like that (n ...
5
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1answer
52 views

What does “Convolutional” signify in “Convolutional Neural Network”?

The "Types of Neural Networks" wiki page doesn't even have the word "convolution" in it, and yet there's an entire Javascript library based on Convolutional Neural Networks (CNN). So, what makes ...
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0answers
33 views

Do adversarial neural networks exist in the brain?

A recent development in Artificial Neural Networks for machine learning applications is the use of Adversarial Networks (see this paper for an example). Adversarial Networks is a network architecture ...
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0answers
10 views

Do STDP synapses potentiate AND depress at the same time?

Do STDP synapses potentiate and depress at the same time? Consider the following scenario where two cells are connected by an STDP synapse: PRE and POST. PRE cell fires two action potentials 2 ms ...
4
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1answer
36 views

Is the Resting Potential and Action Potential Thresholds the same across all neurons in a network?

Does the action potential and resting potential of a given neuron differ from another neuron within the same network or is it constant? If not what determines and affects these potentials and can they ...
3
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0answers
30 views

How does the hippocampus and the “Papez” circuit form a memory?

It is admitted the hippocampus is necessary to the formation of new long term memories. At first, information goes back and forth between various parts of the cortex and the hippocampus. That's how a ...
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0answers
34 views

What is the purpose of dead end neurons in this diagram?

I was reading over some sources about ANNs, and here I found this diagram of a Recurrent Neural Network (RNN, the source calls it a feedback neural network). I noticed that a few neurons in this ...
2
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1answer
13 views

Can training on neural networks be selectively undone?

Say that you've trained a network with a set of training data comprising of data points A,B,C, and D. Can the effect of, say, point B on the network be undone without also losing the training from ...
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4answers
9k views

What is the difference between biological and artificial neural networks?

I read that neural networks are of two types: a) Biological neural networks b) Artificial neural networks (or ANN) I read, "Neural Networks are models of biological neural structures," and the ...
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4answers
93 views

What are the rules that govern neuron behavior?

This is what I know so far: Neurons are nodes with a number called the threshold. Neurons are connected to other neurons through directed axons. Axons take the signals produced by neurons and ...
5
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1answer
53 views

A question on synapses

we are looking into running simulations of the nervous system of C. Elegans. It is believed by most people that the worm's nervous system encodes information through graded potentials and/or plateau ...
5
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1answer
75 views

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

Correct me if I am wrong please, from what I understand horizontal communication spans very short distance in all layers of the neocortex but layers I and II. In these two layers dendrites and axons ...
2
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1answer
47 views

During synchronized waves oscillation (alpha beta etc…) do neurons fire only once for each wave cycle?

Or can they fire few times then pause and again, firefew times and pause periodically? If the second case happens then do we know if the neurons that fire in synchronity fire the same number of ...
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0answers
28 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 ...
2
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1answer
51 views

How can neuronal networks with local learning rules predict their future inputs?

Local learning rules like Contrastive Hebbian Learning, XCAL, etc. are based on the idea of strengthening edges when the neurons they connect fire simultaneously. This causes frequent patterns in the ...
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0answers
12 views

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 ...
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2answers
48 views

Understanding neuronal firing in the context of Spike Timing Dependent Plasticity

When discussing Spike Timing Dependent Plasticity in neurons, when we say that a neuron fires do we mean it fires only one spike? Or do we still say "the neuron has fired" when a train of n spikes was ...
6
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1answer
96 views

What functional purpose does a cortical column serve?

The Blue Brain project led by Henry Markram focused on simulating cortical columns under the idea they form basic processing units of the brain/cognitive function. What functional purpose does a ...
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2answers
153 views

How is the biological accuracy of ANNs typically measured?

I am referring to the computational neuroscience side of neural network research that focuses on biological accuracy. I've read references to improving biological realism (using say spiking neurons ...
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2answers
94 views

How useful are neural circuits in psychology?

We can identify many kinds of patterns of how neurons connect such as lateral inhibition, negative/positive feedback, convergence, divergence, and facilitation. But have any of these circuits been ...
4
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1answer
62 views

Can dendrite spines fire action potential toward the soma?

I am confused about how the signal propagates from the dendrite spines toward the soma. I believe it is commonly taught that the signal diffuses "passively", i.e. electrostatically with no ...
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0answers
39 views

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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2answers
111 views

Neural nets for cognition

I recently got into Neural networks. As much as I have understood, the learning process is based on the change in weights according to stimulus and algorithm used in learning. Does this in any way ...
3
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1answer
91 views

link between top-down (bottom-up) processing and cortex layers

What are the relations between top-down and bottom-up processings and the flows of information in the brain? For example, does top-down processing start from some layers and go to lower layers? If so ...
3
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3answers
51 views

Are there any programmes to identify modular “NeuroBricks”?

In synthetic biology, an organization called the BioBricks Foundation tries to identify modular biological components that are amenable to engineering design, and publishes them in the Registry of ...
0
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1answer
40 views

Does human to human interface carry the same information from the brain [closed]

I'd like to know if the human to human interface carry the same information from the brain or it is just a signal that switch on or off electrical impulses that causes the limb to contract? Is it ...
4
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1answer
92 views

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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1answer
131 views

How many possible states does a brain have?

Suppose I have a box, inside of which is a light which can be either on or off: it has exactly two states. Suppose I wanted to take some "snapshot" of the state of this device, and store all the ...
2
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4answers
78 views

How to begin neural network Programming [closed]

I am a Computer Science Student and recently studied neural networks, but theory only. How can this be implemented in real time programming language. What should I search for or what content should I ...
5
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1answer
68 views

How does a human classify or cluster data?

Here, what I mean by DATA are text documents. I am going to do a research on text clustering algorithms by the help of artificial neural networks (ANNs). But first of all I need to know how our brain ...
5
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3answers
171 views

What do the weights of an artificial neural network represent in biological neurons?

In artificial neural networks the connections between neurons are a assigned numbers called "weights" or "parameters". As new data is fed into the neural net, these weights change. This is how the ...
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0answers
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.
9
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1answer
81 views

Does a recent general review of recurrent neural networks exist?

Does anyone know of a comparatively recent paper reviewing the literature on psychological applications of recurrent neural networks? I'm looking for a paper which provides a general overview of the ...
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0answers
53 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 ...
3
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2answers
74 views

Hebbian Learning - Understanding Simultaneous Firing

Im beginning to write a neural network simulator in Java and thinking of Hebbian Learning but Im stuck at one thing: What causes two neurons to fire at the same interval while only one of them is ...
2
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2answers
104 views

How many action potentials from presynaptic neurons would be required to make a postsynaptic neuron fire?

I am looking for a rough estimation of the number of action potentials from other neurons required to cause a neuron to fire? I read here that a potential of ~ -55mv must be reached before an action ...
13
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1answer
2k 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 ...
9
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1answer
72 views

Does an action potential abolish an excitatory postsynaptic potential?

From some sources, I've read that excitatory postsynaptic potentials (EPSPs) decay over time, which would imply that they aren't abolished by action potentials. However, other sources seem to indicate ...
3
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1answer
57 views

Is the weight of neural inputs in the human brain as central as it is for neurons in an artifical neural network?

As an example of an artificial neural net (ANN), a neural processing unit (NPU) is able to encode previous (learned) information by storing a weighted resistance for each input. Since ANN's are ...
7
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1answer
248 views

How does the brain break down visual information for processing? What “channels” is visual input broken into?

Some time ago I remember reading about how the human brain breaks down visual information into a number of individual "channels". For example, one channel might focus on edges and lines, another ...
3
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0answers
21 views

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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0answers
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 ...
5
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2answers
219 views

Why is it so difficult to use a “true mirror” as a mirror

This Youtube video shows what a "true mirror" is: https://www.youtube.com/watch?v=ZSxCZCy5Wsk In short, when you look into a true mirror you look at yourself (among other things) as you really are, ...
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7answers
4k 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 ...
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3answers
177 views

What kinds of information can (and cannot) be extracted from connectome?

Several scientific projects are trying to map the connectome, such as The Human Connectome Project. The connectomes of other organisms, such as C. elegans, have been mapped already. Having an ...
5
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1answer
54 views

What's the functional difference between the NEF and normal ANNs?

Aside from obvious biological plausibility, from a computational standpoint, what's the motivation of using the Neural Engineering Framework (NEF) instead of Artificial Neural Networks (ANNs) for ...