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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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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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 ...
2
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1answer
34 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
6 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
38 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 ...
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1answer
35 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 ...
5
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1answer
49 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 ...
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2answers
54 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
54 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
36 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 ...
3
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2answers
108 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
72 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 ...
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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 ...
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1answer
84 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 ...
4
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1answer
90 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 ...
5
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1answer
51 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 ...
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4answers
72 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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3answers
105 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 ...
3
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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.
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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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2answers
66 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 ...
9
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1answer
71 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 ...
9
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1answer
76 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 ...
3
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1answer
52 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
174 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
19 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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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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2answers
196 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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2answers
149 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
77 views

Reference request in Circuit and Signals for Computational Neuroscience

In the area of computational neuroscience, there are basic theories from electric circuits and signal processing to be applied. For background study, which reference will be more suitable ? ...
0
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1answer
38 views

What is an example of a learning machine that achieves zero variance?

I'm attempting to find an example of a learning machine/neural network that achieves zero variance, but I am having a hard time finding an example anywhere. Variance is defined as the generalization ...
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2answers
88 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 ...
5
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1answer
52 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 ...
2
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0answers
90 views

Differences between the many versions of neuromorphic hardware [closed]

There is a ton of neuromorhpic hardware being pumped out these days. Off the top of my head, I can name IBM (BlueGene and TrueNorth), Qualcomm, Neurogrid, Brainstorm (Neurogrid 2.0), Spinnaker, ...
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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 ...
8
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1answer
138 views

Spiking Neural Network Simulation: Measuring and Classifying Bump Attractor States

I am currently working with Spiking Neural Networks and multi-(meta)-stable attractor states. What I observe in my simulations are 'bump' attractors that appear, disappear, and may wander around. ...
3
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3answers
48 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 ...
3
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2answers
6k 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 ...
10
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2answers
385 views

How distantly related are research in computational neuroscience and neural networks/machine learning?

If one is more interested in understanding how algorithms in the biological brain solve problems (theoretically, particularly the mathematical aspect), and possibly in building brain-inspired ...
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3answers
175 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 ...
10
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1answer
78 views

Why do long range axons in mammals travel in white matter tracts?

I am curious to know as to why long range, myelinated axons prefer to convene and form white matter tracts, rather than simply reach its target in an arbitrary fashion. Is there some kind of ...
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1answer
43 views

Why do I get smaller accuracy when I use 80% of training sets using HMAX model?

I am trying to compute the accuracy of the HMAX model. I am using the Face category (containing 435 images) from the Caltech101 database. I split it into $x$ ...
3
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1answer
206 views

What causes a muscle to be unsteady?

I have noticed for myself that sometimes, certain muscles may become unsteady. Here are three examples: Sometimes it is more difficult to hold my hand still in the air. Another example is how my ...
6
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1answer
95 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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1answer
147 views

Is it truly necessary to upgrade Tononi's criteria of consciousness in the Integrated Information theory?

I am referring specifically to a very recent paper by Max Tegmark. In this paper he proposes 3 more criteria (independence, dynamics, and utility principle) in addition to Tononi's original criteria ...
5
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1answer
223 views

Computational model of biological object recognition

The human brain can achieve a remarkable ability to recognize visual patterns in an Invariant, selective and fast manner. The human visual system is quite powerful. It has an exquisite selectivity ...
5
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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 ...
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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 ...
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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 ...