Questions tagged [artificial-neuron]

For questions about what constitutes an artificial neuron and how artificial neurons can be utilized as part of a neural network.

13 questions with no upvoted or accepted answers
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Back-of-the-envelope machine learning (specifically neural networks) calculations

There is a popular story regarding the back-of-the-envelope calculation performed by a British physicist named G. I. Taylor. He used dimensional analysis to estimate the power released by the ...
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34 views

What is the output of neuron $y_{2}$ at time step $t$?

In Fundamentals of Neural Networks: Architectures, Algorithms And Applications by Laurene V. Fausett on $\text{Page:32}$ it describes Hot and Cold perception modeling with McCulloch-Pitts Net the ...
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15 views

Regional specialization in neural networks (especially for language processing)?

What is the status of the research on regional specialization of the artificial neural networks? Biology knows that such specialization exists in the brain and it is very important for the functioning ...
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30 views

Does a varying ANN model accuracy mean underfitting or overfitting?

Background: This is for a simulated robot with four legs, walking on a flat terrain. The ANN (an MLP) is given inputs as the robot's body angle, positions and angle of each leg with respect to the ...
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170 views

Is it possible to create intelligence with metaprogramming?

The computer is made up of NAND conditional statements. And "conditional statements that read and write conditional statements" must exist. For example "Modify conditional statement 2 if conditional ...
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26 views

Since there are different types of neurons in adjacent positions in the brain's arrays, should heterogeneous layers be developed?

Below is a taxonomy of neurons. Some of these types occur in different locations in the brain, but there are adjacent neurons of varying types with clearly functional type diversity in many parts of ...
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32 views

neuralnetworksanddeeplearning.com chapter 5 problems

For http://neuralnetworksanddeeplearning.com/chap5.html , could anyone suggest: 1) how to approach the derivation of expression (123) ? 2) what constitutes value ~ 0.45 ? 3) why the need of taylor ...
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47 views

How does the degree of neuronal realism affect computing in a deep learning scenario?

Neurons can be simulated using different models that vary in the degree of biophysical realism. When designing an artificial neuronal network, I am interested in the consequences of choosing a degree ...
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217 views

Feature set out of grayscale Images for training a neural network?

Previously I had trained a Neural Networkupon 20,000 character images. This Neural Net generally works well, it uses ...
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32 views

The ANN is based on cognitrons

I'm trying to understand how to build the ANN on cognitrons, so I have read theory for that topic and found the scheme: As I got neurons are subdivided in two classes: the exciting and the inhibitory....
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41 views

Is there artificial intelligence capable of drawing?

Small clarification. This is not about neural networks that study millions of pictures from the Internet and simply rearrange different elements of these pictures. It's about something more ...
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14 views

Why doesn't a neuron activation depend on number of input (presynaptic) neurons?

In an artificial neural network, we usually use the same activation function for all neurons, independently of the number of input (presynaptic) neurons. However, usually, the number of input neurons ...
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28 views

Why is the sigmoid function interpreted as a saturating firing rate of a neuron?

I've seen several people say that sigmoids are like a saturating firing rate of a neuron but I don't see how or why they interpret it as such. I especially don't see the relationship between a "...