Questions tagged [neural-network]

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.

24 questions with no upvoted or accepted answers
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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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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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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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What is the state of the art on the wiring optimisation problem?

One of the earliest neuroscientists, Santiago Ramón y Cajal, postulated that brains are arranged to minimise wire length [1]. In [1] Dmitri Chklovskii and Charles Stevens formulate this problem as ...
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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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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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174 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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Convolutional Operations in the Visual Cortex

One of the fundamental operations in image neural networks is the operation of convolution, where a filter slides across the receptive field, activating on particular features. This is incredibly ...
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50 views

Task-based vs task-positive networks

Do the terms "task-positive network" and "task-based network" refer to the same thing, such as the Fronto-Parietal Control Network (FPCN), as distinct from the task-negative networks such as the ...
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From the following paragraph, why would the input or the initial condition not matter in the output?

On pg.37 of “Principles of Neural Science,” they state that “...in systems with feedback circuits it is the dynamic activity of the system that determines the outcome of computation, not inputs or ...
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Biological Neural Network Modification to Unlearn Understandings

Lets assume that a person grows up thinking that religion X is true religion. So he builds up a profile in ones head and when notion of religion X appears the neurons that is related are fired, giving ...
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Single neuron dominates for all input patterns using STDP in simple LIF SNN

I have been reading latley on SNN and decided to try and implement myself some simple simulation. So I wrote a simple MATLAB simulation using simple LIF current based model and I try using STDP to ...
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Serializing and deserializing stable states of Hopfield networks

I am looking for simple artificial neural networks that may perform the following serializing task. Consider two identical Hopfield networks, one being at rest, the other being in a stable state of ...
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103 views

Can human brain neural circuits understand the concept of “other human beings” and their motives?

I've read that one of the tests of animal intelligence is whether or not the animal recognizes itself in the mirror or can determine that other animals have motives other than it's own (ex: can ...
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82 views

Is using tensorflow for Spiking neural networks a “good” idea?

I recently started working with Spiking Neural Networks and was hoping for some input from others. I saw there were many libraries/platforms specifically made for working with SNN's (Brian, PyNN, ...
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How many axons and dendrites are entering and exiting human male internal urethral sphincter?

As I know, this information is not available yet. If indeed it is not available, this question may wait for future answers. I have known out that some parts of human connectome are already mapped, so ...
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Decussation of Cranial Nerves

Which cranial nerves decussate apart from the few nerve fibers of the optic nerve that do and how to easilly remember the cranial nerves that do? Here is a paper for the Trochlear Nerve But I have ...
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Hypotheses about neural coding and neural correlates of concepts and reasoning - at the level of neurons and synapses

Are there some hypotheses about neural coding of language, concepts and logical reasoning in the brain, about neural correlates of thoughts? When I search the books, then I find lot of books about ...
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32 views

Do people still use ACT-R?

A lot of computational cognitive scientists seem to be working on Neural nets (mostly vision scientists), Reinforcement learning (mostly decision making people) and Bayesian Inferences. I could hardly ...
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22 views

What lies at the core of human brain's processing, is it a simple retrieval from memory or actual computation?

For example, let's say I am solving a tough Calculus problem, as is my friend. I have practised calculus problems for several months now. While my friend is new to it. So, I solve it easily while my ...
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Connectome Datasets Related to Consciousness

I am a mathematics student currently looking for connectome datasets specifically related to consciousness research. I have mainly looked at the following sites: https://neurodata.io/ https://db....
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Graph Dynamical Systems for simulating Spiking Neural Networks

Computational approaches to understanding the connectivity of biological neural networks using graph theory and dynamical systems have been recently gaining traction. I am wondering if there are any ...
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25 views

Resources for learning Advanced Neuroscience

I am very interested in learning at an high level: How neurons send signals to each other Activation sites of neurons The exact process of signal transmission Dopamine and other neurotransmitters ...
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reservoir computing and transient states

I'm exploring reservoir computing more precisely, Echo states network. I can't find good explication for number of drop of transient states. How to tune this variable and what is the impact of this ...