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.
157 questions
1 vote
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What is the earliest known occurrence of corollary discharge (CD) mechanisms or circuitry in prenatal or postnatal development?
Are there research studies identifying the earliest occurrence of corollary discharge (CD) mechanisms or circuitry in prenatal or postnatal development? At what stage of fetal or neonatal development ...
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1 vote
1 answer
94 views
How does cocaine specifically affect "happiness neurons" when dopamine is affected brain-wide?
As I understand it, the brain is a large network of neurons sending signals to each other. To send a signal, a neuron will send an action potential down its axon, which triggers the release of ...
- 25
0 votes
1 answer
115 views
How is it possible for brain neurons to learn if they don't do backpropagation?
First some background. The field of artificial neural networks was inspired by early brain neuron research, such as that by McCulloch and Pitts. However, the early ANN research stalled due to the ...
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1 vote
1 answer
28 views
Literature on network theory and/or systems theory [closed]
I am interested in learning about the network theory and the systems theory, especially from the social and cognitive standpoints, but I've been struggling to find any decent textbooks about it. I ...
- 11
0 votes
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49 views
Is there any type of neuron capable of modeling "nonlinear function" (e.g. trigonometric, instead of "linear" in traditional Neural Networks)?
Modern Deep Learning technologies such as Self Attention and RNN, kind of integrated higher-degree nonlinear functions fundamentally. e.g. $(w_{1_{branch1}}x_1 + w_{2_{branch1}}x_2) \cdot (w_{1_{...
0 votes
1 answer
37 views
Can neurons belong to multiple communities?
I've been reading a little about neural networks in the brain, such as this paper. Most models have a resolution parameter $γ$, and for each value of that parameter a network can be partitioned into ...
- 103
2 votes
0 answers
39 views
Which sleep stage(s) account(s) for synaptic consolidation the most?
I learnt that long-term consolidation of memories happens vastly while we are asleep, and it is accompanied by synaptic changes. But exactly which stage(s) of our sleep account for the synaptic ...
2 votes
0 answers
26 views
Question about How to assign the order of vertices of a pial surface in FreeSurfer
I'm a CIVET user but I recently started to use FreeSurfer. As far as I know, for a surface from CIVET, its vertices are ordered by upsampling a polygon. So I could access downsampled surface by ...
- 21
4 votes
1 answer
171 views
How different is the neural activity in different individuals when they are doing the same tasks?
Today, we can measure EEG (or fMRI) in different individuals and use machine learning to predict their thinking. I want to know if the exact neural patterns (fMRI, EGG etc.) are still similar across ...
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1 vote
0 answers
29 views
How can behaviour be heritable? [duplicate]
As humans, we are rather proud of our ability to develop and learn new behaviours, seeing this as superior to the inheritance of behaviours that increasingly dominates the repertoires of animals with ...
- 31
2 votes
2 answers
97 views
Are there any standard tools for neuroscience models programming, like for spiking neural networks?
I come from deep learning environment and there is quite a few standard tools and frameworks that you can use in different occasions. I am trying to build a spiking neural network model in Python and ...
- 21
0 votes
1 answer
47 views
what is a layer in a **biological** neural network?
in this book Computational Cognitive Neuroscience and its corresponding software leabra The Leabra Algorithm: Leabra stands for Local, Error-driven and Associative, Biologically Realistic Algorithm, ...
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2 votes
0 answers
53 views
Update of feedback connections in brain
A recent paper by Lillicrap revisits the connection between deep learning models and brain and its biological plausibility. In their work, they show that it is possible to learn with fixed feedback ...
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2 votes
2 answers
101 views
What does "all-or-nothing" means in spiking neural network?
I'm reading a paper by Auge et al. (2021). In the introduction they said "Spiking Neural Networks (SNNs) use short 'all-or-nothing' pulses to encode and transmit information". I'm not sure ...
0 votes
1 answer
128 views
How do we know that neurons are the only cells involved in cognitive computation?
I am an undergraduate studying pure mathematics taking a class on computational neuroscience. My default lens for looking at the brain is in terms of universal computation (in the Turing machine sense)...
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