Questions tagged [spiking-neural-networks]

For questions related to spiking neural networks (SNNs) that more accurately model biological neurons in the brain than perceptrons or RNN cells by simulating pulses within and across neurons rather than simulating signal values that remain constant for each learning iteration (by example index or batch index for mini-batch).

Filter by
Sorted by
Tagged with
25
votes
7answers
2k views

If digital values are mere estimates, why not return to analog for AI?

The impetus behind the twentieth century transition from analog to digital circuitry was driven by the desire for greater accuracy and lower noise. Now we are developing software where results are ...
6
votes
2answers
224 views

What are examples of resources that describe the basics of Spiking Neural Networks in detail?

I'm very interested in writing a Spiking Neural Network engine (SNN) from scratch, but I can't find the basic information I need to get started. For example, I've seen pictures of the individual ...
4
votes
1answer
149 views

What are examples of machine learning techniques inspired by neuroscience?

What are examples of machine learning techniques (i.e. models, algorithms, etc.) inspired (to different extents) by neuroscience? Particularly, I'm interested in recent developments, say less than 10 ...
4
votes
0answers
55 views

Is it a good idea to first train a spiking neural network and then convert it to a conventional neural network?

In many papers about artificial spiking neural networks (SNNs), the performance of them is not up to par with traditional ANNs. I have read how some people have converted ANNs to SNNs using various ...
2
votes
0answers
58 views

Can traditional neural networks be combined with spiking neural networks?

Can traditional neural networks be combined with spiking neural networks? And can there be training algorithms for such hybrid network? Does such hybrid network model biological brains? As I ...
1
vote
1answer
90 views

How does one characterize a neural network with threshold-based activation functions?

In an attempt at designing a neural network more closely modeled by the human brain, I wrote code before doing the reading. The neuron I have modeled operates on the following method. Parameters: ...
1
vote
0answers
26 views

How does Lateral Inhibition Provide Competition among Neurons?

I stumbled upon a paper from P.Diehl and M.Cook with the title "Unsupervised learning of digit recognition using spike-timing-dependent plasticity" and I'm trying to understand the logic ...
0
votes
0answers
38 views

Can brain simulation be done using Tensor Processing Units?

A potential way to solving AI is via whole brain simulation. Currently we have the algorithm to model a human brain (albeit far from perfectly): https://thenextweb.com/news/theres-an-algorithm-to-...