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Index > MenuetOS > 1.49.20 - Neuron EPSP simulator

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Ville



Joined: 17 Jun 2003
Posts: 302
Ville 26 Oct 2023, 11:52
Modern artificial neural networks are often derived from the McCulloch-Pitts model and don't have much common with actual biological neural cells functionality. For example, current artificial NN-models send high-precision values from one cell to another, while actual biological cells send only individual impulses or impulse-groups. Another problematic concept is backpropagation, which is required for artificial networks learning. In biological net, backpropagation can occur within a cell, but its accuracy is not enough for backpropagation-defined parameter tweaking. So as part of my univ. studies, I wrote a model/simulator for actual biological cells EPSP (excitatory post-synaptic potential) activations, which learns, detects and repeats variable time-step sequences, also referred as coincidences (demos/cldrnn).
Post 26 Oct 2023, 11:52
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GT



Joined: 15 Nov 2023
Posts: 1
GT 15 Nov 2023, 19:54
Although I'm far from programming, I have a question. Is it possible to store neural network nodes on magnetic hard drives and process them using multi-core processors even slower than in real time?
I mean, is it possible to scale such a network at low cost and at low speed to 100 milliard neurons and 100 billion synapses?
Post 15 Nov 2023, 19:54
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Ville



Joined: 17 Jun 2003
Posts: 302
Ville 16 Nov 2023, 14:31
High precision calculations are one of the most power consuming operations with current ANNs. According to professor Thorpe, simulating full brain activity with 86 billion neurons would consume 30 megawatts of electricity, when actual brain consumes only 20 watts. So its a question of how much slower simulation we are willing to accept. With Spiking Neural Networks (SNN) the power requirements are much lower.

www.youtube.com/watch?v=8K5oc4y0Vas
Post 16 Nov 2023, 14:31
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