Publication

Spiking Neural Network Device

Dario Floreano
2002
Patent

Abstract

The patent describes a method for representing a network of spiking neurons in a digital microcontrollers and ways to automatically synthetize an architecture for a specific problem using an evolutionary procedure. Both the neural representation and the evolutionary procedure require a few bytes of memory and a few assembly language operations.

Official source

https://infoscience.epfl.ch/record/111820?ln=en

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Spiking Neural Network Device

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Mesoscopic description of hippocampal replay and metastability in spiking neural networks with short-term plasticity

Taming neuronal noise with large networks

Fitting summary statistics of neural data with a differentiable spiking network simulator

Mesoscopic description of hippocampal replay and metastability in spiking neural networks with short-term plasticity

Fitting summary statistics of neural data with a differentiable spiking network simulator

Taming neuronal noise with large networks