Stochastic Radial Basis Neural Networks
| Autor: | Fabio Galan-Prado, Josep L. Rosselló, Alejandro Morán, J. Font, Miquel Roca |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Spiking neural network
Digital electronics Quantitative Biology::Neurons and Cognition Artificial neural network Basis (linear algebra) Computer science business.industry Stochastic process Mature technology 02 engineering and technology 03 medical and health sciences 0302 clinical medicine Computer engineering Logic gate 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Field-programmable gate array business 030217 neurology & neurosurgery |
| Zdroj: | PATMOS |
| DOI: | 10.1109/patmos.2019.8862129 |
| Popis: | Stochastic spiking Neural Networks (SNN) is a new neural modeling oriented to include the intrinsic stochastic processes present in the brain. One of the main advantages of this kind of modeling is that they can be easily implemented in a digital circuit, thus taking advantage of this mature technology. In this paper we propose a digital design for stochastic spiking neurons oriented to high-density hardware implementation. We compare the proposal with other neural models, comparing in terms of speed, area and precision. As is shown, the circuit proposal is able to provide competitive results when comparing with other works present in the literature. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|