A Review of Biologically Plausible Neuron Models for Spiking Neural Networks

doi 10.2514/6.2010-3540
Full Text
Abstract

Available in full text

Date
Authors
Publisher

American Institute of Aeronautics and Astronautics

Related search

Wide Learning: Using an Ensemble of Biologically-Plausible Spiking Neural Networks for Unsupervised Parallel Classification of Spatio-Temporal Patterns

2017English

Biologically-Inspired Spiking Neural Networks With Hebbian Learning for Vision Processing

2008English

Exploration of 2-Neuron Memory Units in Spiking Neural Networks

Computer Research and Modeling
Computational TheorySimulationComputer Science ApplicationsModelingMathematics
2020English

Biologically Plausible Models of Neurite Outgrowth

Progress in Brain Research
Neuroscience
2005English

A Curiosity-Based Learning Method for Spiking Neural Networks

Frontiers in Computational Neuroscience
NeuroscienceCellularMolecular Neuroscience
2020English

Corrigendum: A Curiosity-Based Learning Method for Spiking Neural Networks

Frontiers in Computational Neuroscience
NeuroscienceCellularMolecular Neuroscience
2020English

Image Completion Using Spiking Neural Networks

International Journal of Innovative Technology and Exploring Engineering
Mechanics of MaterialsElectronic EngineeringCivilStructural EngineeringElectricalComputer Science
2019English

Implementation of Boolean AND and OR Logic Gates With Biologically Reasonable Time Constants in Spiking Neural Networks

Proceedings of the AAAI Conference on Artificial Intelligence
2019English

Biologically Plausible Boundary Detection

2016English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy