Determinants of Associative Memory Performance in Spiking and Non-Spiking Neural Networks With Different Synaptic Plasticity Regimes

BMC Neuroscience - United Kingdom
doi 10.1186/1471-2202-13-s1-p156
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Science and Business Media LLC

Related search

Associative Learning of Classical Conditioning as an Emergent Property of Spatially Extended Spiking Neural Circuits With Synaptic Plasticity

Frontiers in Computational Neuroscience
NeuroscienceCellularMolecular Neuroscience
2014English

Learning to Generate Sequences With Combination of Hebbian and Non-Hebbian Plasticity in Recurrent Spiking Neural Networks

Frontiers in Neuroscience
Neuroscience
2017English

Exploration of 2-Neuron Memory Units in Spiking Neural Networks

Computer Research and Modeling
Computational TheorySimulationComputer Science ApplicationsModelingMathematics
2020English

Non-Instantaneous Synaptic Transmission in Spiking Neuron Networks and Equivalence With Delay Distribution

BMC Neuroscience
NeuroscienceCellularMolecular Neuroscience
2013English

Image Completion Using Spiking Neural Networks

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

A Novel Analytical Characterization for Short-Term Plasticity Parameters in Spiking Neural Networks

Frontiers in Computational Neuroscience
NeuroscienceCellularMolecular Neuroscience
2014English

Synaptic Plasticity and Connectivity Requirements to Produce Stimulus-Pair Specific Responses in Recurrent Networks of Spiking Neurons

PLoS Computational Biology
Molecular NeuroscienceEvolutionEcologyGeneticsBehaviorMolecular BiologySystematicsSimulationCellularComputational TheoryMathematicsModeling
2011English

Generalized Memory of STDP-Driven Spiking Neural Network

Mathematical Biology and Bioinformatics
Applied MathematicsBiomedical Engineering
2019English

Computing of Temporal Information in Spiking Neural Networks With ReRAM Synapses

Faraday Discussions
Theoretical ChemistryPhysical
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy