Recovery of Dynamics and Function in Spiking Neural Networks With Closed-Loop Control

PLoS Computational Biology- United States

doi 10.1371/journal.pcbi.1004720

Full Text

Abstract

Available in

Date

Authors

Publisher

Public Library of Science (PLoS)

Related search

Animal Control by Spiking Neural Networks Evolved With a Genetic Algorithm

BMC Neuroscience
NeuroscienceCellularMolecular Neuroscience
2015English

Effects of Spike Anticipation on the Spiking Dynamics of Neural Networks

Frontiers in Computational Neuroscience
NeuroscienceCellularMolecular Neuroscience
2015English

A Mean-Field Description of Bursting Dynamics in Spiking Neural Networks With Short-Term Adaptation

2019English

A Survey of Robotics Control Based on Learning-Inspired Spiking Neural Networks

Frontiers in Neurorobotics
Biomedical EngineeringArtificial Intelligence
2018English

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

BMC Neuroscience
NeuroscienceCellularMolecular Neuroscience
2012English

Computing of Temporal Information in Spiking Neural Networks With ReRAM Synapses

Faraday Discussions
Theoretical ChemistryPhysical
2019English

Image Completion Using Spiking Neural Networks

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

Open-Loop and Closed-Loop Control of Flying Qubits

Journal of Physics B: Atomic, Molecular and Optical Physics
Condensed Matter PhysicsOpticsAtomicMolecular Physics,
2011English

Error Mapping Controller: A Closed Loop Neuroprosthesis Controlled by Artificial Neural Networks

Journal of NeuroEngineering and Rehabilitation
RehabilitationHealth Informatics
2007English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy