Amanote Research
Register
Sign In
Spike-Time Reliability of Layered Neural Oscillator Networks
doi 10.1063/1.4776521
Full Text
Open PDF
Abstract
Available in
full text
Date
January 1, 2013
Authors
K. K. Lin
E. Shea-Brown
L.-S. Young
Publisher
AIP
Related search
Resonance Effect for Neural Spike Time Reliability
Journal of Neurophysiology
Neuroscience
Physiology
Epileptiform Spike Detection via Convolutional Neural Networks
Corrigendum: Spiking Neural Networks Based on OxRAM Synapses for Real-Time Unsupervised Spike Sorting
Frontiers in Neuroscience
Neuroscience
Equations of Learning and Capacity of Layered Neural Networks
Designing Multi-Layered Neural Networks Using Genetic Algorithm
Transactions of the Society of Instrument and Control Engineers
Effects of Spike Anticipation on the Spiking Dynamics of Neural Networks
Frontiers in Computational Neuroscience
Neuroscience
Cellular
Molecular Neuroscience
Statistics of Spike Trains in Conductance-Based Neural Networks: Rigorous Results
Journal of Mathematical Neuroscience
Neuroscience
Spike Time Dependent Plasticity (STDP) Enabled Learning in Spiking Neural Networks Using Domain Wall Based Synapses and Neurons
AIP Advances
Nanotechnology
Astronomy
Physics
Nanoscience
Finite-Time Synchronization of Inertial Neural Networks
Journal of the Association of Arab Universities for Basic and Applied Sciences