Amanote Research

Amanote Research

    RegisterSign In

Coding Properties of Spiking Neurons: Reverse and Cross-Correlations

Neural Networks - United Kingdom
doi 10.1016/s0893-6080(01)00053-3
Full Text
Open PDF
Abstract

Available in full text

Categories
Artificial IntelligenceCognitive Neuroscience
Date

July 1, 2001

Authors
Wulfram Gerstner
Publisher

Elsevier BV


Related search

Optimal Population Coding by Noisy Spiking Neurons

Proceedings of the National Academy of Sciences of the United States of America
Multidisciplinary
2010English

Somatic Inhibition Controls Dendritic Selectivity in a Sparse Coding Network of Spiking Neurons

2016English

Spiking Neurons on GPUs

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2006English

Optimization Methods for Spiking Neurons and Networks

IEEE Transactions on Neural Networks
2010English

Noisy Juxtacellular Stimulation in Vivo Leads to Reliable Spiking and Reveals High-Frequency Coding in Single Neurons

Journal of Neuroscience
Neuroscience
2016English

Bayesian Population Decoding of Spiking Neurons

Frontiers in Computational Neuroscience
NeuroscienceCellularMolecular Neuroscience
2009English

Macroscopic Description for Networks of Spiking Neurons

Physical Review X
AstronomyPhysics
2015English

Designing Networks of Spiking Silicon Neurons and Synapses

1993English

Differentially Synchronized Spiking Enables Multiplexed Neural Coding

Proceedings of the National Academy of Sciences of the United States of America
Multidisciplinary
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy