Adaptation Shapes Spike Train Correlations: Theory and Application to Tinnitus

BMC Neuroscience - United Kingdom
doi 10.1186/1471-2202-13-s1-p146
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Science and Business Media LLC

Related search

How Adaptation Shapes Spike Rate Oscillations in Recurrent Neuronal Networks

Frontiers in Computational Neuroscience
NeuroscienceCellularMolecular Neuroscience
2013English

Effect of Network Structure on Spike Train Correlations in Networks of Integrate-And-Fire Neurons

BMC Neuroscience
NeuroscienceCellularMolecular Neuroscience
2011English

Parametric Estimation of Spike Train Statistics

BMC Neuroscience
NeuroscienceCellularMolecular Neuroscience
2009English

Control and Analysis of Spike Trains' Correlations

BMC Neuroscience
NeuroscienceCellularMolecular Neuroscience
2009English

Using Spike Train Distances to Identify the Most Discriminative Neuronal Subpopulation

BMC Neuroscience
NeuroscienceCellularMolecular Neuroscience
2013English

Motif Statistics and Spike Correlations in Neuronal Networks

BMC Neuroscience
NeuroscienceCellularMolecular Neuroscience
2012English

Reproducing Kernel Hilbert Spaces for Spike Train Analysis

2008 IEEE International Conference on Acoustics, Speech and Signal Processing
2008English

Finite Fourier Transform Theory and Its Application to the Computation of Convolutions, Correlations, and Spectra

1966English

How Computational Technique and Spike Train Properties Affect Coherence Detection

Journal of Neuroscience Methods
Neuroscience
2008English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy