Generation of Synthetic Spike Trains with Defined Pairwise Correlations
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Publication:5457582
DOI10.1162/neco.2007.19.7.1720zbMath1146.68430OpenAlexW2025962563WikidataQ42741803 ScholiaQ42741803MaRDI QIDQ5457582
Publication date: 14 April 2008
Published in: Neural Computation (Search for Journal in Brave)
Full work available at URL: http://europepmc.org/articles/pmc2633732
Related Items (11)
Generation of Spike Trains with Controlled Auto- and Cross-Correlation Functions ⋮ Impact of Correlated Neural Activity on Decision-Making Performance ⋮ Exact Solutions for Rate and Synchrony in Recurrent Networks of Coincidence Detectors ⋮ Applying the Multivariate Time-Rescaling Theorem to Neural Population Models ⋮ Conditional Mixture Model for Correlated Neuronal Spikes ⋮ Generation of Correlated Spike Trains ⋮ Generating Spike Trains with Specified Correlation Coefficients ⋮ Measure of Correlation Orthogonal to Change in Firing Rate ⋮ A general method to generate artificial spike train populations matching recorded neurons ⋮ Unnamed Item ⋮ Unnamed Item
Cites Work
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- Information Theory and Statistical Mechanics
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- Synaptic Depression Leads to Nonmonotonic Frequency Dependence in the Coincidence Detector
- Information-Geometric Measure for Neural Spikes
- The Effects of Input Rate and Synchrony on a Coincidence Detector: Analytical Solution
- Rapid Temporal Modulation of Synchrony by Competition in Cortical Interneuron Networks
- The Effect of a Refractory Period on the Power Spectrum of Neuronal Discharge
- Rate and Synchrony in Feedforward Networks of Coincidence Detectors: Analytical Solution
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