Theory of spike correlations: a formal description of input and output correlations in spiking neurons

Theory of spike correlations: a formal description of input and output correlations in spiking neurons

Bibliographic Details
Main Authors:	Moreno-Bote Rubén, Parga Néstor
Format:	Article
Language:	English
Published:	BMC 2007-07-01
Series:	BMC Neuroscience

Similar Items

Response of integrate-and-fire neurons to noisy inputs filtered by synapses with arbitrary timescales: firing rate and correlations
by: Moreno-Bote Rubén, et al.
Published: (2009-07-01)

Method for training a spiking neuron to associate input-output spike trains
by: Mohemmed, A, et al.
Published: (2011)

Correlation transmission of spiking neurons is boosted by synchronous input
by: Diesmann Markus, et al.
Published: (2011-07-01)

The neuronal response at extended timescales: a linearized spiking input-output relation
by: Daniel eSoudry, et al.
Published: (2014-04-01)

Input-output relation and energy efficiency in the neuron with different spike threshold dynamics
by: Guo-Sheng eYi, et al.
Published: (2015-05-01)

Data driven generation of Purkinje cell spike train correlations to study input output relations in deep cerebellar nuclei neurons
by: Jaeger Dieter, et al.
Published: (2010-07-01)

Motif statistics and spike correlations in neuronal networks
by: Hu Yu, et al.
Published: (2012-07-01)

Correlations of Higher Order in Networks of Spiking Neurons
by: Jovanovic, Stojan
Published: (2016)

Poisson-like spiking in circuits with probabilistic synapses.
by: Rubén Moreno-Bote
Published: (2014-07-01)

For motor outputs, as for sensory inputs, spike timing carries more information than spike rate.
by: Richard Robinson
Published: (2014-12-01)

Optimal correlation codes in populations of noisy spiking neurons
by: Schneidman Elad, et al.
Published: (2009-07-01)

Macroscopic Description for Networks of Spiking Neurons
by: Ernest Montbrió, et al.
Published: (2015-06-01)

How synaptic strength, short-term plasticity, and input synchrony contribute to neuronal spike output
by: Buchholz, M.O, et al.
Published: (2023)

Balanced synaptic input shapes the correlation between neural spike trains.
by: Ashok Litwin-Kumar, et al.
Published: (2011-12-01)

Thermodynamic Formalism in Neuronal Dynamics and Spike Train Statistics
by: Rodrigo Cofré, et al.
Published: (2020-11-01)

Delay selection by spike-timing-dependent plasticity in recurrent networks of spiking neurons receiving oscillatory inputs.
by: Robert R Kerr, et al.
Published: (2013-01-01)

Spiking Correlation Analysis of Synchronous Spikes Evoked by Acupuncture Mechanical Stimulus
by: Qing Qin, et al.
Published: (2020-11-01)

Temporal pairwise spike correlations fully capture single-neuron information
by: Amadeus Dettner, et al.
Published: (2016-12-01)

Studies of oscillator neural networks modeling the time correlation of neuronal spikes
by: Nomura, Masaki
Published: (2011)

An information-theoretic study of neuronal spike correlations in the mammalian cerebral cortex
by: Montani, Fernando
Published: (2008)

Adaptation shapes spike train correlations: theory and application to tinnitus
by: Koch Ocker Gabriel, et al.
Published: (2012-07-01)

Clinical Correlations of EEG Midline Spikes
by: J Gordon Millichap
Published: (2010-11-01)

Control and analysis of spike trains' correlations
by: Shoham Shy, et al.
Published: (2009-07-01)

Spectral analysis of input spike trains by spike-timing-dependent plasticity.
by: Matthieu Gilson, et al.
Published: (2012-01-01)

Spike timing and reliability in cortical pyramidal neurons: effects of EPSC kinetics, input synchronization and background noise on spike timing.
by: Victor M Rodriguez-Molina, et al.
Published: (2007-03-01)

Effect of network structure on spike train correlations in networks of integrate-and-fire neurons
by: Cardanobile Stefano, et al.
Published: (2011-07-01)

Interplay between Graph Topology and Correlations of Third Order in Spiking Neuronal Networks.
by: Stojan Jovanović, et al.
Published: (2016-06-01)

Spike threshold dynamics shape the response of subthalamic neurons to cortical input
by: Wilson Charles J, et al.
Published: (2010-07-01)

Computation with spiking neurons
by: Wills, Sebastian Alexander
Published: (2004)

Computing with spiking neurons
by: Frank, Timothy S.
Published: (1998)

Correlation-based analysis and generation of multiple spike trains using Hawkes models with an exogenous input
by: Michael Krumin, et al.
Published: (2010-11-01)

Lateral Information Processing by Spiking Neurons: A Theoretical Model of the Neural Correlate of Consciousness
by: Marc Ebner, et al.
Published: (2011-01-01)

Resonant response of a Hodgkin-Huxley neuron to a spike train input
by: Borkowski Lech S
Published: (2009-07-01)

Correlation-based approach to analysis of spiking networks
by: Shoham Shy, et al.
Published: (2010-07-01)

Correlation-based spike sorting of multivariate data
by: Larionov Pavel, et al.
Published: (2019-09-01)

Dendritic Na+ spikes enable cortical input to drive action potential output from hippocampal CA2 pyramidal neurons
by: Qian Sun, et al.
Published: (2014-11-01)

Coreleased Orexin and Glutamate Evoke Nonredundant Spike Outputs and Computations in Histamine Neurons
by: Cornelia Schöne, et al.
Published: (2014-05-01)

Clustering predicts memory performance in networks of spiking and non-spiking neurons
by: Weiliang eChen, et al.
Published: (2011-03-01)

Prospective Coding by Spiking Neurons.
by: Johanni Brea, et al.
Published: (2016-06-01)

An artificial spiking quantum neuron
by: Lasse Bjørn Kristensen, et al.
Published: (2021-04-01)