Analysis of Neuronal Spike Trains, Deconstructed (original) (raw)

Neuronal Spike Train Analysis in Likelihood Space

Hamid Soltanian-Zadeh

PLoS ONE, 2011

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Parametric models to relate spike train and LFP dynamics with neural information processing

arpan banerjee

Frontiers in Computational Neuroscience, 2012

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Modeling and analysis of neural spike trains

Sage Chen

Computational intelligence and neuroscience, 2014

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Neural Network Poisson Models for Behavioural and Neural Spike Train Data

Moein Khajehnejad

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Fitting neuron models to spike trains

Cyrille Rossant

Frontiers in …, 2011

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A method for decoding the neurophysiological spike-response transform

Keyla Garcia

Journal of Neuroscience Methods, 2009

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Finding the event structure of neuronal spike trains

Paul Tiesinga

BMC Neuroscience, 2011

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Spike Train Analysis Toolkit: Enabling Wider Application of Information-Theoretic Techniques to Neurophysiology

Jonathan Victor

Neuroinformatics, 2009

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Dimensionality reduction in neural models: An information-theoretic generalization of spike-triggered average and covariance analysis

Eero P Simoncelli

Journal of Vision, 2006

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Estimating a dynamic state to relate neural spiking activity to behavioral signals during cognitive tasks

Wael Asaad

2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015

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Discovering Excitatory Networks from Discrete Event Streams with Applications to Neuronal Spike Train Analysis

Debprakash Patnaik

2009

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Hold Your Methods! How Multineuronal Firing Ensembles Can Be Studied Using Classical Spike-Train Analysis Techniques

Danko Nikolic

Frontiers in Systems Neuroscience, 2019

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On the relations of LFPs & Neural Spike Trains

Jana Schaich Borg

2014

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On the relationship between LFP & spiking data

Jana Schaich Borg

2014

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Predicting Spiking Activities in DLS Neurons with Linear-Nonlinear-Poisson Model

David Barker

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Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes

Byron Yu

Neural Information Processing Systems, 2007

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Spontaneous activity emerging from an inferred network model captures complex spatio-temporal dynamics of spike data

Guido Gigante

Scientific Reports, 2018

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Spikernels: Predicting Arm Movements by Embedding Population Spike Rate Patterns in Inner-Product Spaces

Eilon Vaadia, Lavi Shpigelman

Neural Computation, 2005

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An Empirical Model for Reliable Spiking Activity

wanjie wang

Neural computation, 2015

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Prediction of single neuron spiking activity using an optimized nonlinear dynamic model

Andrzej Manitius

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2012

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Inferring the dynamics of neural populations from single-trial spike trains using mechanistic models

Shailesh Appukuttan

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Empirical models of spiking in neural populations

Byron Yu

2011

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Statistical analysis of large-scale neuronal recording data

Jamie Reed

Neural Networks, 2010

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State-Space Algorithms for Estimating Spike Rate Functions

Wendy Suzuki

Computational Intelligence and Neuroscience, 2010

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Learning In Spike Trains: Estimating Within-Session Changes In Firing Rate Using Weighted Interpolation

vincent ferrera

2016

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A Partial Spectra Method for Predicting Spike Correlations from Local Field Potentials

Hagai Bergman

Advances in Behavioral Biology, 2005

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Single-trial estimation of neuronal firing rates: From single-neuron spike trains to population activity

Stefan Rotter, Martin Nawrot

Journal of Neuroscience Methods, 1999

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Modelling spike trains and extracting response latency with Bayesian binning

Johannes Schindelin, Peter Foldiak

2009

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Biophysical information representation in temporally correlated spike trains

A. Longtin

Proceedings of the National Academy of Sciences, 2010

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Automatic fitting of spiking neuron models to electrophysiological recordings

Cyrille Rossant

Frontiers in Behavioral …, 2010

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