An Overview of Bayesian Methods for Neural Spike Train Analysis

A Bayesian approach for characterizing direction tuning curves in the supplementary motor area of behaving monkeys

(2013) Hadas Taubman et al.   JOURNAL OF NEUROPHYSIOLOGY

Bayesian decoding using unsorted spikes in the rat hippocampus

(2013) Fabian Kloosterman et al.   JOURNAL OF NEUROPHYSIOLOGY

Spatio-temporal spike train analysis for large scale networks using the maximum entropy principle and Monte Carlo method

(2013) Hassan Nasser et al.   JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT

A jump-start for electroceuticals

(2013) Kristoffer Famm et al.   NATURE

Reading and writing the neural code

(2013) Garrett B Stanley   NATURE NEUROSCIENCE

Neural Representation of Spatial Topology in the Rodent Hippocampus

(2013) Zhe Chen et al.   NEURAL COMPUTATION

A Bayesian framework for simultaneously modeling neural and behavioral data

(2013) Brandon M. Turner et al.   NEUROIMAGE

Uncovering spatial topology represented by rat hippocampal population neuronal codes

(2012) Zhe Chen et al.   JOURNAL OF COMPUTATIONAL NEUROSCIENCE

A Bayesian approach for inferring neuronal connectivity from calcium fluorescent imaging data

(2011) Yuriy Mishchenko et al.   Annals of Applied Statistics

Assessment of synchrony in multiple neural spike trains using loglinear point process models

(2011) Robert E. Kass et al.   Annals of Applied Statistics

Functional Connectivity Dynamics Among Cortical Neurons: A Dependence Analysis

(2011) Lin Li et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

Decoding 3D reach and grasp from hybrid signals in motor and premotor cortices: spikes, multiunit activity, and local field potentials

(2011) Arjun K. Bansal et al.   JOURNAL OF NEUROPHYSIOLOGY

Incorporating Naturalistic Correlation Structure Improves Spectrogram Reconstruction from Neuronal Activity in the Songbird Auditory Midbrain

(2011) A. D. Ramirez et al.   JOURNAL OF NEUROSCIENCE

An alternative view of variational Bayes and asymptotic approximations of free energy

(2011) Kazuho Watanabe   MACHINE LEARNING

How advances in neural recording affect data analysis

(2011) Ian H Stevenson et al.   NATURE NEUROSCIENCE

Neuronal Spike Train Analysis in Likelihood Space

(2011) Yousef Salimpour et al.   PLoS One

Fast, Scalable, Bayesian Spike Identification for Multi-Electrode Arrays

(2011) Jason S. Prentice et al.   PLoS One

An adaptive approach to Langevin MCMC

(2011) Tristan Marshall et al.   STATISTICS AND COMPUTING

Statistical Analysis of Multi-Cell Recordings: Linking Population Coding Models to Experimental Data

(2011) Jakob Macke et al.   Frontiers in Computational Neuroscience

Receptive Field Inference with Localized Priors

(2011) Mijung Park et al.   PLoS Computational Biology

A Granger Causality Measure for Point Process Models of Ensemble Neural Spiking Activity

(2011) Sanggyun Kim et al.   PLoS Computational Biology

Bayesian Nonparametric Methods for Learning Markov Switching Processes

(2010) Emily Fox et al.   IEEE SIGNAL PROCESSING MAGAZINE

Information Theory and Neural Information Processing

(2010) Don H. Johnson   IEEE TRANSACTIONS ON INFORMATION THEORY

Statistical Inference for Assessing Functional Connectivity of Neuronal Ensembles With Sparse Spiking Data

(2010) Zhe Chen et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

Transfer entropy—a model-free measure of effective connectivity for the neurosciences

(2010) Raul Vicente et al.   JOURNAL OF COMPUTATIONAL NEUROSCIENCE

Fast Nonnegative Deconvolution for Spike Train Inference From Population Calcium Imaging

(2010) Joshua T. Vogelstein et al.   JOURNAL OF NEUROPHYSIOLOGY

Kalman filter mixture model for spike sorting of non-stationary data

(2010) Ana Calabrese et al.   JOURNAL OF NEUROSCIENCE METHODS

Approximate Methods for State-Space Models

(2010) Shinsuke Koyama et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

A Computationally Efficient Method for Nonparametric Modeling of Neural Spiking Activity with Point Processes

(2010) Todd P. Coleman et al.   NEURAL COMPUTATION

Efficient Markov Chain Monte Carlo Methods for Decoding Neural Spike Trains

(2010) Yashar Ahmadian et al.   NEURAL COMPUTATION

Model-Based Decoding, Information Estimation, and Change-Point Detection Techniques for Multineuron Spike Trains

(2010) Jonathan W. Pillow et al.   NEURAL COMPUTATION

Signal Processing for Neural Spike Trains

(2010) Theodore W. Berger et al.   Computational Intelligence and Neuroscience

Bayesian decoding of neural spike trains

(2009) Shinsuke Koyama et al.   ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS

Simulation-based model selection for dynamical systems in systems and population biology

(2009) Tina Toni et al.   BIOINFORMATICS

Spike Inference from Calcium Imaging Using Sequential Monte Carlo Methods

(2009) Joshua T. Vogelstein et al.   BIOPHYSICAL JOURNAL

Second-Order Latent-Space Variational Bayes for Approximate Bayesian Inference

(2009) Jaemo Sung et al.   IEEE SIGNAL PROCESSING LETTERS

Neural Decoding of Hand Motion Using a Linear State-Space Model With Hidden States

(2009) Wei Wu et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

Feature extraction from spike trains with Bayesian binning: ‘Latency is where the signal starts’

(2009) Dominik Endres et al.   JOURNAL OF COMPUTATIONAL NEUROSCIENCE

A new look at state-space models for neural data

(2009) Liam Paninski et al.   JOURNAL OF COMPUTATIONAL NEUROSCIENCE

Gaussian-Process Factor Analysis for Low-Dimensional Single-Trial Analysis of Neural Population Activity

(2009) Byron M. Yu et al.   JOURNAL OF NEUROPHYSIOLOGY

Hierarchical Bayesian Modeling and Markov Chain Monte Carlo Sampling for Tuning-Curve Analysis

(2009) Beau Cronin et al.   JOURNAL OF NEUROPHYSIOLOGY

Collective dynamics in human and monkey sensorimotor cortex: predicting single neuron spikes

(2009) Wilson Truccolo et al.   NATURE NEUROSCIENCE

Bayesian k-Means as a “Maximization-Expectation” Algorithm

(2009) Kenichi Kurihara et al.   NEURAL COMPUTATION

Automatic Spike Sorting Using Tuning Information

(2009) Valérie Ventura   NEURAL COMPUTATION

On the Use of Dynamic Bayesian Networks in Reconstructing Functional Neuronal Networks from Spike Train Ensembles

(2009) Seif Eldawlatly et al.   NEURAL COMPUTATION

Traditional waveform based spike sorting yields biased rate code estimates

(2009) V. Ventura   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Ruling out and ruling in neural codes

(2009) A. L. Jacobs et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

State-Space Algorithms for Estimating Spike Rate Functions

(2009) Anne C. Smith et al.   Computational Intelligence and Neuroscience

Bayesian Inference of Functional Connectivity and Network Structure From Spikes

(2008) I.H. Stevenson et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

Latent-Space Variational Bayes

(2008) Jaemo Sung et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Variational Bayesian Filtering

(2008) V. Smidl et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Primary Motor Cortex Tuning to Intended Movement Kinematics in Humans with Tetraplegia

(2008) W. Truccolo et al.   JOURNAL OF NEUROSCIENCE

Spike sorting with hidden Markov models

(2008) Joshua A. Herbst et al.   JOURNAL OF NEUROSCIENCE METHODS

A nonparametric Bayesian alternative to spike sorting

(2008) Frank Wood et al.   JOURNAL OF NEUROSCIENCE METHODS

Spatio-temporal correlations and visual signalling in a complete neuronal population

(2008) Jonathan W. Pillow et al.   NATURE

Population imaging of ongoing neuronal activity in the visual cortex of awake rats

(2008) David S Greenberg et al.   NATURE NEUROSCIENCE

Spike Train Decoding Without Spike Sorting

(2007) Valérie Ventura   NEURAL COMPUTATION