Applying the Multivariate Time-Rescaling Theorem to Neural Population Models

Discrete Time Rescaling Theorem: Determining Goodness of Fit for Discrete Time Statistical Models of Neural Spiking

(2010) Robert Haslinger et al.   NEURAL COMPUTATION

Decorrelated Neuronal Firing in Cortical Microcircuits

(2010) A. S. Ecker et al.   SCIENCE

Efficient computation of the maximum a posteriori path and parameter estimation in integrate-and-fire and more general state-space models

(2009) Shinsuke Koyama 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

Generation of Spatiotemporally Correlated Spike Trains and Local Field Potentials Using a Multivariate Autoregressive Process

(2009) Diego A. Gutnisky et al.   JOURNAL OF NEUROPHYSIOLOGY

The Structure of Large-Scale Synchronized Firing in Primate Retina

(2009) J. Shlens et al.   JOURNAL OF NEUROSCIENCE

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

(2009) Wilson Truccolo et al.   NATURE NEUROSCIENCE

Extracting information from neuronal populations: information theory and decoding approaches

(2009) Rodrigo Quian Quiroga et al.   NATURE REVIEWS NEUROSCIENCE

Estimating Instantaneous Irregularity of Neuronal Firing

(2009) Takeaki Shimokawa et al.   NEURAL COMPUTATION

Generation of Spike Trains with Controlled Auto- and Cross-Correlation Functions

(2009) Michael Krumin et al.   NEURAL COMPUTATION

Direct Estimation of Inhomogeneous Markov Interval Models of Spike Trains

(2009) Daniel K. Wójcik et al.   NEURAL COMPUTATION

Mean-Field Approximations for Coupled Populations of Generalized Linear Model Spiking Neurons with Markov Refractoriness

(2009) Taro Toyoizumi et al.   NEURAL COMPUTATION

Beyond Poisson: Increased Spike-Time Regularity across Primate Parietal Cortex

(2009) Gaby Maimon et al.   NEURON

Ising model for neural data: Model quality and approximate methods for extracting functional connectivity

(2009) Yasser Roudi et al.   PHYSICAL REVIEW E

Prediction of Spatiotemporal Patterns of Neural Activity from Pairwise Correlations

(2009) O. Marre et al.   PHYSICAL REVIEW LETTERS

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

How Good Are Neuron Models?

(2009) W. Gerstner et al.   SCIENCE

Analyzing Short-Term Noise Dependencies of Spike-Counts in Macaque Prefrontal Cortex Using Copulas and the Flashlight Transformation

(2009) Arno Onken et al.   PLoS Computational Biology

Inferring functional connections between neurons

(2008) Ian H Stevenson et al.   CURRENT OPINION IN NEUROBIOLOGY

NeuroXidence: reliable and efficient analysis of an excess or deficiency of joint-spike events

(2008) Gordon Pipa et al.   JOURNAL OF COMPUTATIONAL NEUROSCIENCE

Analysis of Between-Trial and Within-Trial Neural Spiking Dynamics

(2008) Gabriela Czanner et al.   JOURNAL OF NEUROPHYSIOLOGY

A Maximum Entropy Model Applied to Spatial and Temporal Correlations from Cortical Networks In Vitro

(2008) A. Tang et al.   JOURNAL OF NEUROSCIENCE

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

(2008) Jonathan W. Pillow et al.   NATURE

Spike Train Probability Models for Stimulus-Driven Leaky Integrate-and-Fire Neurons

(2008) Shinsuke Koyama et al.   NEURAL COMPUTATION

Sequential Optimal Design of Neurophysiology Experiments

(2008) Jeremy Lewi et al.   NEURAL COMPUTATION

Generating Spike Trains with Specified Correlation Coefficients

(2008) Jakob H. Macke et al.   NEURAL COMPUTATION

A benchmark test for a quantitative assessment of simple neuron models

(2007) Renaud Jolivet et al.   JOURNAL OF NEUROSCIENCE METHODS

Valuations for Spike Train Prediction

(2007) Vladimir Itskov et al.   NEURAL COMPUTATION