Autoregressive Point Processes as Latent State-Space Models: A Moment-Closure Approach to Fluctuations and Autocorrelations

Dissociation between sustained single-neuron spiking and transient β-LFP oscillations in primate motor cortex

(2017) Michael E. Rule et al.   JOURNAL OF NEUROPHYSIOLOGY

Approximation and inference methods for stochastic biochemical kinetics—a tutorial review

(2017) David Schnoerr et al.   Journal of Physics A-Mathematical and Theoretical

Fully integrated silicon probes for high-density recording of neural activity

(2017) James J. Jun et al.   NATURE

Capturing the Dynamical Repertoire of Single Neurons with Generalized Linear Models

(2017) Alison I. Weber et al.   NEURAL COMPUTATION

Variational Latent Gaussian Process for Recovering Single-Trial Dynamics from Population Spike Trains

(2017) Yuan Zhao et al.   NEURAL COMPUTATION

On the stability and dynamics of stochastic spiking neuron models: Nonlinear Hawkes process and point process GLMs

(2017) Felipe Gerhard et al.   PLoS Computational Biology

Inference and Decoding of Motor Cortex Low-Dimensional Dynamics via Latent State-Space Models

(2016) Mehdi Aghagolzadeh et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

From point process observations to collective neural dynamics: Nonlinear Hawkes process GLMs, low-dimensional dynamics and coarse graining

(2016) Wilson Truccolo   JOURNAL OF PHYSIOLOGY-PARIS

Sparse Approximate Inference for Spatio-Temporal Point Process Models

(2016) Botond Cseke et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Cox process representation and inference for stochastic reaction–diffusion processes

(2016) David Schnoerr et al.   Nature Communications

Comparison of different moment-closure approximations for stochastic chemical kinetics

(2015) David Schnoerr et al.   JOURNAL OF CHEMICAL PHYSICS

Particle systems with a singular mean-field self-excitation. Application to neuronal networks

(2015) F. Delarue et al.   STOCHASTIC PROCESSES AND THEIR APPLICATIONS

Validity conditions for moment closure approximations in stochastic chemical kinetics

(2014) David Schnoerr et al.   JOURNAL OF CHEMICAL PHYSICS

Saliency and Saccade Encoding in the Frontal Eye Field During Natural Scene Search

(2013) Hugo L. Fernandes et al.   CEREBRAL CORTEX

A general moment expansion method for stochastic kinetic models

(2013) Angelique Ale et al.   JOURNAL OF CHEMICAL PHYSICS

Fast inference in generalized linear models via expected log-likelihoods

(2013) Alexandro D. Ramirez et al.   JOURNAL OF COMPUTATIONAL NEUROSCIENCE

Following the ontogeny of retinal waves: pan-retinal recordings of population dynamics in the neonatal mouse

(2013) Alessandro Maccione et al.   JOURNAL OF PHYSIOLOGY-LONDON

Neural population dynamics during reaching

(2012) Mark M. Churchland et al.   NATURE

Population decoding of motor cortical activity using a generalized linear model with hidden states

(2010) Vernon Lawhern et al.   JOURNAL OF NEUROSCIENCE METHODS

Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations

(2009) Håvard Rue et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

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

(2009) Wilson Truccolo et al.   NATURE NEUROSCIENCE

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

(2009) Taro Toyoizumi et al.   NEURAL COMPUTATION