List of works - Liam Paninski

25th Annual Computational Neuroscience Meeting: CNS-2016

scientific article

A Bayesian compressed-sensing approach for reconstructing neural connectivity from subsampled anatomical data ⬇️

scientific article published on March 22, 2012

A Generalized Linear Model for Estimating Spectrotemporal Receptive Fields from Responses to Natural Sounds ⬇️

scientific article published on January 11, 2011

A generalized linear model of the impact of direct and indirect inputs to the lateral geniculate nucleus ⬇️

scientific article published on August 24, 2010

A new look at state-space models for neural data

scientific article

Anxiety Cells in a Hippocampal-Hypothalamic Circuit

scientific article published on 30 January 2018

Asymptotic theory of information-theoretic experimental design

scientific article published in July 2005

Automated scalable segmentation of neurons from multispectral images ⬇️

scientific article published in January 2016

Automating the design of informative sequences of sensory stimuli

scientific article

Bayesian Sparse Regression Analysis Documents the Diversity of Spinal Inhibitory Interneurons

scientific article published on 2 March 2016

Bayesian image recovery for dendritic structures under low signal-to-noise conditions

scientific article

Bayesian methods for event analysis of intracellular currents ⬇️

scientific article

Common-input models for multiple neural spike-train data

scientific article

Community-based benchmarking improves spike rate inference from two-photon calcium imaging data.

scientific article published on 21 May 2018

Computing loss of efficiency in optimal Bayesian decoders given noisy or incomplete spike trains

scientific article

Convergence properties of three spike-triggered analysis techniques

scientific article

Decoding arm and hand movements across layers of the macaque frontal cortices

scientific article

Designing optimal stimuli to control neuronal spike timing

scientific article

EMG prediction from motor cortical recordings via a nonnegative point-process filter

scientific article

Efficient "Shotgun" Inference of Neural Connectivity from Highly Sub-sampled Activity Data

scientific article (publication date: October 2015)

Efficient Markov chain Monte Carlo methods for decoding neural spike trains

scientific article published on 21 October 2010

Efficient coding of spatial information in the primate retina

scientific article

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

scientific article

Efficient estimation of detailed single-neuron models

scientific article published on 19 April 2006

Efficient model-based design of neurophysiological experiments

scientific article published in January 2006

Efficient, adaptive estimation of two-dimensional firing rate surfaces via Gaussian process methods ⬇️

scientific article published on January 1, 2010

Encoder-decoder optimization for brain-computer interfaces

scientific article

Fast Active Set Methods for Online Spike Inference from Calcium Imaging ⬇️

scientific article published in January 2016

Fast Kalman filtering on quasilinear dendritic trees

scientific article published on 27 November 2009

Fast inference in generalized linear models via expected log-likelihoods

scientific article published on 6 July 2013

Fast nonnegative deconvolution for spike train inference from population calcium imaging

scientific article

Fast online deconvolution of calcium imaging data ⬇️

scientific article

Fast spatiotemporal smoothing of calcium measurements in dendritic trees

scientific article

Fast state-space methods for inferring dendritic synaptic connectivity

scientific article published in June 2014

Functional connectivity in the retina at the resolution of photoreceptors

scientific article published on October 2010

Hidden Markov Models for the Stimulus-Response Relationships of Multistate Neural Systems ⬇️

scientific article published on February 7, 2011

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

scientific article published on March 9, 2011

Inferring input nonlinearities in neural encoding models

scientific article published in January 2008

Inferring synaptic inputs given a noisy voltage trace via sequential Monte Carlo methods ⬇️

scientific article published on November 17, 2011

Instant neural control of a movement signal

scientific article

Integral equation methods for computing likelihoods and their derivatives in the stochastic integrate-and-fire model

scientific article

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

scientific article

Linear dynamical neural population models through nonlinear embeddings ⬇️

scientific article published in January 2016

Linear encoding of muscle activity in primary motor cortex and cerebellum

scientific article published on 21 June 2006

Mapping nonlinear receptive field structure in primate retina at single cone resolution

scientific article

Maximally reliable Markov chains under energy constraints

scientific article

Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding model

scientific article published in December 2004

Maximum likelihood estimation of cascade point-process neural encoding models

scientific article published in November 2004

Mean-field approximations for coupled populations of generalized linear model spiking neurons with Markov refractoriness

scientific article published in May 2009

Model-based decoding, information estimation, and change-point detection techniques for multineuron spike trains

scientific article published on 21 October 2010

Modeling the impact of common noise inputs on the network activity of retinal ganglion cells

scientific article published on 29 December 2011

Multi-scale approaches for high-speed imaging and analysis of large neural populations

scientific article

Neural Networks for Efficient Bayesian Decoding of Natural Images from Retinal Neurons ⬇️

scientific article published in January 2017

Neural decoding of hand motion using a linear state-space model with hidden states

scientific article published on 2 June 2009

Neuroprosthetic Decoder Training as Imitation Learning ⬇️

scientific article (publication date: May 2016)

OnACID: Online Analysis of Calcium Imaging Data in Real Time ⬇️

scientific article published in January 2017

Optimal experimental design for sampling voltage on dendritic trees in the low-SNR regime ⬇️

scientific article published on August 23, 2011

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

scientific article published on 30 March 2010

Primacy of Flexor Locomotor Pattern Revealed by Ancestral Reversion of Motor Neuron Identity

scientific article

Robustness of neuroprosthetic decoding algorithms

scientific article published in March 2003

Sequential movement representations based on correlated neuronal activity

scientific article published on 19 February 2003

Sequential optimal design of neurophysiology experiments

scientific article published in March 2009

Simultaneous Denoising, Deconvolution, and Demixing of Calcium Imaging Data

scientific article

Simultaneous Multi-plane Imaging of Neural Circuits

scientific article

Smoothing of, and parameter estimation from, noisy biophysical recordings

scientific article (publication date: May 2009)

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

scientific article published on 23 July 2008

Spatiotemporal receptive fields of barrel cortex revealed by reverse correlation of synaptic input

scientific article

Spatiotemporal tuning of motor cortical neurons for hand position and velocity

scientific article published on 17 September 2003

Statistical models for neural encoding, decoding, and optimal stimulus design

scientific article published on January 2007

Temporal Precision in the Visual Pathway through the Interplay of Excitation and Stimulus-Driven Suppression ⬇️

scientific article published on August 3, 2011

The most likely voltage path and large deviations approximations for integrate-and-fire neurons

scientific article published on 22 April 2006

The relationship between optimal and biologically plausible decoding of stimulus velocity in the retina

scientific article published on November 2009

The spike-triggered average of the integrate-and-fire cell driven by gaussian white noise

scientific article

YASS: Yet Another Spike Sorter ⬇️

scientific article published in January 2017

List of works by Liam Paninski

25th Annual Computational Neuroscience Meeting: CNS-2016

A Bayesian compressed-sensing approach for reconstructing neural connectivity from subsampled anatomical data ⬇️

A Generalized Linear Model for Estimating Spectrotemporal Receptive Fields from Responses to Natural Sounds ⬇️

A generalized linear model of the impact of direct and indirect inputs to the lateral geniculate nucleus ⬇️

A new look at state-space models for neural data

Anxiety Cells in a Hippocampal-Hypothalamic Circuit

Asymptotic theory of information-theoretic experimental design

Automated scalable segmentation of neurons from multispectral images ⬇️

Automating the design of informative sequences of sensory stimuli

Bayesian Sparse Regression Analysis Documents the Diversity of Spinal Inhibitory Interneurons

Bayesian image recovery for dendritic structures under low signal-to-noise conditions

Bayesian methods for event analysis of intracellular currents ⬇️

Common-input models for multiple neural spike-train data

Community-based benchmarking improves spike rate inference from two-photon calcium imaging data.

Computing loss of efficiency in optimal Bayesian decoders given noisy or incomplete spike trains

Convergence properties of three spike-triggered analysis techniques

Decoding arm and hand movements across layers of the macaque frontal cortices

Designing optimal stimuli to control neuronal spike timing

EMG prediction from motor cortical recordings via a nonnegative point-process filter

Efficient "Shotgun" Inference of Neural Connectivity from Highly Sub-sampled Activity Data

Efficient Markov chain Monte Carlo methods for decoding neural spike trains

Efficient coding of spatial information in the primate retina

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

Efficient estimation of detailed single-neuron models

Efficient model-based design of neurophysiological experiments

Efficient, adaptive estimation of two-dimensional firing rate surfaces via Gaussian process methods ⬇️

Encoder-decoder optimization for brain-computer interfaces

Fast Active Set Methods for Online Spike Inference from Calcium Imaging ⬇️

Fast Kalman filtering on quasilinear dendritic trees

Fast inference in generalized linear models via expected log-likelihoods

Fast nonnegative deconvolution for spike train inference from population calcium imaging

Fast online deconvolution of calcium imaging data ⬇️

Fast spatiotemporal smoothing of calcium measurements in dendritic trees

Fast state-space methods for inferring dendritic synaptic connectivity

Functional connectivity in the retina at the resolution of photoreceptors

Hidden Markov Models for the Stimulus-Response Relationships of Multistate Neural Systems ⬇️

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

Inferring input nonlinearities in neural encoding models

Inferring synaptic inputs given a noisy voltage trace via sequential Monte Carlo methods ⬇️

Instant neural control of a movement signal

Integral equation methods for computing likelihoods and their derivatives in the stochastic integrate-and-fire model

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

Linear dynamical neural population models through nonlinear embeddings ⬇️

Linear encoding of muscle activity in primary motor cortex and cerebellum

Mapping nonlinear receptive field structure in primate retina at single cone resolution

Maximally reliable Markov chains under energy constraints

Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding model

Maximum likelihood estimation of cascade point-process neural encoding models

Mean-field approximations for coupled populations of generalized linear model spiking neurons with Markov refractoriness

Model-based decoding, information estimation, and change-point detection techniques for multineuron spike trains

Modeling the impact of common noise inputs on the network activity of retinal ganglion cells

Multi-scale approaches for high-speed imaging and analysis of large neural populations

Neural Networks for Efficient Bayesian Decoding of Natural Images from Retinal Neurons ⬇️

Neural decoding of hand motion using a linear state-space model with hidden states

Neuroprosthetic Decoder Training as Imitation Learning ⬇️

OnACID: Online Analysis of Calcium Imaging Data in Real Time ⬇️

Optimal experimental design for sampling voltage on dendritic trees in the low-SNR regime ⬇️

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

Primacy of Flexor Locomotor Pattern Revealed by Ancestral Reversion of Motor Neuron Identity

Robustness of neuroprosthetic decoding algorithms

Sequential movement representations based on correlated neuronal activity

Sequential optimal design of neurophysiology experiments

Simultaneous Denoising, Deconvolution, and Demixing of Calcium Imaging Data

Simultaneous Multi-plane Imaging of Neural Circuits

Smoothing of, and parameter estimation from, noisy biophysical recordings

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

Spatiotemporal receptive fields of barrel cortex revealed by reverse correlation of synaptic input

Spatiotemporal tuning of motor cortical neurons for hand position and velocity

Statistical models for neural encoding, decoding, and optimal stimulus design

Temporal Precision in the Visual Pathway through the Interplay of Excitation and Stimulus-Driven Suppression ⬇️

The most likely voltage path and large deviations approximations for integrate-and-fire neurons

The relationship between optimal and biologically plausible decoding of stimulus velocity in the retina

The spike-triggered average of the integrate-and-fire cell driven by gaussian white noise

YASS: Yet Another Spike Sorter ⬇️