Sökresultat - Liam Paninski

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  1. 1
    Neural data science: accelerating the experiment-analysis-theory cycle in large-scale neuroscience

    Neural data science: accelerating the experiment-analysis-theory cycle in large-scale neuroscience av Liam Paninski, JP Cunningham

    Publicerad 2018
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  2. 2
    A Bayesian approach for inferring neuronal connectivity from calcium fluorescent imaging data

    A Bayesian approach for inferring neuronal connectivity from calcium fluorescent imaging data av Yuriy Mishchenko, Joshua T Vogelstein, Liam Paninski

    Publicerad 2011
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  3. 3
    Smoothing of, and Parameter Estimation from, Noisy Biophysical Recordings

    Smoothing of, and Parameter Estimation from, Noisy Biophysical Recordings av Quentin J. M. Huys, Liam Paninski

    Publicerad 2009
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  4. 4
    Fast online deconvolution of calcium imaging data

    Fast online deconvolution of calcium imaging data av Johannes Friedrich, Pengcheng Zhou, Liam Paninski

    Publicerad 2017
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  5. 5
    Model-Based Decoding, Information Estimation, and Change-Point Detection Techniques for Multineuron Spike Trains

    Model-Based Decoding, Information Estimation, and Change-Point Detection Techniques for Multineuron Spike Trains av Jonathan W. Pillow, Yashar Ahmadian, Liam Paninski

    Publicerad 2010
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  6. 6
    Sequential Optimal Design of Neurophysiology Experiments

    Sequential Optimal Design of Neurophysiology Experiments av Jeremy Lewi, Robert J. Butera, Liam Paninski

    Publicerad 2008
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  7. 7
    Efficient Markov Chain Monte Carlo Methods for Decoding Neural Spike Trains

    Efficient Markov Chain Monte Carlo Methods for Decoding Neural Spike Trains av Yashar Ahmadian, Jonathan W. Pillow, Liam Paninski

    Publicerad 2010
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  8. 8
    Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Encoding Model

    Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Encoding Model av Liam Paninski, Jonathan W. Pillow, Eero P. Simoncelli

    Publicerad 2004
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  9. 9
    Bayesian spike inference from calcium imaging data

    Bayesian spike inference from calcium imaging data av Eftychios A. Pnevmatikakis, Josh Merel, Ari Pakman, Liam Paninski

    Publicerad 2013
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  10. 10
    Designing optimal stimuli to control neuronal spike timing

    Designing optimal stimuli to control neuronal spike timing av Yashar Ahmadian, Adam M. Packer, Rafael Yuste, Liam Paninski

    Publicerad 2011
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  11. 11
    Neural Decoding of Hand Motion Using a Linear State-Space Model With Hidden States

    Neural Decoding of Hand Motion Using a Linear State-Space Model With Hidden States av Wei Wu, Jayant Kulkarni, Nicholas G. Hatsopoulos, Liam Paninski

    Publicerad 2009
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  12. 12
    Linear dynamical neural population models through nonlinear embeddings

    Linear dynamical neural population models through nonlinear embeddings av Yuanjun Gao, Evan Archer, Liam Paninski, John P. Cunningham

    Publicerad 2016
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  13. 13
    Population decoding of motor cortical activity using a generalized linear model with hidden states

    Population decoding of motor cortical activity using a generalized linear model with hidden states av Vernon J. Lawhern, Wei Wu, Nicholas G. Hatsopoulos, Liam Paninski

    Publicerad 2010
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  14. 14
    Reinforcement Learning Recruits Somata and Apical Dendrites across Layers of Primary Sensory Cortex

    Reinforcement Learning Recruits Somata and Apical Dendrites across Layers of Primary Sensory Cortex av Clay Lacefield, Eftychios A. Pnevmatikakis, Liam Paninski, Randy M. Bruno

    Publicerad 2019
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  15. 15
    Encoder-Decoder Optimization for Brain-Computer Interfaces

    Encoder-Decoder Optimization for Brain-Computer Interfaces av Josh Merel, Donald M. Pianto, John P. Cunningham, Liam Paninski

    Publicerad 2015
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  16. 16
    Information about movement direction obtained from synchronous activity of motor cortical neurons

    Information about movement direction obtained from synchronous activity of motor cortical neurons av Nicholas G. Hatsopoulos, Catherine L. Ojakangas, Liam Paninski, John P. Donoghue

    Publicerad 1998
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  17. 17
    Rarely categorical, always high-dimensional: how the neural code changes along the cortical hierarchy

    Rarely categorical, always high-dimensional: how the neural code changes along the cortical hierarchy av Lorenzo Posani, Shuqi Wang, Samuel P. Muscinelli, Liam Paninski, Stefano Fusi

    Publicerad 2024
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  18. 18
    Temporal Precision in the Visual Pathway through the Interplay of Excitation and Stimulus-Driven Suppression

    Temporal Precision in the Visual Pathway through the Interplay of Excitation and Stimulus-Driven Suppression av Daniel A. Butts, Chong Weng, Jianzhong Jin, José‐Manuel Alonso, Liam Paninski

    Publicerad 2011
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  19. 19
    Superlinear Population Encoding of Dynamic Hand Trajectory in Primary Motor Cortex

    Superlinear Population Encoding of Dynamic Hand Trajectory in Primary Motor Cortex av Liam Paninski, Shy Shoham, Matthew Fellows, Nicholas G. Hatsopoulos, John P. Donoghue

    Publicerad 2004
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  20. 20
    Primacy of Flexor Locomotor Pattern Revealed by Ancestral Reversion of Motor Neuron Identity

    Primacy of Flexor Locomotor Pattern Revealed by Ancestral Reversion of Motor Neuron Identity av Timothy A. Machado, Eftychios A. Pnevmatikakis, Liam Paninski, Thomas M. Jessell, Andrew Miri

    Publicerad 2015
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