Concepedia

Spike Train Decoding

Spike Train Decoding is a computational method in neuroscience that infers stimulus or behavioral variables from the temporal patterns of action potentials in neuronal spike trains, distinguishing itself from other population coding analyses by its focus on reconstructing input or output variables from the precise timing and structure of individual spikes within a neural ensemble.

90

Publications

5.7K

Citations

267

Authors

144

Institutions

Publications per year

2017–2026

15

Variants

Spike-train Decoding

Parents

Publications

90

A Statistical Paradigm for Neural Spike Train Decoding Applied to Position Prediction from Ensemble Firing Patterns of Rat Hippocampal Place Cells

Emery N. Brown, Loren M. Frank, Dengda Tang et al. · Journal of Neuroscience · 1998 · 615 citations · Full text

, , +17

Decoding Visual Information From a Population of Retinal Ganglion Cells

David K. Warland, Pamela Reinagel, Markus Meister · Journal of Neurophysiology · 1997 · 428 citations

, , +17

Prediction and Decoding of Retinal Ganglion Cell Responses with a Probabilistic Spiking Model

Jonathan W. Pillow, Liam Paninski, Valerie Uzzell et al. · Journal of Neuroscience · 2005 · 399 citations · Full text

, , +17

Competitive STDP-Based Spike Pattern Learning

Timothée Masquelier, Rudy Guyonneau, Simon J. Thorpe · Neural Computation · 2009 · 345 citations

, , +16

A novel algorithm for precise identification of spikes in extracellularly recorded neuronal signals

Alessandro Maccione, Mauro Gandolfo, Paolo Massobrio et al. · Journal of Neuroscience Methods · 2008 · 243 citations

, , +15

1–5 of 90

Authors

267

  1. MA
    Matthew A. Wilson

    Massachusetts Institute of Technology, United States

    4 publications · 842 citations

    4

    h-index

  2. EN
    Emery N. Brown

    Massachusetts General Hospital, United States

    4 publications · 880 citations

    4

    h-index

  3. LP
    Liam Paninski

    Columbia University, United States

    3 publications · 626 citations

    3

    h-index

  4. JW
    Jonathan W. Pillow

    Princeton University, United States

    3 publications · 626 citations

    3

    h-index

  5. PE
    Peter E. Latham

    Oxford Centre for Computational Neuroscience, United Kingdom

    3 publications · 423 citations

    3

    h-index

1–5 of 267

Institutions

144

  1. Centre National de la Recherche Scientifique

    Paris, France

    6 h-index

    12 publications

    909 citations

  2. Massachusetts General Hospital

    Boston, United States

    5 h-index

    11 publications

    2.2K citations

  3. Massachusetts Institute of Technology

    Cambridge, United States

    5 h-index

    10 publications

    2.4K citations

  4. Harvard University

    Cambridge, United States

    5 h-index

    12 publications

    3.4K citations

  5. University of California, Los Angeles

    Los Angeles, United States

    5 h-index

    9 publications

    720 citations

  6. New York University

    New York, United States

    4 h-index

    8 publications

    928 citations

  7. Oxford Centre for Computational Neuroscience

    Oxford, United Kingdom

    3 h-index

    3 publications

    258 citations

  8. Center for the Neural Basis of Cognition

    Pittsburgh, United States

    3 h-index

    5 publications

    165 citations

1–8 of 144

Venues

  1. Neural Computation

    12 publications · 1K citations

    11

    h-index

  2. Journal of Neurophysiology

    JN · 10 publications · 764 citations

    10

    h-index

  3. Journal of Neuroscience Methods

    8 publications · 523 citations

    8

    h-index

  4. Journal of Neuroscience

    5 publications · 1.3K citations

    5

    h-index

  5. Neurocomputing

    4 publications · 126 citations

    4

    h-index

1–5