Literature DB >> 23366139

Transductive neural decoding for unsorted neuronal spikes of rat hippocampus.

Zhe Chen1, Fabian Kloosterman, Stuart Layton, Matthew A Wilson.   

Abstract

Neural decoding is an important approach for extracting information from population codes. We previously proposed a novel transductive neural decoding paradigm and applied it to reconstruct the rat's position during navigation based on unsorted rat hippocampal ensemble spiking activity. Here, we investigate several important technical issues of this new paradigm using one data set of one animal. Several extensions of our decoding method are discussed.

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Year:  2012        PMID: 23366139      PMCID: PMC3972894          DOI: 10.1109/EMBC.2012.6346178

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  12 in total

1.  Accuracy of tetrode spike separation as determined by simultaneous intracellular and extracellular measurements.

Authors:  K D Harris; D A Henze; J Csicsvari; H Hirase; G Buzsáki
Journal:  J Neurophysiol       Date:  2000-07       Impact factor: 2.714

2.  On the variability of manual spike sorting.

Authors:  Frank Wood; Michael J Black; Carlos Vargas-Irwin; Matthew Fellows; John P Donoghue
Journal:  IEEE Trans Biomed Eng       Date:  2004-06       Impact factor: 4.538

3.  Spike train decoding without spike sorting.

Authors:  Valérie Ventura
Journal:  Neural Comput       Date:  2008-04       Impact factor: 2.026

4.  An analytical comparison of the information in sorted and non-sorted cosine-tuned spike activity.

Authors:  D S Won; P H E Tiesinga; C S Henriquez; P D Wolf
Journal:  J Neural Eng       Date:  2007-08-06       Impact factor: 5.379

Review 5.  Extracting information from neuronal populations: information theory and decoding approaches.

Authors:  Rodrigo Quian Quiroga; Stefano Panzeri
Journal:  Nat Rev Neurosci       Date:  2009-03       Impact factor: 34.870

6.  Control of a brain-computer interface without spike sorting.

Authors:  George W Fraser; Steven M Chase; Andrew Whitford; Andrew B Schwartz
Journal:  J Neural Eng       Date:  2009-09-01       Impact factor: 5.379

7.  A statistical paradigm for neural spike train decoding applied to position prediction from ensemble firing patterns of rat hippocampal place cells.

Authors:  E N Brown; L M Frank; D Tang; M C Quirk; M A Wilson
Journal:  J Neurosci       Date:  1998-09-15       Impact factor: 6.167

8.  Interpreting neuronal population activity by reconstruction: unified framework with application to hippocampal place cells.

Authors:  K Zhang; I Ginzburg; B L McNaughton; T J Sejnowski
Journal:  J Neurophysiol       Date:  1998-02       Impact factor: 2.714

Review 9.  Probabilistic interpretation of population codes.

Authors:  R S Zemel; P Dayan; A Pouget
Journal:  Neural Comput       Date:  1998-02-15       Impact factor: 2.026

10.  Bayesian decoding using unsorted spikes in the rat hippocampus.

Authors:  Fabian Kloosterman; Stuart P Layton; Zhe Chen; Matthew A Wilson
Journal:  J Neurophysiol       Date:  2013-10-02       Impact factor: 2.714

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  8 in total

1.  Real-Time Readout of Large-Scale Unsorted Neural Ensemble Place Codes.

Authors:  Sile Hu; Davide Ciliberti; Andres D Grosmark; Frédéric Michon; Daoyun Ji; Hector Penagos; György Buzsáki; Matthew A Wilson; Fabian Kloosterman; Zhe Chen
Journal:  Cell Rep       Date:  2018-12-04       Impact factor: 9.423

2.  Rapid classification of hippocampal replay content for real-time applications.

Authors:  Xinyi Deng; Daniel F Liu; Mattias P Karlsson; Loren M Frank; Uri T Eden
Journal:  J Neurophysiol       Date:  2016-08-17       Impact factor: 2.714

3.  Efficient Position Decoding Methods Based on Fluorescence Calcium Imaging in the Mouse Hippocampus.

Authors:  Mengyu Tu; Ruohe Zhao; Avital Adler; Wen-Biao Gan; Zhe S Chen
Journal:  Neural Comput       Date:  2020-04-28       Impact factor: 2.026

4.  A Bayesian nonparametric approach for uncovering rat hippocampal population codes during spatial navigation.

Authors:  Scott W Linderman; Matthew J Johnson; Matthew A Wilson; Zhe Chen
Journal:  J Neurosci Methods       Date:  2016-02-05       Impact factor: 2.390

5.  Deciphering neuronal population codes for acute thermal pain.

Authors:  Zhe Chen; Qiaosheng Zhang; Ai Phuong Sieu Tong; Toby R Manders; Jing Wang
Journal:  J Neural Eng       Date:  2017-04-06       Impact factor: 5.379

6.  Clusterless Decoding of Position from Multiunit Activity Using a Marked Point Process Filter.

Authors:  Xinyi Deng; Daniel F Liu; Kenneth Kay; Loren M Frank; Uri T Eden
Journal:  Neural Comput       Date:  2015-05-14       Impact factor: 2.026

Review 7.  An overview of Bayesian methods for neural spike train analysis.

Authors:  Zhe Chen
Journal:  Comput Intell Neurosci       Date:  2013-11-17

8.  Sums of Spike Waveform Features for Motor Decoding.

Authors:  Jie Li; Zheng Li
Journal:  Front Neurosci       Date:  2017-07-18       Impact factor: 4.677

  8 in total

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