Literature DB >> 14629869

Differences in spiking patterns among cortical neurons.

Shigeru Shinomoto1, Keisetsu Shima, Jun Tanji.   

Abstract

Spike sequences recorded from four cortical areas of an awake behaving monkey were examined to explore characteristics that vary among neurons. We found that a measure of the local variation of interspike intervals, L(V), is nearly the same for every spike sequence for any given neuron, while it varies significantly among neurons. The distributions of L(V) values for neuron ensembles in three of the four areas were found to be distinctly bimodal. Two groups of neurons classified according to the spiking irregularity exhibit different responses to the same stimulus. This suggests that neurons in each area can be classified into different groups possessing unique spiking statistics and corresponding functional properties.

Mesh:

Year:  2003        PMID: 14629869     DOI: 10.1162/089976603322518759

Source DB:  PubMed          Journal:  Neural Comput        ISSN: 0899-7667            Impact factor:   2.026


  51 in total

1.  Comparison of local measures of spike time irregularity and relating variability to firing rate in motor cortical neurons.

Authors:  Adrián Ponce-Alvarez; Bjørg Elisabeth Kilavik; Alexa Riehle
Journal:  J Comput Neurosci       Date:  2009-05-16       Impact factor: 1.621

2.  Task-dependent encoding of space and events by striatal neurons is dependent on neural subtype.

Authors:  N C Schmitzer-Torbert; A D Redish
Journal:  Neuroscience       Date:  2008-03-04       Impact factor: 3.590

3.  A kinetic theory approach to capturing interneuronal correlation: the feed-forward case.

Authors:  Chin-Yueh Liu; Duane Q Nykamp
Journal:  J Comput Neurosci       Date:  2008-11-06       Impact factor: 1.621

4.  Kernel bandwidth optimization in spike rate estimation.

Authors:  Hideaki Shimazaki; Shigeru Shinomoto
Journal:  J Comput Neurosci       Date:  2009-08-05       Impact factor: 1.621

5.  Reward-dependent modulation of neuronal activity in the primate dorsal raphe nucleus.

Authors:  Kae Nakamura; Masayuki Matsumoto; Okihide Hikosaka
Journal:  J Neurosci       Date:  2008-05-14       Impact factor: 6.167

6.  A characterization of the time-rescaled gamma process as a model for spike trains.

Authors:  Takeaki Shimokawa; Shinsuke Koyama; Shigeru Shinomoto
Journal:  J Comput Neurosci       Date:  2009-10-21       Impact factor: 1.621

7.  Cellular Classes in the Human Brain Revealed In Vivo by Heartbeat-Related Modulation of the Extracellular Action Potential Waveform.

Authors:  Clayton P Mosher; Yina Wei; Jan Kamiński; Anirban Nandi; Adam N Mamelak; Costas A Anastassiou; Ueli Rutishauser
Journal:  Cell Rep       Date:  2020-03-10       Impact factor: 9.423

8.  Fractals in the nervous system: conceptual implications for theoretical neuroscience.

Authors:  Gerhard Werner
Journal:  Front Physiol       Date:  2010-07-06       Impact factor: 4.566

9.  Relating neuronal firing patterns to functional differentiation of cerebral cortex.

Authors:  Shigeru Shinomoto; Hideaki Kim; Takeaki Shimokawa; Nanae Matsuno; Shintaro Funahashi; Keisetsu Shima; Ichiro Fujita; Hiroshi Tamura; Taijiro Doi; Kenji Kawano; Naoko Inaba; Kikuro Fukushima; Sergei Kurkin; Kiyoshi Kurata; Masato Taira; Ken-Ichiro Tsutsui; Hidehiko Komatsu; Tadashi Ogawa; Kowa Koida; Jun Tanji; Keisuke Toyama
Journal:  PLoS Comput Biol       Date:  2009-07-10       Impact factor: 4.475

10.  On the Complexity of Resting State Spiking Activity in Monkey Motor Cortex.

Authors:  Paulina Anna Dąbrowska; Nicole Voges; Michael von Papen; Junji Ito; David Dahmen; Alexa Riehle; Thomas Brochier; Sonja Grün
Journal:  Cereb Cortex Commun       Date:  2021-05-18
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