Cited by 239Neural dynamics and brain functionNeuroscience and Neuropharmacology ResearchMemory and Neural Mechanisms

Relating neuronal firing patterns to functional differentiation of cerebral cortex.

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Shinomoto, Shigeru, Kim, Hideaki, Shimokawa, Takeaki, Matsuno, Nanae, Funahashi, Shintaro, Shima, Keisetsu, Fujita, Ichiro, Tamura, Hiroshi +13 more·2009·PLoS Computational Biology

Abstract

It has been empirically established that the cerebral cortical areas defined by Brodmann one hundred years ago solely on the basis of cellular organization are closely correlated to their function, such as sensation, association, and motion. Cytoarchitectonically distinct cortical areas have different densities and types of neurons. Thus, signaling patterns may also vary among cytoarchitectonically unique cortical areas. To examine how neuronal signaling patterns are related to innate cortical functions, we detected intrinsic features of cortical firing by devising a metric that efficiently isolates non-Poisson irregular characteristics, independent of spike rate fluctuations that are caused extrinsically by ever-changing behavioral conditions. Using the new metric, we analyzed spike trains from over 1,000 neurons in 15 cortical areas sampled by eight independent neurophysiological laboratories. Analysis of firing-pattern dissimilarities across cortical areas revealed a gradient of firing regularity that corresponded closely to the functional category of the cortical area; neuronal spiking patterns are regular in motor areas, random in the visual areas, and bursty in the prefrontal area. Thus, signaling patterns may play an important role in function-specific cerebral cortical computation.

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  1. [5]Abeles M 1991 Corticonics: Neural Circuits of the Cerebral Cortex Cambridge Cambridge University Press

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Authors
Shinomoto, S., Kim, H., Shimokawa, T., Matsuno, N., Funahashi, S., Shima, K., Fujita, I., Tamura, H., Doi, T., Kawano, K., Inaba, N., Fukushima, K., Kurkin, S., Kurata, K., Taira, M., Tsutsui, K.-I., Komatsu, H., Ogawa, T., Koida, K., Tanji, J., & Toyama, K.
Affiliations
  • Kyoto University (JP)
  • Tohoku University (JP)
  • The University of Osaka (JP)
  • Hokkaido University (JP)
  • Hirosaki University (JP)
  • Nihon University (JP)
  • National Institute for Physiological Sciences (JP)
  • Brain Science Institute, Tamagawa University (JP)
  • Advanced Telecommunications Research Institute International (JP)
Corresponding author
Shinomoto, Shigeru
Venue
PLoS Computational Biology
Published
2009-07-10
Volume
5
Issue
7
Pages
e1000433
ISSN
  • 1553-734X (ISSN-L)
  • 1553-7358
OpenAlex
W1978668587
Cited by
239
References
77
Citations by year
2026: 9 · 2025: 19 · 2024: 10 · 2023: 13 · 2022: 15 · 2021: 19 · 2020: 17 · 2019: 15 · 2018: 15 · 2017: 12 · 2016: 10 · 2015: 12 · 2014: 12 · 2013: 17 · 2012: 14
FWCI
6.96
Type
journal article
Language
en
Open access
Locations
  • PLoS Computational Biology (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Institutional Repositories DataBase (IRDB) (submittedVersion)
Funders
  • Ministry of Education, Culture, Sports, Science and Technology
  • Japan Society for the Promotion of Science (20020012)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
Keywords
neuronal firing patterns, cerebral cortex, motor cortex, visual cortex, prefrontal cortex, Brodmann areas, cytoarchitecture
MeSH terms
Action Potentials, Animals, Haplorhini, Brain Mapping, Cerebral Cortex, Models, Neurological, Neurons, Regression Analysis, Cluster Analysis

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