Universal Critical Dynamics in High Resolution Neuronal Avalanche Data
The tasks of neural computation are remarkably diverse. To function optimally, neuronal networks have been hypothesized to operate near a nonequilibrium critical point. However, experimental evidence for critical dynamics has been inconclusive. Here, we show that the dynamics of cultured cortical ne...
| Main Authors: | , , , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
American Physical Society
2012
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| Online Access: | http://hdl.handle.net/1721.1/71603 |
| _version_ | 1811089964051464192 |
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| author | Friedman, Nir Ito, Shinya Brinkman, Braden A. W. Shimono, Masanori DeVille, R. E. Lee Dahmen, Karin A. Beggs, John M. Butler, Thomas Charles |
| author2 | Massachusetts Institute of Technology. Department of Chemical Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Chemical Engineering Friedman, Nir Ito, Shinya Brinkman, Braden A. W. Shimono, Masanori DeVille, R. E. Lee Dahmen, Karin A. Beggs, John M. Butler, Thomas Charles |
| author_sort | Friedman, Nir |
| collection | MIT |
| description | The tasks of neural computation are remarkably diverse. To function optimally, neuronal networks have been hypothesized to operate near a nonequilibrium critical point. However, experimental evidence for critical dynamics has been inconclusive. Here, we show that the dynamics of cultured cortical networks are critical. We analyze neuronal network data collected at the individual neuron level using the framework of nonequilibrium phase transitions. Among the most striking predictions confirmed is that the mean temporal profiles of avalanches of widely varying durations are quantitatively described by a single universal scaling function. We also show that the data have three additional features predicted by critical phenomena: approximate power law distributions of avalanche sizes and durations, samples in subcritical and supercritical phases, and scaling laws between anomalous exponents. |
| first_indexed | 2024-09-23T14:28:28Z |
| format | Article |
| id | mit-1721.1/71603 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T14:28:28Z |
| publishDate | 2012 |
| publisher | American Physical Society |
| record_format | dspace |
| spelling | mit-1721.1/716032022-10-01T21:28:17Z Universal Critical Dynamics in High Resolution Neuronal Avalanche Data Friedman, Nir Ito, Shinya Brinkman, Braden A. W. Shimono, Masanori DeVille, R. E. Lee Dahmen, Karin A. Beggs, John M. Butler, Thomas Charles Massachusetts Institute of Technology. Department of Chemical Engineering Massachusetts Institute of Technology. Department of Physics Butler, Thomas Charles Butler, Thomas Charles The tasks of neural computation are remarkably diverse. To function optimally, neuronal networks have been hypothesized to operate near a nonequilibrium critical point. However, experimental evidence for critical dynamics has been inconclusive. Here, we show that the dynamics of cultured cortical networks are critical. We analyze neuronal network data collected at the individual neuron level using the framework of nonequilibrium phase transitions. Among the most striking predictions confirmed is that the mean temporal profiles of avalanches of widely varying durations are quantitatively described by a single universal scaling function. We also show that the data have three additional features predicted by critical phenomena: approximate power law distributions of avalanche sizes and durations, samples in subcritical and supercritical phases, and scaling laws between anomalous exponents. 2012-07-12T19:03:37Z 2012-07-12T19:03:37Z 2012-05 2012-02 Article http://purl.org/eprint/type/JournalArticle 0031-9007 1079-7114 http://hdl.handle.net/1721.1/71603 Friedman, Nir et al. “Universal Critical Dynamics in High Resolution Neuronal Avalanche Data.” Physical Review Letters 108.20 (2012). © 2012 American Physical Society en_US http://dx.doi.org/10.1103/PhysRevLett.108.208102 Physical Review Letters Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf American Physical Society APS |
| spellingShingle | Friedman, Nir Ito, Shinya Brinkman, Braden A. W. Shimono, Masanori DeVille, R. E. Lee Dahmen, Karin A. Beggs, John M. Butler, Thomas Charles Universal Critical Dynamics in High Resolution Neuronal Avalanche Data |
| title | Universal Critical Dynamics in High Resolution Neuronal Avalanche Data |
| title_full | Universal Critical Dynamics in High Resolution Neuronal Avalanche Data |
| title_fullStr | Universal Critical Dynamics in High Resolution Neuronal Avalanche Data |
| title_full_unstemmed | Universal Critical Dynamics in High Resolution Neuronal Avalanche Data |
| title_short | Universal Critical Dynamics in High Resolution Neuronal Avalanche Data |
| title_sort | universal critical dynamics in high resolution neuronal avalanche data |
| url | http://hdl.handle.net/1721.1/71603 |
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