Order-based representation in random networks of cortical neurons.
The wide range of time scales involved in neural excitability and synaptic transmission might lead to ongoing change in the temporal structure of responses to recurring stimulus presentations on a trial-to-trial basis. This is probably the most severe biophysical constraint on putative time-based pr...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2008-11-01
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| Series: | PLoS Computational Biology |
| Online Access: | http://europepmc.org/articles/PMC2580731?pdf=render |
| _version_ | 1811220647189151744 |
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| author | Goded Shahaf Danny Eytan Asaf Gal Einat Kermany Vladimir Lyakhov Christoph Zrenner Shimon Marom |
| author_facet | Goded Shahaf Danny Eytan Asaf Gal Einat Kermany Vladimir Lyakhov Christoph Zrenner Shimon Marom |
| author_sort | Goded Shahaf |
| collection | DOAJ |
| description | The wide range of time scales involved in neural excitability and synaptic transmission might lead to ongoing change in the temporal structure of responses to recurring stimulus presentations on a trial-to-trial basis. This is probably the most severe biophysical constraint on putative time-based primitives of stimulus representation in neuronal networks. Here we show that in spontaneously developing large-scale random networks of cortical neurons in vitro the order in which neurons are recruited following each stimulus is a naturally emerging representation primitive that is invariant to significant temporal changes in spike times. With a relatively small number of randomly sampled neurons, the information about stimulus position is fully retrievable from the recruitment order. The effective connectivity that makes order-based representation invariant to time warping is characterized by the existence of stations through which activity is required to pass in order to propagate further into the network. This study uncovers a simple invariant in a noisy biological network in vitro; its applicability under in vivo constraints remains to be seen. |
| first_indexed | 2024-04-12T07:45:28Z |
| format | Article |
| id | doaj.art-1b2ca22ff6c148a8a1def128837b21f7 |
| institution | Directory Open Access Journal |
| issn | 1553-734X 1553-7358 |
| language | English |
| last_indexed | 2024-04-12T07:45:28Z |
| publishDate | 2008-11-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS Computational Biology |
| spelling | doaj.art-1b2ca22ff6c148a8a1def128837b21f72022-12-22T03:41:43ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582008-11-01411e100022810.1371/journal.pcbi.1000228Order-based representation in random networks of cortical neurons.Goded ShahafDanny EytanAsaf GalEinat KermanyVladimir LyakhovChristoph ZrennerShimon MaromThe wide range of time scales involved in neural excitability and synaptic transmission might lead to ongoing change in the temporal structure of responses to recurring stimulus presentations on a trial-to-trial basis. This is probably the most severe biophysical constraint on putative time-based primitives of stimulus representation in neuronal networks. Here we show that in spontaneously developing large-scale random networks of cortical neurons in vitro the order in which neurons are recruited following each stimulus is a naturally emerging representation primitive that is invariant to significant temporal changes in spike times. With a relatively small number of randomly sampled neurons, the information about stimulus position is fully retrievable from the recruitment order. The effective connectivity that makes order-based representation invariant to time warping is characterized by the existence of stations through which activity is required to pass in order to propagate further into the network. This study uncovers a simple invariant in a noisy biological network in vitro; its applicability under in vivo constraints remains to be seen.http://europepmc.org/articles/PMC2580731?pdf=render |
| spellingShingle | Goded Shahaf Danny Eytan Asaf Gal Einat Kermany Vladimir Lyakhov Christoph Zrenner Shimon Marom Order-based representation in random networks of cortical neurons. PLoS Computational Biology |
| title | Order-based representation in random networks of cortical neurons. |
| title_full | Order-based representation in random networks of cortical neurons. |
| title_fullStr | Order-based representation in random networks of cortical neurons. |
| title_full_unstemmed | Order-based representation in random networks of cortical neurons. |
| title_short | Order-based representation in random networks of cortical neurons. |
| title_sort | order based representation in random networks of cortical neurons |
| url | http://europepmc.org/articles/PMC2580731?pdf=render |
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