Turning on and off recurrent balanced cortical activity.

@article{citeulike:969252, abstract = {The vast majority of synaptic connections onto neurons in the cerebral cortex arise from other cortical neurons, both excitatory and inhibitory, forming local and distant 'recurrent' networks. Although this is a basic theme of cortical organization, its study has been limited largely to theoretical investigations, which predict that local recurrent networks show a proportionality or balance between recurrent excitation and inhibition, allowing the generation of stable periods of activity. This recurrent activity might underlie such diverse operations as short-term memory, the modulation of neuronal excitability with attention, and the generation of spontaneous activity during sleep. Here we show that local cortical circuits do indeed operate through a proportional balance of excitation and inhibition generated through local recurrent connections, and that the operation of such circuits can generate self-sustaining activity that can be turned on and off by synaptic inputs. These results confirm the long-hypothesized role of recurrent activity as a basic operation of the cerebral cortex.}, address = {Department of Neurobiology, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06510, USA.}, author = {Shu, Y. and Hasenstaub, A. and McCormick, D. A. }, citeulike-article-id = {969252}, doi = {10.1038/nature01616}, issn = {0028-0836}, journal = {Nature}, keywords = {cat, cortex, inhibition, neurophysiology, rat}, month = {May}, number = {6937}, pages = {288--293}, posted-at = {2006-11-30 21:36:44}, priority = {2}, title = {Turning on and off recurrent balanced cortical activity.}, url = {http://dx.doi.org/10.1038/nature01616}, volume = {423}, year = {2003} }

TY - JOUR ID - citeulike:969252 L3 - citeulike-article-id:969252 TI - Turning on and off recurrent balanced cortical activity. JF - Nature VL - 423 IS - 6937 SP - 288 EP - 293 AD - Department of Neurobiology, Yale University School of Medicine, 333 Cedar Street, New Haven, Connecticut 06510, USA. SN - 0028-0836 N2 - The vast majority of synaptic connections onto neurons in the cerebral cortex arise from other cortical neurons, both excitatory and inhibitory, forming local and distant 'recurrent' networks. Although this is a basic theme of cortical organization, its study has been limited largely to theoretical investigations, which predict that local recurrent networks show a proportionality or balance between recurrent excitation and inhibition, allowing the generation of stable periods of activity. This recurrent activity might underlie such diverse operations as short-term memory, the modulation of neuronal excitability with attention, and the generation of spontaneous activity during sleep. Here we show that local cortical circuits do indeed operate through a proportional balance of excitation and inhibition generated through local recurrent connections, and that the operation of such circuits can generate self-sustaining activity that can be turned on and off by synaptic inputs. These results confirm the long-hypothesized role of recurrent activity as a basic operation of the cerebral cortex. KW - cat KW - cortex KW - inhibition KW - neurophysiology KW - rat AU - Shu, Y AU - Hasenstaub, A AU - McCormick, DA PY - 2003/05/15/ UR - http://dx.doi.org/10.1038/nature01616 ER -