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Spike Transmission and Synchrony Detection in Networks of GABAergic Interneurons
Abstract
The temporal pattern and relative timing of action potentials among neocortical neurons may carry important information. However, how cortical circuits detect or generate coherent activity remains unclear. Using paired recordings in rat neocortical slices, we found that the firing of fast-spiking cells can reflect the spiking pattern of single-axon pyramidal inputs. Moreover, this property allowed groups of fast-spiking cells interconnected by electrical and γ-aminobutyric acid (GABA)–releasing (GABAergic) synapses to detect the relative timing of their excitatory inputs. These results indicate that networks of fast-spiking cells may play a role in the detection and promotion of synchronous activity within the neocortex.
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Cited by
GABAergic Interneurons in the Neocortex: From Cellular Properties to Circuits
Tremblay, R., Lee, S., & Rudy, B. (2016) · Neuron · doi:10.1016/j.neuron.2016.06.033 · Cited by 2,033
“This depends on the speed of the action potential, the speed and size of the afterhyperpolarization (AHP), and the low-pass filtering properties of electrical synapses, which result in the transmission of slow membrane potential variations but the attenuation of fast changes such as fast action potentials (Galarreta a…”
Critical period plasticity in local cortical circuits
Hensch, T. K. (2005) · Nature Reviews Neuroscience · doi:10.1038/nrn1787 · Cited by 2,323
Synaptic mechanisms of synchronized gamma oscillations in inhibitory interneuron networks
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Neurophysiological and Computational Principles of Cortical Rhythms in Cognition
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Metadata
- Authors
- Galarreta, M., & Hestrin, S.
- Venue
- Science
- Published
- 2001-06-22
- Volume
- 292
- Issue
- 5525
- Pages
- 2295-2299
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W1983877900
- Cited by
- 388
- References
- 6
- FWCI
- 15.54
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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