Spatiotemporal constraints on optogenetic inactivation in cortical circuits DOI Creative Commons
Nuo Li, Susu Chen, Zengcai V. Guo

et al.

eLife, Journal Year: 2019, Volume and Issue: 8

Published: Nov. 18, 2019

Optogenetics allows manipulations of genetically and spatially defined neuronal populations with excellent temporal control. However, neurons are coupled other over multiple length scales, the effects localized thus spread beyond targeted neurons. We benchmarked several optogenetic methods to inactivate small regions neocortex. Optogenetic excitation GABAergic produced more effective inactivation than light-gated ion pumps. Transgenic mice expressing light-dependent chloride channel GtACR1 most potent inactivation. Generally, substantially photostimulation light, caused by strong coupling between cortical Over some range light intensity, inhibitory reduced activity in these neurons, together pyramidal a signature inhibition-stabilized neural networks ('paradoxical effect'). The offset was followed rebound dose-dependent manner, limiting resolution. Our data offer guidance for design vivo optogenetics experiments.

Language: Английский

Closed-Loop and Activity-Guided Optogenetic Control DOI Creative Commons
Logan Grosenick, James H. Marshel, Karl Deisseroth

et al.

Neuron, Journal Year: 2015, Volume and Issue: 86(1), P. 106 - 139

Published: April 1, 2015

Language: Английский

Citations

375

Activity-Dependent Gating of Parvalbumin Interneuron Function by the Perineuronal Net Protein Brevican DOI Creative Commons
Emilia Favuzzi, André Marques–Smith, Rubén Deogracias

et al.

Neuron, Journal Year: 2017, Volume and Issue: 95(3), P. 639 - 655.e10

Published: July 14, 2017

Language: Английский

Citations

343

Distinct Inhibitory Circuits Orchestrate Cortical beta and gamma Band Oscillations DOI Creative Commons
Guang Chen, Yuan Zhang, Xiang Li

et al.

Neuron, Journal Year: 2017, Volume and Issue: 96(6), P. 1403 - 1418.e6

Published: Dec. 1, 2017

Language: Английский

Citations

315

Subtype-specific plasticity of inhibitory circuits in motor cortex during motor learning DOI
Simon X. Chen,

An Na Kim,

Andrew J. Peters

et al.

Nature Neuroscience, Journal Year: 2015, Volume and Issue: 18(8), P. 1109 - 1115

Published: June 22, 2015

Language: Английский

Citations

307

Silencing Neurons: Tools, Applications, and Experimental Constraints DOI Creative Commons
J. Simon Wiegert, Mathias Mahn, Matthias Prigge

et al.

Neuron, Journal Year: 2017, Volume and Issue: 95(3), P. 504 - 529

Published: Aug. 1, 2017

Language: Английский

Citations

298

Dynamic Balance of Excitation and Inhibition in Human and Monkey Neocortex DOI Creative Commons
Nima Dehghani, Adrien Peyrache, Bartosz Teleńczuk

et al.

Scientific Reports, Journal Year: 2016, Volume and Issue: 6(1)

Published: March 16, 2016

Balance of excitation and inhibition is a fundamental feature in vivo network activity important for its computations. However, presence the neocortex higher mammals not well established. We investigated dynamics using dense multielectrode recordings humans monkeys. found that all states wake-sleep cycle, excitatory inhibitory ensembles are balanced, co-fluctuate with slight instantaneous deviations from perfect balance, mostly slow-wave sleep. Remarkably, these correlated fluctuations seen many different temporal scales. The similarity computational features model self-generated balanced suggests such essentially generated by recurrent local due to external inputs. Finally, we find this balance breaks down during seizures, where correlation populations disrupted. These results show normal brain activity, break could be an factor define pathological states.

Language: Английский

Citations

283

Imbalance between firing homeostasis and synaptic plasticity drives early-phase Alzheimer’s disease DOI

Boaz Styr,

Inna Slutsky

Nature Neuroscience, Journal Year: 2018, Volume and Issue: 21(4), P. 463 - 473

Published: Feb. 5, 2018

Language: Английский

Citations

281

Pyramidal cell regulation of interneuron survival sculpts cortical networks DOI
Fong Kuan Wong, Kinga Bercsényi, Varun Sreenivasan

et al.

Nature, Journal Year: 2018, Volume and Issue: 557(7707), P. 668 - 673

Published: May 1, 2018

Language: Английский

Citations

265

The spatial structure of correlated neuronal variability DOI
Robert Rosenbaum, Matthew A. Smith, Adam Kohn

et al.

Nature Neuroscience, Journal Year: 2016, Volume and Issue: 20(1), P. 107 - 114

Published: Oct. 31, 2016

Language: Английский

Citations

244

Single-cell–initiated monosynaptic tracing reveals layer-specific cortical network modules DOI

Adrian Wertz,

Stuart Trenholm, Keisuke Yonehara

et al.

Science, Journal Year: 2015, Volume and Issue: 349(6243), P. 70 - 74

Published: July 3, 2015

Individual cortical neurons can selectively respond to specific environmental features, such as visual motion or faces. How this relates the selectivity of presynaptic network across layers remains unclear. We used single-cell-initiated, monosynaptically restricted retrograde transsynaptic tracing with rabies viruses expressing GCaMP6s image, in vivo, motion-evoked activity individual layer 2/3 pyramidal and their networks mouse primary cortex. Neurons within each exhibited similar direction preferences, forming layer-specific functional modules. In one-third networks, modules were locked preference postsynaptic neuron, whereas for other varied by layer. Thus, there exist feature-locked feature-variant networks.

Language: Английский

Citations

243