Results 51 to 60 of about 704,312 (278)

Optogenetic Stimulation of Single Ganglion Cells in the Living Primate Fovea

open access: yes, 2023
Data for Optogenetic Stimulation of Single Ganglion Cells in the Living Primate ...
Peter Murphy
core   +1 more source

Artificial Optogenetic TRN Stimulation of C. elegans [PDF]

open access: yesBIO-PROTOCOL, 2016
Optogenetics is a powerful tool for manipulating neuronal activity with high temporal and spatial precision. In the nematode C. elegans optogentics is especially useful and easy to apply. This is because C. elegans is translucent, so its neurons are highly accessible to optic stimulation.
Ithai Rabinowitch   +2 more
openaire   +3 more sources

Optogenetic Stimulation of MCH Neurons Increases Sleep [PDF]

open access: yesJournal of Neuroscience, 2013
Melanin concentrating hormone (MCH) is a cyclic neuropeptide present in the hypothalamus of all vertebrates. MCH is implicated in a number of behaviors but direct evidence is lacking. To selectively stimulate the MCH neurons the gene for the light-sensitive cation channel, channelrhodopsin-2, was inserted into the MCH neurons of wild-type mice.
Roda Rani, Konadhode   +9 more
openaire   +2 more sources

Frequency-dependent seizure-suppressing effects of optogenetic activation of septal inhibitory cells in mesial temporal lobe epilepsy

open access: yesNeurobiology of Disease
Mesial temporal lobe epilepsy (MTLE) is characterized by recurring focal seizures that arise from limbic areas and are often refractory to pharmacological interventions.
Maxime Lévesque   +3 more
doaj   +1 more source

Functional ultrasound imaging of the spreading activity following optogenetic stimulation of the rat visual cortex

open access: yesScientific Reports, 2021
Optogenetics has revolutionized neurosciences by allowing fine control of neuronal activity. An important aspect for this control is assessing the activation and/or adjusting the stimulation, which requires imaging the entire volume of optogenetically ...
M. Provansal   +14 more
doaj   +1 more source

Modeling Interference-Free Neuron Spikes With Optogenetic Stimulation [PDF]

open access: yesIEEE Transactions on Molecular, Biological and Multi-Scale Communications, 2019
This paper predicts the ability to externally control the firing times of a cortical neuron whose behavior follows the Izhikevich neuron model. The Izhikevich neuron model provides an efficient and biologically plausible method to track a cortical neuron's membrane potential and its firing times.
Adam Noel   +3 more
openaire   +3 more sources

Optogenetic perturbations reveal the dynamics of an oculomotor integrator [PDF]

open access: yes, 2014
Many neural systems can store short-term information in persistently firing neurons. Such persistent activity is believed to be maintained by recurrent feedback among neurons.
Arrenberg, A.   +24 more
core   +1 more source

Complementing Engel Classification: Postoperative Scalp EEG as an Objective Indicator in SEEG‐Guided Radiofrequency Thermocoagulation—A Seizure‐Onset Pattern‐Based Stratified Analysis—

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Stereoelectroencephalography‐guided radiofrequency thermocoagulation (SEEG‐RFTC) is a minimally invasive therapy for drug‐resistant focal epilepsy. However, the relationship between specific seizure‐onset patterns (SOPs), particularly low‐voltage fast activity (LVFA), and postoperative scalp EEG normalization remains inadequately ...
Yi‐qing Yang   +6 more
wiley   +1 more source

Numbers of cases in each group responding to optogenetic stimulation with feeding (Eat) or self-stimulation (SS).

open access: yes, 2016
Numbers of cases in each group responding to optogenetic stimulation with feeding (Eat) or self-stimulation (SS).
Roy A. Wise (376931)   +3 more
core   +1 more source

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

open access: yesAdvanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan   +4 more
wiley   +1 more source

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