What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Artificial intelligence
- Neuron
His main research concerns Neuroscience, Visual cortex, Electrophysiology, Stimulus and Receptive field.
In his research, Yves Frégnac performs multidisciplinary study on Neuroscience and Selectivity.
His Visual cortex research incorporates elements of Shunting inhibition, Voltage clamp, Covariance, Functional connectivity and Bursting.
His work carried out in the field of Electrophysiology brings together such families of science as Evoked potential, Preference, Anatomy and Orientation.
The Stimulus study combines topics in areas such as Ocular dominance and Communication.
As a part of the same scientific family, Yves Frégnac mostly works in the field of Receptive field, focusing on Surround suppression and, on occasion, Retina and Visual system.
His most cited work include:
- Petilla terminology: nomenclature of features of GABAergic interneurons of the cerebral cortex (1104 citations)
- Visual input evokes transient and strong shunting inhibition in visual cortical neurons (611 citations)
- Horizontal Propagation of Visual Activity in the Synaptic Integration Field of Area 17 Neurons (442 citations)
What are the main themes of his work throughout his whole career to date?
Yves Frégnac mostly deals with Neuroscience, Visual cortex, Receptive field, Stimulus and Sensory system.
His multidisciplinary approach integrates Neuroscience and Chemistry in his work.
His Visual cortex research is multidisciplinary, incorporating perspectives in Orientation, Visual perception, Kitten and Anatomy.
His Receptive field study incorporates themes from Surround suppression, Visual field and Computer vision.
His work is dedicated to discovering how Stimulus, Communication are connected with Eye movement and other disciplines.
Yves Frégnac interconnects Biological neural network, Shunting inhibition, Perception and Thalamus in the investigation of issues within Sensory system.
He most often published in these fields:
- Neuroscience (67.46%)
- Visual cortex (46.03%)
- Receptive field (24.60%)
What were the highlights of his more recent work (between 2010-2021)?
- Neuroscience (67.46%)
- Visual cortex (46.03%)
- Receptive field (24.60%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Neuroscience, Visual cortex, Receptive field, Sensory system and Visual perception.
His study in Neuroscience focuses on Neuron, Inhibitory postsynaptic potential, Excitatory postsynaptic potential, Premovement neuronal activity and Hippocampal formation.
His research in Inhibitory postsynaptic potential focuses on subjects like Cerebral cortex, which are connected to Data-driven and Cortex.
His research in Visual cortex intersects with topics in Stimulus, Brain activity and meditation and Neural coding, Artificial intelligence.
His research integrates issues of Communication, Subliminal stimuli, Visual system, Eye movement and Computer vision in his study of Receptive field.
Yves Frégnac has researched Sensory system in several fields, including Biological neural network, Perception and Thalamus.
Between 2010 and 2021, his most popular works were:
- Lateral Spread of Orientation Selectivity in V1 is Controlled by Intracortical Cooperativity. (62 citations)
- Spontaneous cortical activity is transiently poised close to criticality (54 citations)
- Communication through resonance in spiking neuronal networks. (54 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Artificial intelligence
- Statistics
Yves Frégnac mostly deals with Neuroscience, Visual cortex, Stimulus, Receptive field and Artificial intelligence.
Yves Frégnac has included themes like Emerging technologies and Corporate governance in his Neuroscience study.
His Visual cortex research includes elements of Visual perception, Statistics and Synaptic noise.
His studies in Stimulus integrate themes in fields like Statistical structure, Subliminal stimuli, Voltage-sensitive dye and Functional connectivity.
His Receptive field research integrates issues from Neural coding, Computer vision and Scene statistics.
The concepts of his Artificial intelligence study are interwoven with issues in Behavioral state and Brain activity and meditation.
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