What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Statistics
- Artificial intelligence
Matteo Carandini mostly deals with Neuroscience, Visual cortex, Stimulus, Receptive field and Normalization model.
His research on Neuroscience often connects related areas such as Anatomy.
Matteo Carandini has included themes like Orientation, Visual perception, Photic Stimulation and Local field potential in his Visual cortex study.
Matteo Carandini works mostly in the field of Visual perception, limiting it down to topics relating to Electrophysiology and, in certain cases, Visual processing, as a part of the same area of interest.
His studies in Receptive field integrate themes in fields like Hyperpolarization and Tonic.
His Normalization model study incorporates themes from Lateral geniculate nucleus and Shunting inhibition.
His most cited work include:
- Normalization as a canonical neural computation. (1176 citations)
- Linearity and Normalization in Simple Cells of the Macaque Primary Visual Cortex (818 citations)
- Fully integrated silicon probes for high-density recording of neural activity (733 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Neuroscience, Visual cortex, Stimulus, Sensory system and Visual perception.
His is involved in several facets of Neuroscience study, as is seen by his studies on Cortex, Receptive field, Sensory cortex, Local field potential and Electrophysiology.
His Receptive field research is multidisciplinary, incorporating perspectives in Communication and Summation.
His Visual cortex study combines topics from a wide range of disciplines, such as Photic Stimulation, Neuron and Excitatory postsynaptic potential.
His work investigates the relationship between Stimulus and topics such as Hyperpolarization that intersect with problems in Tonic.
His Sensory system research focuses on subjects like Optogenetics, which are linked to Stimulation.
He most often published in these fields:
- Neuroscience (82.02%)
- Visual cortex (64.91%)
- Stimulus (33.33%)
What were the highlights of his more recent work (between 2017-2021)?
- Neuroscience (82.02%)
- Visual cortex (64.91%)
- Sensory system (17.98%)
In recent papers he was focusing on the following fields of study:
His main research concerns Neuroscience, Visual cortex, Sensory system, Cortex and Stimulus.
Neuroscience is represented through his Visual perception, Sensory cortex, Arousal, Mouse cortex and Forebrain research.
His biological study spans a wide range of topics, including Inhibitory postsynaptic potential, Excitatory postsynaptic potential, Sensory processing, Modulation and Hippocampus.
His Sensory system research includes themes of Dopamine and Optogenetics.
His research investigates the connection between Cortex and topics such as Visual processing that intersect with issues in Trajectory, Virtual reality and Set.
He has researched Stimulus in several fields, including High dimensional, Statistical physics and Principal component analysis.
Between 2017 and 2021, his most popular works were:
- Spontaneous behaviors drive multidimensional, brainwide activity. (329 citations)
- Distributed coding of choice, action and engagement across the mouse brain (155 citations)
- High-dimensional geometry of population responses in visual cortex. (132 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Statistics
- Artificial intelligence
Neuroscience, Sensory system, Visual cortex, Stimulus and Forebrain are his primary areas of study.
Neuroscience is frequently linked to Computer hardware in his study.
His research integrates issues of Mouse cortex, Hippocampal formation, Optogenetics, Psychophysics and Reinforcement learning in his study of Sensory system.
Matteo Carandini conducts interdisciplinary study in the fields of Visual cortex and Cell type through his works.
His Stimulus research is multidisciplinary, incorporating elements of Power law, Statistical physics, High dimensional, Principal component analysis and Scaling.
His study in Sensory cortex is interdisciplinary in nature, drawing from both Recall, Barrel cortex, Photic Stimulation, Functional neuroimaging and Local field potential.
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