2011 - National Institutes of Health Director's Pioneer Award
Andreas S. Tolias mostly deals with Neuroscience, Wakefulness, Visual cortex, Macaque and Sensory system. Electrophysiology, Neocortex, Cerebral cortex, Cortex and Functional connectivity are the core of his Neuroscience study. He has researched Cerebral cortex in several fields, including Acetylcholine, Cholinergic and Optics.
His biological study spans a wide range of topics, including Nerve net, Photic Stimulation and Pupil. His work carried out in the field of Visual cortex brings together such families of science as Stimulus, Form perception, Cortex and Pattern recognition. His study looks at the relationship between Sensory system and topics such as Pupillometry, which overlap with Whisking in animals, Electroencephalography, Arousal and Motor activity.
Andreas S. Tolias mainly investigates Neuroscience, Visual cortex, Artificial intelligence, Macaque and Pattern recognition. In his work, Andreas S. Tolias performs multidisciplinary research in Neuroscience and Cell type. His work in Visual cortex covers topics such as Stimulus which are related to areas like Correlation.
His Artificial intelligence research incorporates themes from Machine learning and Spike. His work in the fields of Pattern recognition, such as Convolutional neural network, intersects with other areas such as Generalization. His Inference study deals with Calcium imaging intersecting with Biological neural network.
His primary areas of study are Neuroscience, Artificial intelligence, Visual cortex, Cell type and Neocortex. The concepts of his Neuroscience study are interwoven with issues in Likelihood function and Bayesian probability. His Artificial intelligence research is multidisciplinary, relying on both Machine learning and Pattern recognition.
His Visual cortex research is multidisciplinary, incorporating elements of Normalization, Visual processing, Invariant and Neuron. His research investigates the connection between Neocortex and topics such as Excitatory postsynaptic potential that intersect with issues in Patch clamp. The Inhibitory postsynaptic potential study combines topics in areas such as Somatosensory system, Electrophysiology and Cortex.
His primary scientific interests are in Neuroscience, Visual cortex, Artificial intelligence, Cell type and Artificial neural network. His Neuroscience study often links to related topics such as Probabilistic logic. He combines subjects such as Visual processing, Sensory system, Behavioral state, Sensorimotor control and Brain circuitry with his study of Visual cortex.
His study in Sensory system is interdisciplinary in nature, drawing from both Perception, Categorization, Bayesian probability, Neural coding and Likelihood function. His work investigates the relationship between Artificial intelligence and topics such as Pattern recognition that intersect with problems in Feature, Neuronal tuning and Transfer of learning. His work on Learning rule as part of general Artificial neural network research is often related to Network architecture, thus linking different fields of science.
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Principles of connectivity among morphologically defined cell types in adult neocortex
Xiaolong Jiang;Shan Shen;Cathryn R. Cadwell;Philipp Berens.
Decorrelated neuronal firing in cortical microcircuits.
Alexander S. Ecker;Philipp Berens;Georgios A. Keliris;Matthias Bethge.
Spike sorting for large, dense electrode arrays
Cyrille Rossant;Cyrille Rossant;Shabnam N. Kadir;Shabnam N. Kadir;Dan F. M. Goodman;John Schulman.
Nature Neuroscience (2016)
Pupil Fluctuations Track Fast Switching of Cortical States during Quiet Wakefulness
Jacob Reimer;Emmanouil Froudarakis;Cathryn R. Cadwell;Dimitri Yatsenko.
Waking State: Rapid Variations Modulate Neural and Behavioral Responses.
Matthew J. McGinley;Martin Vinck;Jacob Reimer;Renata Batista-Brito.
Pupil fluctuations track rapid changes in adrenergic and cholinergic activity in cortex.
Jacob Reimer;Matthew J McGinley;Matthew J McGinley;Yang Liu;Charles Rodenkirch.
Nature Communications (2016)
Electrophysiological, transcriptomic and morphologic profiling of single neurons using Patch-seq
Cathryn R Cadwell;Athanasia Palasantza;Athanasia Palasantza;Xiaolong Jiang;Philipp Berens.
Nature Biotechnology (2016)
In vivo three-photon imaging of activity of GCaMP6-labeled neurons deep in intact mouse brain
Dimitre G Ouzounov;Tianyu Wang;Mengran Wang;Danielle D Feng.
Nature Methods (2017)
Direct and Indirect Activation of Cortical Neurons by Electrical Microstimulation
E. J. Tehovnik;A. S. Tolias;F. Sultan;W. M. Slocum.
Journal of Neurophysiology (2006)
State dependence of noise correlations in macaque primary visual cortex
Alexander S. Ecker;Philipp Berens;Philipp Berens;R. James Cotton;Manivannan Subramaniyan.
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