2014 - Fellow of the American Association for the Advancement of Science (AAAS)
2007 - Fellow of the American Academy of Arts and Sciences
1987 - Fellow of Alfred P. Sloan Foundation
Christof Koch mostly deals with Neuroscience, Artificial intelligence, Visual perception, Computer vision and Stimulus. The study incorporates disciplines such as Communication and Pattern recognition in addition to Artificial intelligence. He combines subjects such as Algorithm, Cognitive psychology, Temporal lobe and Psychophysics with his study of Visual perception.
His Cognitive psychology research is multidisciplinary, incorporating elements of Social psychology and Cognitive science. Object detection is closely connected to Visual attention in his research, which is encompassed under the umbrella topic of Computer vision. His Stimulus research is multidisciplinary, relying on both Sensory system and Perception.
His main research concerns Neuroscience, Artificial intelligence, Cognitive psychology, Consciousness and Computer vision. His study in Neuroscience focuses on Visual cortex, Excitatory postsynaptic potential, Neuron, Electrophysiology and Stimulus. His Artificial intelligence research integrates issues from Machine learning, Very-large-scale integration, Communication and Pattern recognition.
His Cognitive psychology study integrates concerns from other disciplines, such as Perception and Visual attention. His Consciousness study frequently draws connections between adjacent fields such as Cognitive science. He works in the field of Computer vision, namely Optical flow.
Christof Koch mostly deals with Neuroscience, Visual cortex, Cell type, Electrophysiology and Consciousness. His research in Excitatory postsynaptic potential, Neuron, Cortex, Visual perception and Neocortex are components of Neuroscience. His Visual cortex research includes themes of Neural activity, Parvalbumin, Optogenetics and Calcium imaging.
His work carried out in the field of Electrophysiology brings together such families of science as Hippocampal formation, Neuron types, Genetically modified mouse and Temporal lobe. His Consciousness study combines topics from a wide range of disciplines, such as Neural correlates of consciousness, Cognitive psychology and Cognitive science. In Cognitive psychology, he works on issues like Communication, which are connected to Unconscious mind.
His primary areas of study are Neuroscience, Cell type, Visual cortex, Visual perception and Electrophysiology. He combines subjects such as Neuron types, Transcriptome, Transgene and Single-cell analysis with his study of Cell type. Christof Koch interconnects Neural activity, Physiology and Neuron in the investigation of issues within Visual cortex.
His Visual perception research incorporates themes from Cognitive psychology, Sensory system, Receptive field, Communication and Stimulus. His research in Electrophysiology tackles topics such as Local field potential which are related to areas like Intracellular, Soma, Inhibitory postsynaptic potential, Extracellular and Optoelectronics. His Artificial intelligence study frequently draws connections to adjacent fields such as Pattern recognition.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
A model of saliency-based visual attention for rapid scene analysis
L. Itti;C. Koch;E. Niebur.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1998)
Shifts in selective visual attention: towards the underlying neural circuitry.
Christof Koch;Shimon Ullman.
Human neurobiology (1987)
Computational modelling of visual attention.
Laurent Itti;Christof Koch.
Nature Reviews Neuroscience (2001)
Graph-Based Visual Saliency
Jonathan Harel;Christof Koch;Pietro Perona.
neural information processing systems (2006)
A saliency-based search mechanism for overt and covert shifts of visual attention.
Laurent Itti;Christof Koch.
Vision Research (2000)
The ENCODE (ENCyclopedia of DNA elements) Project
E. A. Feingold;P. J. Good;M. S. Guyer;S. Kamholz.
An anatomically comprehensive atlas of the adult human brain transcriptome
Michael J. Hawrylycz;Ed S. Lein;Angela L. Guillozet-Bongaarts;Elaine H. Shen.
A mesoscale connectome of the mouse brain
Seung Wook Oh;Julie A. Harris;Lydia Ng;Brent Winslow.
Adult mouse cortical cell taxonomy revealed by single cell transcriptomics
Bosiljka Tasic;Vilas Menon;Thuc Nghi Nguyen;Tae Kyung Kim.
Nature Neuroscience (2016)
Rapid natural scene categorization in the near absence of attention
Fei Fei Li;Rufin VanRullen;Christof Koch;Pietro Perona.
Proceedings of the National Academy of Sciences of the United States of America (2002)
Profile was last updated on December 6th, 2021.
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