What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Neuroscience
- Neuron
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 most cited work include:
- A model of saliency-based visual attention for rapid scene analysis (8952 citations)
- Computational modelling of visual attention. (3577 citations)
- Shifts in selective visual attention: towards the underlying neural circuitry. (3233 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Neuroscience (35.11%)
- Artificial intelligence (26.08%)
- Cognitive psychology (16.54%)
What were the highlights of his more recent work (between 2014-2021)?
- Neuroscience (35.11%)
- Visual cortex (11.45%)
- Cell type (3.44%)
In recent papers he was focusing on the following fields of study:
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.
Between 2014 and 2021, his most popular works were:
- Adult mouse cortical cell taxonomy revealed by single cell transcriptomics (969 citations)
- Fully integrated silicon probes for high-density recording of neural activity (733 citations)
- Shared and distinct transcriptomic cell types across neocortical areas (564 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Neuroscience
- Statistics
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.
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