What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Artificial intelligence
- Perception
Christoph Kayser mostly deals with Neuroscience, Sensory system, Stimulus, Auditory cortex and Perception.
Local field potential, Functional imaging, Functional magnetic resonance imaging, Macaque and Electroencephalography are the core of his Neuroscience study.
Christoph Kayser has researched Sensory system in several fields, including Speech recognition, Rhythm and Communication.
His biological study spans a wide range of topics, including Stimulus modality and Premovement neuronal activity.
His work on Cognitive neuroscience of music as part of his general Auditory cortex study is frequently connected to Auditory imagery, thereby bridging the divide between different branches of science.
His work carried out in the field of Perception brings together such families of science as Neuroimaging, Neural coding and Information processing.
His most cited work include:
- Modelling and analysis of local field potentials for studying the function of cortical circuits (495 citations)
- Visual Modulation of Neurons in Auditory Cortex (394 citations)
- Sensory neural codes using multiplexed temporal scales (377 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Neuroscience, Sensory system, Auditory cortex, Stimulus and Perception.
Christoph Kayser frequently studies issues relating to Communication and Neuroscience.
His research in Sensory system intersects with topics in Visual perception and Sensory cue.
The various areas that he examines in his Auditory cortex study include Natural sounds, Functional imaging and Functional magnetic resonance imaging.
His study on Stimulus also encompasses disciplines like
- Auditory perception, which have a strong connection to Brain mapping,
- Neurophysiology that connect with fields like Illusion.
His Perception research includes themes of Cognitive psychology, Rhythm, Speech recognition and Electroencephalography.
He most often published in these fields:
- Neuroscience (63.40%)
- Sensory system (35.74%)
- Auditory cortex (26.81%)
What were the highlights of his more recent work (between 2016-2021)?
- Perception (25.53%)
- Sensory system (35.74%)
- Cognitive psychology (15.74%)
In recent papers he was focusing on the following fields of study:
His main research concerns Perception, Sensory system, Cognitive psychology, Electroencephalography and Stimulus.
He combines subjects such as Motion and Frontal lobe with his study of Perception.
His Sensory system research incorporates elements of Illusion, Visual perception, Sensory cue and Inference.
His work on Multisensory integration as part of general Cognitive psychology study is frequently connected to Association and Contrast, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His Electroencephalography study is concerned with the field of Neuroscience as a whole.
His Stimulus research includes elements of Audiology, Mutual information, Pattern recognition, Rhythm and Neuroimaging.
Between 2016 and 2021, his most popular works were:
- A statistical framework for neuroimaging data analysis based on mutual information estimated via a gaussian copula (108 citations)
- Perceptually relevant speech tracking in auditory and motor cortex reflects distinct linguistic features. (93 citations)
- Perceptually relevant speech tracking in auditory and motor cortex reflects distinct linguistic features. (93 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Neuroscience
- Perception
Christoph Kayser mainly focuses on Perception, Brain activity and meditation, Sensory system, Stimulus and Electroencephalography.
His research integrates issues of Cognitive psychology and Magnetoencephalography in his study of Perception.
His Brain activity and meditation research also works with subjects such as
- Speech perception which intersects with area such as Speech recognition,
- Speech processing and related Semantic memory.
His work deals with themes such as Mutual information, Artificial intelligence, Pattern recognition and Cognitive science, which intersect with Sensory system.
His Stimulus research is multidisciplinary, incorporating elements of Perceptual discrimination, Rhythm, Neural coding and Auditory perception.
His Electroencephalography study necessitates a more in-depth grasp of Neuroscience.
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