What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Artificial intelligence
- Cognition
His primary scientific interests are in Neuroscience, Visual cortex, Electrophysiology, Stimulus and Cognition.
In Neuroscience, Wolf Singer works on issues like Synchronization, which are connected to Amplitude.
His Visual cortex research includes themes of Cerebral cortex, Anatomy, Premovement neuronal activity, Visual perception and Local field potential.
His Electrophysiology research incorporates themes from Central nervous system and Gamma band.
His Stimulus study combines topics from a wide range of disciplines, such as Ocular dominance, Cognitive psychology, Visual processing and Macaque.
His Cognition study incorporates themes from Psychosis, Autism and Schizophrenia.
His most cited work include:
- Oscillatory responses in cat visual cortex exhibit inter-columnar synchronization which reflects global stimulus properties (3545 citations)
- Visual feature integration and the temporal correlation hypothesis (2759 citations)
- Dynamic predictions: oscillations and synchrony in top-down processing. (2656 citations)
What are the main themes of his work throughout his whole career to date?
Neuroscience, Visual cortex, Stimulus, Perception and Artificial intelligence are his primary areas of study.
His study in Neuroscience focuses on Receptive field, Cognition, Stimulation, Electrophysiology and Excitatory postsynaptic potential.
His work deals with themes such as Psychosis, Schizophrenia, Cognitive science and Electroencephalography, which intersect with Cognition.
Wolf Singer works mostly in the field of Visual cortex, limiting it down to concerns involving Anatomy and, occasionally, CATS.
His studies in Perception integrate themes in fields like Synchronization, Consciousness and Cognitive psychology, Sensory system.
His Artificial intelligence research is multidisciplinary, incorporating elements of Computer vision and Pattern recognition.
He most often published in these fields:
- Neuroscience (73.07%)
- Visual cortex (41.92%)
- Stimulus (18.78%)
What were the highlights of his more recent work (between 2013-2021)?
- Neuroscience (73.07%)
- Visual cortex (41.92%)
- Stimulus (18.78%)
In recent papers he was focusing on the following fields of study:
Wolf Singer mainly investigates Neuroscience, Visual cortex, Stimulus, Sensory system and Perception.
His study in Inhibitory postsynaptic potential, Macaque, Magnetoencephalography, Visual perception and Gamma Rhythm is carried out as part of his studies in Neuroscience.
His studies deal with areas such as Receptive field, Electrophysiology and Synchronization as well as Macaque.
Wolf Singer has researched Visual cortex in several fields, including Neurofeedback and Local field potential.
His research in Sensory system intersects with topics in Stimulus specificity and Artificial intelligence, Pattern recognition.
In his work, Cognitive science is strongly intertwined with Cognition, which is a subfield of Perception.
Between 2013 and 2021, his most popular works were:
- Untangling cross-frequency coupling in neuroscience (326 citations)
- Oscillations and neuronal dynamics in schizophrenia: the search for basic symptoms and translational opportunities. (145 citations)
- Ketamine Dysregulates the Amplitude and Connectivity of High-Frequency Oscillations in Cortical–Subcortical Networks in Humans: Evidence From Resting-State Magnetoencephalography-Recordings (82 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Artificial intelligence
- Neuron
His main research concerns Neuroscience, Stimulus, Visual cortex, Schizophrenia and Cognition.
Magnetoencephalography, Gamma Rhythm, Sensory system, Inhibitory postsynaptic potential and Electroencephalography are among the areas of Neuroscience where Wolf Singer concentrates his study.
His Stimulus research is multidisciplinary, relying on both Color vision, Receptive field, Perception and Macaque.
His Visual cortex research is multidisciplinary, incorporating perspectives in Postsynaptic potential, Gating, Stimulation, Reticular formation and Neuroplasticity.
His Schizophrenia research includes elements of Resting state fMRI, Neuropsychology and Audiology.
The Cognition study combines topics in areas such as Neurophysiology, Signal processing and Information processing.
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