What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Statistics
- Electroencephalography
Vadim V. Nikulin focuses on Electroencephalography, Neuroscience, Amplitude, Stimulus and Motor cortex.
With his scientific publications, his incorporates both Electroencephalography and Finite element method.
His Somatosensory system, Magnetoencephalography, Transcranial magnetic stimulation, Left prefrontal cortex and Prefrontal cortex study are his primary interests in Neuroscience.
His Amplitude study combines topics in areas such as Beta Rhythm, Beta and Alpha.
His research integrates issues of Electromyography, Brain stimulation and Premovement neuronal activity in his study of Motor cortex.
His Electromyography research is multidisciplinary, incorporating elements of Mirror neuron, Cognitive psychology and Cognition, Lexical decision task.
His most cited work include:
- Functional links between motor and language systems. (548 citations)
- Robustly estimating the flow direction of information in complex physical systems. (379 citations)
- Prestimulus Oscillations Enhance Psychophysical Performance in Humans (337 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Electroencephalography, Neuroscience, Stimulus, Somatosensory system and Artificial intelligence.
His biological study spans a wide range of topics, including Electrophysiology, Audiology, Cognition, Amplitude and Human brain.
His Amplitude research includes themes of Magnetoencephalography, Amplitude modulation, Brain stimulation, Statistical physics and Nuclear magnetic resonance.
His Neuroscience study deals with Alpha intersecting with Beta and Electromyography.
The study incorporates disciplines such as Motor cortex, Rhythm and Perception in addition to Stimulus.
His studies in Artificial intelligence integrate themes in fields like Neurophysiology and Pattern recognition.
He most often published in these fields:
- Electroencephalography (87.79%)
- Neuroscience (64.03%)
- Stimulus (19.14%)
What were the highlights of his more recent work (between 2019-2021)?
- Neuroscience (64.03%)
- Electroencephalography (87.79%)
- Somatosensory system (16.50%)
In recent papers he was focusing on the following fields of study:
Vadim V. Nikulin mainly investigates Neuroscience, Electroencephalography, Somatosensory system, Stimulus and Audiology.
His Neuroscience study frequently links to related topics such as Alpha.
He interconnects Neurophysiology, Isometric exercise, Human brain, Nonlinear system and Electromyography in the investigation of issues within Electroencephalography.
Vadim V. Nikulin works mostly in the field of Somatosensory system, limiting it down to topics relating to Perception and, in certain cases, Cardiac cycle, Cognitive neuroscience, Oddball paradigm and Mismatch negativity, as a part of the same area of interest.
Vadim V. Nikulin has researched Stimulus in several fields, including Facilitation, Intracortical inhibition and Sensory system.
His Audiology study incorporates themes from Cued speech, Resting state fMRI and Neuroplasticity.
Between 2019 and 2021, his most popular works were:
- Heart–brain interactions shape somatosensory perception and evoked potentials (16 citations)
- Heart–brain interactions shape somatosensory perception and evoked potentials (16 citations)
- BOLD and EEG signal variability at rest differently relate to aging in the human brain. (16 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Statistics
- Internal medicine
His primary areas of investigation include Electroencephalography, Neuroscience, Somatosensory system, Brain–computer interface and Motor imagery.
His work often combines Electroencephalography and Eccentric studies.
His Neuroscience study frequently draws connections to other fields, such as Amplitude modulation.
His Somatosensory system study integrates concerns from other disciplines, such as Stimulus and Sensory system.
His Brain–computer interface research is multidisciplinary, relying on both Cognitive psychology, Embodied cognition, Neuroethics, Sense of agency and Virtual reality.
His work carried out in the field of Motor imagery brings together such families of science as Speech recognition and Identification.
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