What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Electroencephalography
- Artificial intelligence
Tamer Demiralp mainly investigates Neuroscience, Electroencephalography, Electrophysiology, Stimulus and Event-related potential.
The study incorporates disciplines such as Algorithm and Wavelet in addition to Neuroscience.
The Electroencephalography study combines topics in areas such as Visual perception and Speech recognition.
His research in Visual perception intersects with topics in Amplitude and Audiology.
His Stimulus research includes themes of Oddball paradigm, Rhythm and Wavelet transform.
Tamer Demiralp focuses mostly in the field of Oddball paradigm, narrowing it down to topics relating to Time resolution and, in certain cases, Artificial intelligence and Pattern recognition.
His most cited work include:
- P300-response: possible psychophysiological correlates in delta and theta frequency channels. A review. (439 citations)
- Human EEG gamma oscillations in neuropsychiatric disorders. (404 citations)
- Alpha rhythm of the EEG modulates visual detection performance in humans. (394 citations)
What are the main themes of his work throughout his whole career to date?
Tamer Demiralp mostly deals with Neuroscience, Electroencephalography, Event-related potential, Electrophysiology and Artificial intelligence.
His work on Hippocampus, Visual perception, Cortex and Visual cortex as part of general Neuroscience research is frequently linked to Open peer review, thereby connecting diverse disciplines of science.
His study looks at the relationship between Electroencephalography and topics such as Stimulus, which overlap with Audiology and Oddball paradigm.
He has included themes like Cognitive psychology, Prefrontal cortex and Auditory cortex in his Event-related potential study.
His Electrophysiology study combines topics from a wide range of disciplines, such as P200, Perception, Stimulation and Visual N1.
His studies in Artificial intelligence integrate themes in fields like Time domain, Temporal resolution and Pattern recognition.
He most often published in these fields:
- Neuroscience (56.41%)
- Electroencephalography (38.46%)
- Event-related potential (30.13%)
What were the highlights of his more recent work (between 2014-2021)?
- Audiology (19.23%)
- Neuroscience (56.41%)
- Disease (5.13%)
In recent papers he was focusing on the following fields of study:
Tamer Demiralp mainly focuses on Audiology, Neuroscience, Disease, Functional connectivity and Cognitive impairment.
His study in Audiology is interdisciplinary in nature, drawing from both Functional magnetic resonance imaging, Functional neuroimaging, Neuroimaging and Attention deficit hyperactivity disorder.
His Neuroscience study frequently links to related topics such as Drug-naïve.
Tamer Demiralp has researched Disease in several fields, including Auditory oddball, Modulation and Cognition, Attentional network.
His studies examine the connections between Cognition and genetics, as well as such issues in Somatosensory system, with regards to Electroencephalography.
The concepts of his Cognitive impairment study are interwoven with issues in Developmental psychology, Precuneus and Nuclear medicine.
Between 2014 and 2021, his most popular works were:
- Measurement of cognitive dynamics during video watching through event-related potentials (ERPs) and oscillations (EROs) (5 citations)
- Achromatic temporal-frequency responses of human lateral geniculate nucleus and primary visual cortex. (5 citations)
- Intrinsic functional connectivity in social anxiety disorder with and without comorbid attention deficit hyperactivity disorder. (2 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Electroencephalography
- Cognition
His scientific interests lie mostly in Electroencephalography, Audiology, Speech recognition, Neuroscience and Event-related potential.
He combines subjects such as Neuroimaging, Functional magnetic resonance imaging, Default mode network and Disease with his study of Audiology.
His Speech recognition research is multidisciplinary, incorporating perspectives in Luminance, Long-term memory and Somatosensory system.
His research integrates issues of Obsessive compulsive and Drug-naïve in his study of Neuroscience.
His study on Event-related potential is covered under Cognition.
His Cognition study incorporates themes from Stimulus modality and Dynamics.
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