What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Neuroscience
- Artificial intelligence
His primary areas of investigation include Neuroscience, Electroencephalography, Epilepsy, Brain mapping and Local field potential.
Sydney S. Cash merges Neuroscience with Chemistry in his study.
His Electroencephalography study integrates concerns from other disciplines, such as Motor cortex and Temporal lobe.
In general Epilepsy, his work in Ictal is often linked to Responsive neurostimulation device linking many areas of study.
His work carried out in the field of Brain mapping brings together such families of science as Intracranial eeg, Resting state fMRI, Cognition and Set.
His work deals with themes such as Deep linguistic processing, Biological neural network, Functional magnetic resonance imaging and Speech recognition, which intersect with Local field potential.
His most cited work include:
- Reach and grasp by people with tetraplegia using a neurally controlled robotic arm (1579 citations)
- Single-neuron dynamics in human focal epilepsy (363 citations)
- Long-term treatment with responsive brain stimulation in adults with refractory partial seizures (325 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Neuroscience, Electroencephalography, Epilepsy, Ictal and Artificial intelligence.
His Local field potential, Sleep spindle, Sleep in non-human animals, Cortex and Electrophysiology investigations are all subjects of Neuroscience research.
His work in Electroencephalography covers topics such as Speech recognition which are related to areas like Brain–computer interface.
His Epilepsy research includes themes of Anesthesia and Pediatrics.
His research ties Seizure onset and Ictal together.
His research in Artificial intelligence intersects with topics in Machine learning, Computer vision and Pattern recognition.
He most often published in these fields:
- Neuroscience (49.26%)
- Electroencephalography (37.98%)
- Epilepsy (26.71%)
What were the highlights of his more recent work (between 2019-2021)?
- Neuroscience (49.26%)
- Epilepsy (26.71%)
- Electroencephalography (37.98%)
In recent papers he was focusing on the following fields of study:
Sydney S. Cash focuses on Neuroscience, Epilepsy, Electroencephalography, Ictal and Artificial intelligence.
His Epilepsy research includes elements of Intervention, Electrophysiology and Local field potential.
His Local field potential research integrates issues from Depolarization and Excitatory postsynaptic potential.
His work on Clinical neurophysiology as part of general Electroencephalography study is frequently linked to Inter-rater reliability, bridging the gap between disciplines.
His Ictal study combines topics in areas such as Feature, Network activity, Cytoarchitecture, Brain region and Seizure onset.
Sydney S. Cash interconnects Filter and Pattern recognition in the investigation of issues within Artificial intelligence.
Between 2019 and 2021, his most popular works were:
- Development of Expert-Level Automated Detection of Epileptiform Discharges During Electroencephalogram Interpretation (21 citations)
- Interrater Reliability of Experts in Identifying Interictal Epileptiform Discharges in Electroencephalograms. (15 citations)
- Electrographic predictors of successful weaning from anaesthetics in refractory status epilepticus. (10 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Neuroscience
- Artificial intelligence
Neuroscience, Ictal, Electroencephalography, Artificial intelligence and Memory consolidation are his primary areas of study.
His work in Neuroscience is not limited to one particular discipline; it also encompasses Mechanism.
His Ictal research incorporates themes from Seizure types, Network activity, Cytoarchitecture, Brain region and Seizure onset.
His study in Electroencephalography is interdisciplinary in nature, drawing from both Anesthesia, Discontinuation, Audiology, Selection bias and Scalp.
As a part of the same scientific family, Sydney S. Cash mostly works in the field of Artificial intelligence, focusing on Pattern recognition and, on occasion, Artificial neural network.
The various areas that he examines in his Memory consolidation study include Spike-timing-dependent plasticity and Sleep spindle.
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