What is she best known for?
The fields of study she is best known for:
- Neuroscience
- Quantum mechanics
- Mathematical analysis
Her primary areas of investigation include Neuroscience, Inhibitory postsynaptic potential, Synchronization, Artificial neural network and Hippocampal formation.
Her work in Neuroscience is not limited to one particular discipline; it also encompasses Cognitive science.
Her Inhibitory postsynaptic potential study incorporates themes from Beta Rhythm, Nerve net, Network dynamics and Biological neural network.
Her biological study spans a wide range of topics, including Synapse, Biological system and Topology.
Her Artificial neural network research incorporates elements of Statistical physics and Control theory.
Nancy Kopell works mostly in the field of Hippocampal formation, limiting it down to topics relating to Anatomy and, in certain cases, Postsynaptic Current, GABAergic and Parvalbumin, as a part of the same area of interest.
Her most cited work include:
- Gamma rhythms and beta rhythms have different synchronization properties. (836 citations)
- Inhibition-based rhythms: experimental and mathematical observations on network dynamics (682 citations)
- Measuring Phase-Amplitude Coupling Between Neuronal Oscillations of Different Frequencies (644 citations)
What are the main themes of her work throughout her whole career to date?
Neuroscience, Rhythm, Inhibitory postsynaptic potential, Excitatory postsynaptic potential and Mathematical analysis are her primary areas of study.
Her Beta Rhythm, Hippocampus, Hippocampal formation, Stimulus and Gamma Rhythm study are her primary interests in Neuroscience.
Cognitive science is closely connected to Cognition in her research, which is encompassed under the umbrella topic of Rhythm.
Her Inhibitory postsynaptic potential research is multidisciplinary, incorporating perspectives in Nerve net, Biological system and Neuron.
The various areas that Nancy Kopell examines in her Biological system study include Oscillation and Synchronization.
The Oscillation study combines topics in areas such as Bursting and Control theory.
She most often published in these fields:
- Neuroscience (57.43%)
- Rhythm (19.28%)
- Inhibitory postsynaptic potential (16.47%)
What were the highlights of her more recent work (between 2011-2021)?
- Neuroscience (57.43%)
- Rhythm (19.28%)
- Inhibitory postsynaptic potential (16.47%)
In recent papers she was focusing on the following fields of study:
Her scientific interests lie mostly in Neuroscience, Rhythm, Inhibitory postsynaptic potential, Prefrontal cortex and Thalamus.
Her study in Beta Rhythm, Stimulus, Striatum, Cholinergic and Local field potential is carried out as part of her studies in Neuroscience.
She interconnects Phase and Cognition in the investigation of issues within Rhythm.
The concepts of her Inhibitory postsynaptic potential study are interwoven with issues in Biological system and Neuron.
Her Thalamus research focuses on subjects like Alpha, which are linked to Anesthetic, Membrane potential and Electroencephalography.
Her work carried out in the field of Excitatory postsynaptic potential brings together such families of science as Hippocampal formation and Artificial intelligence.
Between 2011 and 2021, her most popular works were:
- Electroencephalogram signatures of loss and recovery of consciousness from propofol (443 citations)
- Beyond the connectome: the dynome. (228 citations)
- A neurophysiological–metabolic model for burst suppression (159 citations)
In her most recent research, the most cited papers focused on:
- Quantum mechanics
- Neuroscience
- Mathematical analysis
Nancy Kopell mainly investigates Neuroscience, Thalamus, Rhythm, Excitatory postsynaptic potential and Inhibitory postsynaptic potential.
Cognition, Beta Rhythm, Gamma Rhythm, Cholinergic and Sensory system are subfields of Neuroscience in which her conducts study.
Her Beta Rhythm research focuses on Frequency filtering and how it connects with Electroencephalography.
Her Rhythm study combines topics in areas such as Schizophrenia research, Cognitive psychology, Inhibitory interneuron, Premovement neuronal activity and Perceptual disturbances.
The study incorporates disciplines such as Stimulus, Neuromorphic engineering, Hippocampal formation, Waveform and Artificial intelligence in addition to Excitatory postsynaptic potential.
Her research in Inhibitory postsynaptic potential intersects with topics in Current, Resonance and Biological system.
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