What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Neuroscience
- Mathematical analysis
G. Bard Ermentrout mostly deals with Neuroscience, Synchronization, Excitatory postsynaptic potential, Nerve net and Mathematical analysis.
His Neuroscience study combines topics from a wide range of disciplines, such as Bursting oscillations and Rhythm.
His Synchronization research includes themes of Phase and Statistical physics.
His Excitatory postsynaptic potential study integrates concerns from other disciplines, such as Stimulus, Excitation, Prefrontal cortex and Critical value.
His research in Nerve net intersects with topics in Artificial neural network, Biological system, Neural Inhibition and Neuron.
His research integrates issues of Monotone polygon, Pulse and Stability in his study of Mathematical analysis.
His most cited work include:
- Simulating, analyzing, and animating dynamical systems : a guide to XPPAUT for researchers and students (1146 citations)
- Type i membranes, phase resetting curves, and synchrony (827 citations)
- Mathematical foundations of neuroscience (804 citations)
What are the main themes of his work throughout his whole career to date?
Neuroscience, Statistical physics, Mathematical analysis, Synchronization and Control theory are his primary areas of study.
His research investigates the connection between Neuroscience and topics such as Artificial neural network that intersect with issues in Topology.
G. Bard Ermentrout has researched Statistical physics in several fields, including Phase, Stochastic process, Fokker–Planck equation, Mean field theory and Limit.
While the research belongs to areas of Phase, G. Bard Ermentrout spends his time largely on the problem of Limit cycle, intersecting his research to questions surrounding Amplitude.
The various areas that he examines in his Mathematical analysis study include Hopf bifurcation, Bifurcation, Scalar and Stability.
The Stimulus study combines topics in areas such as Traveling wave, Biological system and Visual cortex.
He most often published in these fields:
- Neuroscience (24.42%)
- Statistical physics (16.50%)
- Mathematical analysis (13.53%)
What were the highlights of his more recent work (between 2014-2021)?
- Neuroscience (24.42%)
- Statistical physics (16.50%)
- Mathematical analysis (13.53%)
In recent papers he was focusing on the following fields of study:
His main research concerns Neuroscience, Statistical physics, Mathematical analysis, Synchronization and Inhibitory postsynaptic potential.
His studies deal with areas such as Traveling wave and Cognitive science as well as Neuroscience.
His Statistical physics research is multidisciplinary, incorporating perspectives in Phase, Bifurcation theory, Control theory, Ordinary differential equation and Ansatz.
His Mathematical analysis study integrates concerns from other disciplines, such as Reduction and Scalar.
His Excitatory postsynaptic potential study in the realm of Inhibitory postsynaptic potential connects with subjects such as Gamma wave.
His research in Excitatory postsynaptic potential focuses on subjects like Theta model, which are connected to Biological system.
Between 2014 and 2021, his most popular works were:
- Actomyosin meshwork mechanosensing enables tissue shape to orient cell force. (71 citations)
- Greater accuracy and broadened applicability of phase reduction using isostable coordinates. (41 citations)
- Stochastic representations of ion channel kinetics and exact stochastic simulation of neuronal dynamics (36 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Mathematical analysis
- Neuroscience
Reduction, Phase, Limit cycle, Mathematical analysis and Control theory are his primary areas of study.
G. Bard Ermentrout has included themes like Closed set, Neuron, Optimal control and Rhythm in his Reduction study.
His studies examine the connections between Phase and genetics, as well as such issues in Statistical physics, with regards to Coupling, Conductance, Order and Stimulus.
G. Bard Ermentrout brings together Mathematical analysis and Continuation to produce work in his papers.
His Control theory research is multidisciplinary, incorporating elements of Lateral inhibition, Product rule, Hebbian theory and Learning rule.
His Motor coordination research is included under the broader classification of Neuroscience.
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