What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Neuron
- Artificial intelligence
Neuroscience, Neuron, Neocortex, Membrane potential and Dendritic spine are his primary areas of study.
Idan Segev interconnects Time constant and Anatomy in the investigation of issues within Neuroscience.
His research investigates the connection between Neuron and topics such as Dendrite that intersect with problems in Ionic conductance.
His Neocortex research is multidisciplinary, incorporating perspectives in Synapse, Time perception and Neurotransmission.
His work carried out in the field of Soma brings together such families of science as Machine learning, Ion channel and Pyramidal cell.
His research in Dendritic spike intersects with topics in Cortical column and Artificial intelligence.
His most cited work include:
- Reconstruction and Simulation of Neocortical Microcircuitry (782 citations)
- Methods in Neuronal Modeling (626 citations)
- Methods in Neuronal Modeling: From Ions to Networks (472 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Neuroscience, Neuron, Soma, Artificial intelligence and Axon.
His research investigates the connection with Neuroscience and areas like Synaptic plasticity which intersect with concerns in Long-term potentiation.
The various areas that Idan Segev examines in his Neuron study include Somatosensory system, Cortical neurons, Electrophysiology, Artificial neural network and Synapse.
His work in Soma tackles topics such as Biological system which are related to areas like Nonlinear system.
He focuses mostly in the field of Artificial intelligence, narrowing it down to matters related to Pyramidal cell and, in some cases, Cortical column.
His Dendritic spine study combines topics from a wide range of disciplines, such as Cerebellum and Spine.
He most often published in these fields:
- Neuroscience (65.87%)
- Neuron (27.54%)
- Soma (22.16%)
What were the highlights of his more recent work (between 2017-2021)?
- Neuroscience (65.87%)
- Neuron (27.54%)
- Artificial intelligence (16.17%)
In recent papers he was focusing on the following fields of study:
Idan Segev mainly focuses on Neuroscience, Neuron, Artificial intelligence, Excitatory postsynaptic potential and Soma.
His Neuroscience research incorporates themes from Synaptic plasticity and Dynamics.
His studies in Neuron integrate themes in fields like Structural plasticity, Synapse and Somatosensory system.
As part of the same scientific family, he usually focuses on Somatosensory system, concentrating on Cortical neurons and intersecting with Electrophysiology.
His Artificial intelligence study combines topics in areas such as Machine learning and Pattern recognition.
His Soma study incorporates themes from Artificial neural network, Biological system and Nonlinear system.
Between 2017 and 2021, his most popular works were:
- Human Cortical Pyramidal Neurons: From Spines to Spikes via Models. (42 citations)
- Human cortical expansion involves diversification and specialization of supragranular intratelencephalic-projecting neurons (23 citations)
- Whole-Neuron Synaptic Mapping Reveals Spatially Precise Excitatory/Inhibitory Balance Limiting Dendritic and Somatic Spiking. (22 citations)
In his most recent research, the most cited papers focused on:
- Neuron
- Neuroscience
- Artificial intelligence
His primary areas of investigation include Neuron, Neuroscience, Somatosensory system, Excitatory postsynaptic potential and Structural plasticity.
His Neuron research includes themes of Soma and Reduced model.
He does research in Neuroscience, focusing on Neocortex specifically.
His Neocortex research includes elements of Dendritic spine, AMPA receptor and Temporal cortex.
His Excitatory postsynaptic potential research integrates issues from Neuronal firing and Biological neural network.
His research integrates issues of Embedding, Cortical neurons and Electrophysiology in his study of Structural plasticity.
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