What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Neuron
- Artificial intelligence
Larry F. Abbott mainly investigates Neuroscience, Neuron, Stimulus, Hippocampal formation and Membrane potential.
His research in the fields of Excitatory postsynaptic potential, Inhibitory postsynaptic potential and Intrinsic neuron overlaps with other disciplines such as Plasticity and External noise.
In the field of Excitatory postsynaptic potential, his study on Excitatory synapse overlaps with subjects such as Rise time, Chemistry, Synchronization and Excitation.
Larry F. Abbott combines subjects such as Somatosensory system, Shunting inhibition and Premovement neuronal activity with his study of Neuron.
The various areas that Larry F. Abbott examines in his Stimulus study include Functional studies and Content-addressable memory.
His Membrane potential research is multidisciplinary, incorporating perspectives in Nonsynaptic plasticity, Spike-timing-dependent plasticity, Brain mapping and Cortex.
His most cited work include:
- Gain modulation from background synaptic input. (831 citations)
- When inhibition not excitation synchronizes neural firing. (649 citations)
- Cortical Development and Remapping through Spike Timing-Dependent Plasticity (419 citations)
What are the main themes of his work throughout his whole career to date?
Larry F. Abbott focuses on Neuroscience, Artificial intelligence, Sensory system, Artificial neural network and Biological neural network.
Olfactory system, Neuron, Odor, Stimulus and Excitatory postsynaptic potential are subfields of Neuroscience in which his conducts study.
His research in Neuron intersects with topics in Somatosensory system, Shunting inhibition and Inhibitory postsynaptic potential.
His Excitatory synapse study in the realm of Excitatory postsynaptic potential interacts with subjects such as Limiting, Rise time and Synchronization.
His study in the field of Deep learning, Hebbian theory and Representation also crosses realms of Dynamics.
His Sensory system study incorporates themes from Neuronal circuits and Function.
He most often published in these fields:
- Neuroscience (59.32%)
- Artificial intelligence (28.81%)
- Sensory system (13.56%)
What were the highlights of his more recent work (between 2017-2021)?
- Neuroscience (59.32%)
- Sensory system (13.56%)
- Artificial intelligence (28.81%)
In recent papers he was focusing on the following fields of study:
Larry F. Abbott focuses on Neuroscience, Sensory system, Artificial intelligence, Olfactory system and Biological neural network.
Larry F. Abbott combines topics linked to Function with his work on Neuroscience.
His work deals with themes such as Function, Biological system, Hippocampus and Range, which intersect with Sensory system.
When carried out as part of a general Artificial intelligence research project, his work on Representation is frequently linked to work in Mechanism, Process and Meta learning, therefore connecting diverse disciplines of study.
While the research belongs to areas of Olfactory system, he spends his time largely on the problem of Odor, intersecting his research to questions surrounding Piriform cortex.
He studied Biological neural network and Artificial neural network that intersect with Cognitive map.
Between 2017 and 2021, his most popular works were:
- Inferring single-trial neural population dynamics using sequential auto-encoders. (180 citations)
- Generation of stable heading representations in diverse visual scenes. (45 citations)
- Generation of stable heading representations in diverse visual scenes. (45 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Neuron
- Artificial intelligence
Larry F. Abbott mostly deals with Neuroscience, Sensory system, Artificial intelligence, Motor control and Function.
Nervous system and Brain function are among the areas of Neuroscience where the researcher is concentrating his efforts.
His Sensory system research is multidisciplinary, incorporating elements of Sensory motor, Motor neuron, Spinal cord and Connection.
His Sensory cue, Orientation and Representation study in the realm of Artificial intelligence connects with subjects such as Heading and Compass.
The Motor control study combines topics in areas such as Proprioception, Divergence and Neural coding.
His Function study combines topics in areas such as Neuronal circuits and Stimulus modality.
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