2014 - Member of the National Academy of Sciences
2013 - Mathematical Neuroscience Prize, Israel Brain Technologies (IBT)
2010 - Swartz Prize for Theoretical and Computational Neuroscience
2008 - Fellow of the American Association for the Advancement of Science (AAAS)
2004 - National Institutes of Health Director's Pioneer Award
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.
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.
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.
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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Gain modulation from background synaptic input.
Frances S Chance;L.F Abbott;Alex D Reyes.
When inhibition not excitation synchronizes neural firing.
Carl Van Vreeswijk;L. F. Abbott;G. Bard Ermentrout.
Journal of Computational Neuroscience (1994)
The neuronal architecture of the mushroom body provides a logic for associative learning
Yoshinori Aso;Daisuke Hattori;Yang Yu;Rebecca M. Johnston.
Lapicque's introduction of the integrate-and-fire model neuron (1907).
Brain Research Bulletin (1999)
A Quantitative Description of Short-Term Plasticity at Excitatory Synapses in Layer 2/3 of Rat Primary Visual Cortex
Juan A. Varela;Kamal Sen;Jay Gibson;Jay Gibson;Joshua Fost.
The Journal of Neuroscience (1997)
Vector reconstruction from firing rates
Emilio Salinas;L. F. Abbott.
Journal of Computational Neuroscience (1994)
Cortical Development and Remapping through Spike Timing-Dependent Plasticity
Sen Song;L.F. Abbott.
Signal Propagation and Logic Gating in Networks of Integrate-and-Fire Neurons
Tim P. Vogels;L. F. Abbott.
The Journal of Neuroscience (2005)
Synaptic Depression and the Temporal Response Characteristics of V1 Cells
Frances S. Chance;Sacha B. Nelson;L. F. Abbott.
The Journal of Neuroscience (1998)
Global structure, robustness, and modulation of neuronal models.
Mark S. Goldman;Jorge Golowasch;Eve Marder;L. F. Abbott.
The Journal of Neuroscience (2001)
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