Larry Abbott

Q: What Schools Are Affiliated With Larry Abbott

Larry Abbott is affiliated with the following schools: California Institute of Technology, Columbia University, Brandeis University

Larry Abbott's AcademicInfluence.com Rankings

Larry Abbott

Biology

#2397

World Rank

#3807

Historical Rank

#1074

USA Rank

Neuroscience

#300

World Rank

#316

Historical Rank

#112

USA Rank

biology Degrees

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Biology

Larry Abbott's Degrees

PhD Physics California Institute of Technology

Why Is Larry Abbott Influential?

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According to Wikipedia, Laurence Frederick Abbott is an American theoretical neuroscientist, who is currently the William Bloor Professor of Theoretical Neuroscience at Columbia University, where he helped create the Center for Theoretical Neuroscience. He is widely regarded as one of the leaders of theoretical neuroscience, and is coauthor, along with Peter Dayan, on the first comprehensive textbook on theoretical neuroscience, which is considered to be the standard text for students and researchers entering theoretical neuroscience. He helped invent the dynamic clamp method alongside Eve Marder.

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Larry Abbott's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

The neuronal architecture of the mushroom body provides a logic for associative learning (2014) (704)
Activity-dependent changes in the intrinsic properties of cultured neurons. (1994) (498)
Dynamic clamp: computer-generated conductances in real neurons. (1993) (443)
Global Structure, Robustness, and Modulation of Neuronal Models (2001) (373)
Random Convergence of Olfactory Inputs in the Drosophila Mushroom Body (2013) (362)
Activity-dependent regulation of conductances in model neurons. (1993) (338)
The dynamic clamp: artificial conductances in biological neurons (1993) (328)
Failure of averaging in the construction of a conductance-based neuron model. (2002) (313)
Transfer of coded information from sensory to motor networks (1995) (302)
The dynamic clamp comes of age (2004) (293)
Memory from the dynamics of intrinsic membrane currents. (1996) (292)
Activity-Dependent Regulation of Potassium Currents in an Identified Neuron of the Stomatogastric Ganglion of the Crab Cancer borealis (1999) (221)
Optimal Degrees of Synaptic Connectivity (2017) (211)
Network Stability from Activity-Dependent Regulation of Neuronal Conductances (1999) (178)
The effect of electrical coupling on the frequency of model neuronal oscillators. (1990) (165)
Generating sparse and selective third-order responses in the olfactory system of the fly (2010) (139)
Reduction of conductance-based neuron models (1992) (122)
Neuropeptide feedback modifies odor-evoked dynamics in C. elegans olfactory neurons (2010) (115)
Temporal Responses of C. elegans Chemosensory Neurons Are Preserved in Behavioral Dynamics (2014) (111)
Cellular short-term memory from a slow potassium conductance. (1996) (111)
Temporal Dynamics of Graded Synaptic Transmission in the Lobster Stomatogastric Ganglion (1997) (110)
Activity-dependent current distributions in model neurons. (1994) (92)
Temporal dynamics of convergent modulation at a crustacean neuromuscular junction. (1998) (91)
Activity-dependent modification of inhibitory synapses in models of rhythmic neural networks (2001) (87)
Neuromodulation of Spike-Timing Precision in Sensory Neurons (2006) (57)
Decoding Synapses (1996) (49)
Theory in motion (1995) (39)
Encoding of muscle movement on two time scales by a sensory neuron that switches between spiking and bursting modes. (1999) (38)
Odor Perception on the Two Sides of the Brain: Consistency Despite Randomness (2018) (38)
Physiological Insights from Cellular and Network Models of the Stomatogastric Nervous System of Lobsters and Crabs (1993) (22)
Hybrid Circuits of Interacting Computer Model and Biological Neurons (1992) (16)
Flygenvectors: The spatial and temporal structure of neural activity across the fly brain (2021) (15)
Evolving the olfactory system with machine learning (2021) (9)
Modification of Oscillator Function by Electrical Coupling to Nonoscillatory Neurons (1992) (9)
Dependence of firing pattern on intrinsic ionic conductances: Sensitive and insensitive combinations (2000) (8)
Neuronal Computations with (2006) (6)
Activity-dependent regulation of neuronal conductances (1998) (5)
Sparse balance: Excitatory-inhibitory networks with small bias currents and broadly distributed synaptic weights (2021) (5)
CONDUCTANCE INJECTION. AUTHORS' REPLY (1994) (4)
Network Stability from Activity-Dependent Regulation of (1999) (4)
Meta-learning local synaptic plasticity for continual familiarity detection (2021) (3)
Dynamic clamp: computer-neural hybrids (1998) (3)
Oscillating networks: modeling the pyloric circuit of the stomatogastric ganglion (1990) (3)
Evolving the Olfactory System (2019) (2)
State and stimulus dependence reconcile motion computation and the Drosophila connectome (2021) (2)
Self-Assembly of Oscillatory Neurons and Networks (1999) (2)
The Imposition of Value on Odor: Transient and Persistent Representations of Odor Value in Prefrontal Cortex (2019) (2)
Computational Implications of a Serotonin-Sensitive Region of Axonal Membrane On a Dual Function Motor Neuron (1993) (2)
Author response: The neuronal architecture of the mushroom body provides a logic for associative learning (2014) (1)
The dynamic damp: artificial condudances in biological ReuroR$ (1993) (1)
Modeling Olfactory Discrimination in Drosophila (2007) (1)
Order Reduction for Dynamical Systems Describing the Behavior of Complex Neurons (1990) (1)
Reply (1994) (0)
A detailed map of the neurons that carry information away from the mushroom bodies in the brains of fruit flies has improved our understanding of the ways in which experiences can modify behaviour. (2014) (0)
Activity-Dependent Distributions of Neuronal Conductances (1994) (0)
Odor Perception on the Tw o Sides of the Brain : Consistency Despite Randomness Highlights (2018) (0)
This paper was presented at a colloquium entitled ''Memory: Recording Experience in Cells and Circuits,'' organized by (1996) (0)

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Other Resources About Larry Abbott

en.wikipedia.org

What Schools Are Affiliated With Larry Abbott?

Larry Abbott is affiliated with the following schools:

Larry Abbott's Academic­Influence.com Rankings