L F Abbott

L F Abbott

Columbia University in the City of New York

H-index: 111

North America-United States

About L F Abbott

L F Abbott, With an exceptional h-index of 111 and a recent h-index of 65 (since 2020), a distinguished researcher at Columbia University in the City of New York, specializes in the field of Theoretical Neuroscience.

His recent articles reflect a diverse array of research interests and contributions to the field:

Converting an allocentric goal into an egocentric steering signal

Emergent neural dynamics and geometry for generalization in a transitive inference task

Theory of coupled neuronal-synaptic dynamics

Representations of information value in mouse orbitofrontal cortex during information seeking

Dimension of activity in random neural networks

Hue selectivity from recurrent circuitry in Drosophila

Memorization and consolidation in associative memory networks

A mathematical theory of relational generalization in transitive inference

L F Abbott Information

University

Position

Brandeis University CERN Boston University Stanford Linear Accelerator

Citations(all)

62908

Citations(since 2020)

19029

Cited By

51612

hIndex(all)

111

hIndex(since 2020)

65

i10Index(all)

253

i10Index(since 2020)

162

Email

University Profile Page

Columbia University in the City of New York

Google Scholar

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L F Abbott Skills & Research Interests

Theoretical Neuroscience

Top articles of L F Abbott

Title

Journal

Author(s)

Publication Date

Converting an allocentric goal into an egocentric steering signal

Nature

Peter Mussells Pires

Lingwei Zhang

Victoria Parache

LF Abbott

Gaby Maimon

2024/2/7

Emergent neural dynamics and geometry for generalization in a transitive inference task

bioRxiv

Kenneth Kay

Natalie Biderman

Ramin Khajeh

Manuel Beiran

Christopher J Cueva

...

2023

Theory of coupled neuronal-synaptic dynamics

arXiv preprint arXiv:2302.08985

David G Clark

LF Abbott

2023/2/17

Representations of information value in mouse orbitofrontal cortex during information seeking

bioRxiv

Jennifer J Bussell

Ryan P Badman

Christian David Márton

Ethan S Bromberg-Martin

LF Abbott

...

2023

Dimension of activity in random neural networks

Physical Review Letters

David G Clark

LF Abbott

Ashok Litwin-Kumar

2023/9/11

Hue selectivity from recurrent circuitry in Drosophila

bioRxiv

Matthias P Christenson

Alvaro Sanz Diez

Sarah L Heath

Maia Saavedra-Weisenhaus

Atsuko Adashi

...

2023

Memorization and consolidation in associative memory networks

Danil Tyulmankov

Kim Stachenfeld

Dmitry Krotov

Larry Abbott

2023/11/26

A mathematical theory of relational generalization in transitive inference

bioRxiv

Samuel Lippl

Kenneth Kay

Greg Jensen

Vincent P Ferrera

LF Abbott

2023/8/23

Neuronal calcium spikes enable vector inversion in the Drosophila brain

bioRxiv

Itzel G Ishida

Sachin Sethi

Thomas L Mohren

LF Abbott

Gaby Maimon

2023/11/24

A mechanism for differential control of axonal and dendritic spiking underlying learning in a cerebellum-like circuit

Current Biology

Salomon Z Muller

LF Abbott

Nathaniel B Sawtell

2023/7/10

Neural learning rules for generating flexible predictions and computing the successor representation

Elife

Ching Fang

Dmitriy Aronov

Larry F Abbott

Emily L Mackevicius

2023/3/16

Lyapunov spectra of chaotic recurrent neural networks

Physical Review Research

Rainer Engelken

Fred Wolf

Larry F Abbott

2023/10/16

The centrality of population-level factors to network computation is demonstrated by a versatile approach for training spiking networks

Neuron

Brian DePasquale

David Sussillo

LF Abbott

Mark M Churchland

2023/3/1

The spatial and temporal structure of neural activity across the fly brain

Nature Communications

Evan S Schaffer

Neeli Mishra

Matthew R Whiteway

Wenze Li

Michelle B Vancura

...

2023/9/11

Flexible neural control of motor units

Nature neuroscience

Najja J Marshall

Joshua I Glaser

Eric M Trautmann

Elom A Amematsro

Sean M Perkins

...

2022/11

Building an allocentric travelling direction signal via vector computation

Nature

Cheng Lyu

LF Abbott

Gaby Maimon

2022/1/6

Neural dynamics and geometry for transitive inference

bioRxiv

Kenneth Kay

Xue-Xin Wei

Ramin Khajeh

Manuel Beiran

Christopher J Cueva

...

2022

Remembering Hirsh Cohen and His Role in Developing Computational Neuroscience

Eneuro

LF Abbott

Eve Marder

2022/7/1

Sparse RNNs can support high-capacity classification

PLOS Computational Biology

Denis Turcu

LF Abbott

2022/12/14

Sparse balance: Excitatory-inhibitory networks with small bias currents and broadly distributed synaptic weights

PLOS Computational Biology

Ramin Khajeh

Francesco Fumarola

LF Abbott

2022/2/9

See List of Professors in L F Abbott University(Columbia University in the City of New York)