L. F. Abbott

  • Columbia University, New York City, USA

According to our database1, L. F. Abbott authored at least 44 papers between 1990 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


Online presence:

On csauthors.net:


Credit Assignment Through Broadcasting a Global Error Vector.
CoRR, 2021

Neural population geometry: An approach for understanding biological and artificial neural networks.
CoRR, 2021

Training dynamically balanced excitatory-inhibitory networks.
CoRR, 2018

Feedback alignment in deep convolutional networks.
CoRR, 2018

full-FORCE: A Target-Based Method for Training Recurrent Networks.
CoRR, 2017

Balanced Excitation and Inhibition are Required for High-Capacity, Noise-Robust Neuronal Selectivity.
CoRR, 2017

Tuning Curves for Arm Posture Control in Motor Cortex Are Consistent with Random Connectivity.
PLoS Comput. Biol., 2016

Stability and Competition in Multi-spike Models of Spike-Timing Dependent Plasticity.
PLoS Comput. Biol., 2016

LFADS - Latent Factor Analysis via Dynamical Systems.
CoRR, 2016

Hierarchical Control Using Networks Trained with Higher-Level Forward Models.
Neural Comput., 2014

A Complex-Valued Firing-Rate Model That Approximates the Dynamics of Spiking Networks.
PLoS Comput. Biol., 2013

Pairwise Analysis Can Account for Network Structures Arising from Spike-Timing Dependent Plasticity.
PLoS Comput. Biol., 2013

Intrinsic Stability of Temporally Shifted Spike-Timing Dependent Plasticity.
PLoS Comput. Biol., 2010

Inferring Stimulus Selectivity from the Spatial Structure of Neural Network Dynamics.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Mechanism of gain modulation at single neuron and network levels.
J. Comput. Neurosci., 2008

Supervised Learning Through Neuronal Response Modulation.
Neural Comput., 2005

Control of network activity through neuronal response modulation.
Neurocomputing, 2004

Synaptic equalization by anti-STDP.
Neurocomputing, 2004

Modeling temporal combination selective neurons of the songbird.
Neurocomputing, 2002

Input-specific adaptation in complex cells through synaptic depression.
Neurocomputing, 2001

Do Simple Cells in Primary Visual Cortex Form a Tight Frame?
Neural Comput., 2000

Gain modulation of recurrent networks.
Neurocomputing, 2000

Temporally asymmetric Hebbian learning and neuronal response variability.
Neurocomputing, 2000

Dependence of firing pattern on intrinsic ionic conductances: Sensitive and insensitive combinations.
Neurocomputing, 2000

A recurrent network model for the phase invariance of complex cell responses.
Neurocomputing, 2000

Network Stability from Activity-Dependent Regulation of Neuronal Conductances.
Neural Comput., 1999

The Effect of Correlated Variability on the Accuracy of a Population Code.
Neural Comput., 1999

Decorrelation of spike trains by synaptic depression.
Neurocomputing, 1999

Self-Assembly of Oscillatory Neurons and Networks.
Proceedings of the Foundations and Tools for Neural Modeling, 1999

Recurrent Cortical Amplification Produces Complex Cell Responses.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Temporally Asymmetric Hebbian Learning, Spike liming and Neural Response Variability.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Learning Navigational Maps Through Potentiation and Modulation of Hippocampal Place Cells.
J. Comput. Neurosci., 1997

A model of spatial map formation in the hippocampus of the rat.
Neural Comput., 1996

Reduced Representation by Neural Networks with Restricted Receptive Fields.
Neural Comput., 1995

When inhibition not excitation synchronizes neural firing.
J. Comput. Neurosci., 1994

Vector reconstruction from firing rates.
J. Comput. Neurosci., 1994

Self-Sustained Firing in Populations of Integrate-and-Fire Neurons.
SIAM J. Appl. Math., 1993

Analysis of Neuron Models with Dynamically Regulated Conductances.
Neural Comput., 1993

Reduction of conductance-based neuron models.
Biol. Cybern., 1992

Hybrid Circuits of Interacting Computer Model and Biological Neurons.
Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

Oscillating Networks: Control of Burst Duration by Electrically Coupled Neurons.
Neural Comput., 1991

The path integral for dendritic trees.
Biol. Cybern., 1991

Order Reduction for Dynamical Systems Describing the Behavior of Complex Neurons.
Proceedings of the Advances in Neural Information Processing Systems 3, 1990

Oscillating networks: modeling the pyloric circuit of the stomatogastric ganglion.
Proceedings of the IJCNN 1990, 1990