Emergent neural dynamics and geometry for generalization in a transitive inference task.
PLoS Comput. Biol., 2024
Theory of coupled neuronal-synaptic dynamics.
CoRR, 2023
Sparse RNNs can support high-capacity classification.
PLoS Comput. Biol., December, 2022
Input correlations impede suppression of chaos and learning in balanced firing-rate networks.
PLoS Comput. Biol., December, 2022
Sparse balance: Excitatory-inhibitory networks with small bias currents and broadly distributed synaptic weights.
PLoS Comput. Biol., 2022
Dimension of Activity in Random Neural Networks.
CoRR, 2022
The Implicit Bias of Gradient Descent on Generalized Gated Linear Networks.
CoRR, 2022
Input correlations impede suppression of chaos and learning in balanced rate networks.
CoRR, 2022
Neural population geometry: An approach for understanding biological and artificial neural networks.
CoRR, 2021
Credit Assignment Through Broadcasting a Global Error Vector.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 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