S. Solla

发表

Structural Risk Minimization for Character Recognition

Isabelle Guyon, Léon Bottou, Bernhard E. Boser, 1991, NIPS.

Optimal Brain Damage

Yann LeCun, Sara A. Solla, John S. Denker, 1989, NIPS.

Large Automatic Learning, Rule Extraction, and Generalization

Lawrence D. Jackel, Richard E. Howard, D. B. Schwartz, 1987, Complex Syst..

Optical Character Recognition and Neural-Net Chips

Lawrence D. Jackel, Isabelle Guyon, Bernhard E. Boser, 1990 .

Accelerated Learning in Layered Neural Networks

Esther Levin, Sara A. Solla, Michael Fleisher, 1988, Complex Syst..

A statistical approach to learning and generalization in layered neural networks

Esther Levin, Naftali Tishby, Sara A. Solla, 1989, Proc. IEEE.

Capacity control in linear classifiers for pattern recognition

Isabelle Guyon, Léon Bottou, Bernhard E. Boser, 1992, Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol.II. Conference B: Pattern Recognition Methodology and Systems.

Exhaustive Learning

Vijay K. Samalam, D. B. Schwartz, Sara A. Solla, 1990, Neural Computation.

Learning Curves: Asymptotic Values and Rate of Convergence

Lawrence D. Jackel, Corinna Cortes, Sara A. Solla, 1993, NIPS.

A statistical approach to learning and generalization in layered neural networks

Esther Levin, Naftali Tishby, Sara A. Solla, 1989, COLT '89.

Modulation of striatal single units by expected reward: a spiny neuron model displaying dopamine-induced bistability.

J. Houk, S. Solla, D. Surmeier, 2003, Journal of neurophysiology.

Advances in neural information processing systems : proceedings of the ... conference

Thomas G. Dietterich, Richard P. Lippmann, Klaus-Robert Müller, 1989 .

Toward the Restoration of Hand Use to a Paralyzed Monkey: Brain-Controlled Functional Electrical Stimulation of Forearm Muscles

S. Solla, K. Kilgore, L. Miller, 2009, PloS one.

Amplification in the auditory periphery: the effect of coupling tuning mechanisms.

S. Solla, K. Montgomery, M. Silber, 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

Consistent and Minimal Springback Using a Stepped Binder Force Trajectory and Neural Network Control

S. Solla, Jian Cao, B. Kinsey, 2000 .

Dopamine modulation in the basal ganglia locks the gate to working memory

Boris S. Gutkin, Peter Dayan, Aaron J. Gruber, 2006, Journal of Computational Neuroscience.

Configuration Space Analysis for Optimization Problems

Steve R. White, Sara A. Solla, Gregory B. Sorkin, 1986 .

Self-sustained activity in a small-world network of excitable neurons.

S. Solla, Alex Roxin, Hermann Riecke, 2003, Physical review letters.

Adversarial Domain Adaptation for Stable Brain-Machine Interfaces pdf

Yoshua Bengio, Joseph Paul Cohen, Lee E. Miller, 2018, ICLR.

Unexpected complexity of everyday manual behaviors

Sliman J. Bensmaia, James M. Goodman, Sara A. Solla, 2020, Nature Communications.

Top-down laminar organization of the excitatory network in motor cortex

Jianing Yu, Nicholas Weiler, Sara A Solla, 2008, Nature Neuroscience.

Multiple attractors, long chaotic transients, and failure in small-world networks of excitable neurons.

S. Solla, Alex Roxin, Hermann Riecke, 2007, Chaos.

Memory networks with asymmetric bonds

S. Solla, J. Hertz, G. Grinstein, 1987 .

Consistent inference of probabilities in layered networks: predictions and generalizations

Naftali Tishby, S. Solla, E. Levin, 1989, International 1989 Joint Conference on Neural Networks.

Decoupling kinematics and mechanics reveals coding properties of trigeminal ganglion neurons in the rat vibrissal system

Lucie A. Huet, Christopher L. Schroeder, S. Solla, 2016, eLife.

Second Order Properties of Error Surfaces: Learning Time and Generalization

Yann LeCun, S. Solla, I. Kanter, 1990, NIPS 1990.

Dynamics of On-Line Gradient Descent Learning for Multilayer Neural Networks

David Saad, Sara A. Solla, D. Saad, 1995, NIPS.

A stable, long-term cortical signature underlying consistent behavior

Raeed H. Chowdhury, S. Solla, L. Miller, 2018, bioRxiv.

The Cambridge Handbook of Computational Psychology: Models of Motor Control

Ferdinando A. Mussa-Ivaldi, Sara A. Solla, S. Solla, 2008 .

A renormalization group approach to the stick-slip behavior of faults

Sara A. Solla, Donald L. Turcotte, S. Solla, 1985 .

A novel approach to the empirical characterization of learning in biological systems

S. Solla, P. Cvitanović, Y. Cohen, 2021, bioRxiv.

Multi-Locus Nonparametric Linkage Analysis of Complex Trait Loci with Neural Networks

Sara A. Solla, Jens Hanke, S. Solla, 1998, Human Heredity.

Dynamics of supervised learning with restricted training sets and noisy teachers

Klaus-Robert Müller, Sara A. Solla, T. K. Leen, 2000, NIPS 2000.

Optimal perceptron learning: as online Bayesian approach

Ole Winther, Sara A. Solla, S. Solla, 1999 .

Second Order Properties of Error Surfaces

Yann LeCun, Ido Kanter, Sara A. Solla, 1990, NIPS.

Proceedings of the 12th International Conference on Neural Information Processing Systems

Klaus-Robert Müller, Sara A. Solla, Sara A. Solla, 1999 .

Advances in neural information processing systems: Proceedings of the first 12 conferences (CDROM)

Yann LeCun, Sara A. Solla, Michael I. Jordan, 2001 .

Advances in Neural Information Processing Systems 1, [NIPS Conference, Denver, Colorado, USA, 1988]

Michael I. Jordan, Sara A. Solla, Michael Kearns, 1989, NIPS.

Effects of Neural Heterogeneity on Spiking Neural Network Dynamics

S. Solla, A. Kennedy, Richard Gast, 2022, 2206.08813.

Recursive Single-Layer Nets for Output Error Dynamic Models

Lawrence D. Jackel, John J. Hopfield, D. B. Schwartz, 1995 .

[19] H. Muhlenbein, M. Georges-Schleuter, and O. Kramer, \Evolution Algorithms in Combinatorial Optimization," Parallel Computing 7 (1988), pp. 65{85.

S. Solla, G. Sorkin, 1998 .

Series foreword

Terrence J. Sejnowski, Michael I. Jordan, Sara A. Solla, 2003 .

Statistical characterization of tactile scenes in three-dimensional environments reveals filter properties of somatosensory cortical neurons

S. Solla, M. Hartmann, Nadina O. Zweifel, 2022, bioRxiv.

Macroscopic dynamics of neural networks with heterogeneous spiking thresholds.

S. Solla, A. Kennedy, Richard Gast, 2022, Physical review. E.

Abstracts from the CECAM workshop on computer simulations of cellular automata

Stéphane Roux, Dietrich Stauffer, Marc Mézard, 1989 .

Optimal online learning: a Bayesian approach

S. Solla, O. Winther, 1999 .

Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution

Eero P. Simoncelli, Doris Y. Tsao, Adam H. Marblestone, 2022, ArXiv.

Monkey-to-human transfer of brain-computer interface decoders

Kevin L. Bodkin, S. Solla, L. Miller, 2022, bioRxiv.

Dopamine Modulation in a Basal Ganglio-Cortical Network of Working Memory

Peter Dayan, Aaron J. Gruber, Sara A. Solla, 2003, NIPS 2003.

Effects of Neural Heterogeneity on Spiking Neural Network Dynamics

S. Solla, A. Kennedy, Richard Gast, 2022, 2206.08813.

Proc. 7th Italian Workshop on Neural Networks WIRN 1995

Michael Biehl, Sara A. Solla, Carmela Marangi, 1996 .

Frontiers in Systems Neuroscience Systems Neuroscience

Lee E. Miller, Sara A. Solla, Ian H. Stevenson, 2022 .

The dynamics of motor learning through the formation of internal models

Ferdinando A. Mussa-Ivaldi, Maura Casadio, Camilla Pierella, 2019, bioRxiv.

Neural primitives for motion control

F.A. Mussa-Ivaldi, S.A. Solla, S. Solla, 2004, IEEE Journal of Oceanic Engineering.

Continuous, multidimensional coding of 3D complex tactile stimuli by primary sensory neurons of the vibrissal system

S. Solla, M. Hartmann, Nicholas E. Bush, 2019, Proceedings of the National Academy of Sciences.

Identification of Multiple-Input Systems with Highly Coupled Inputs: Application to EMG Prediction from Multiple Intracortical Electrodes

David T. Westwick, Lee E. Miller, Sara A. Solla, 2006, Neural Computation.

Optimal Input Selection for MISO Systems Identification: Applications to BMIs

E.J. Perreault, D.T. Westwick, E.A. Pohlmeyer, 2005, Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005..

Evolutionary expansion and specialization of the PDZ domains.

Todd H. Oakley, S. Solla, O. Egecioglu, 2010, Molecular biology and evolution.

Universal Distribution of Saliencies for Pruning in Layered Neural Networks

Lars Kai Hansen, Benny Lautrup, Jan Gorodkin, 1997, Int. J. Neural Syst..

Whisking mechanics and active sensing

Sara A Solla, Nicholas E Bush, Mitra JZ Hartmann, 2016, Current Opinion in Neurobiology.

Building a hierarchy with neural networks: an example-image vector quantization.

W. Hubbard, L. D. Jackel, R. E. Howard, 1987, Applied optics.

Neural Manifolds for the Control of Movement

Lee E. Miller, Sara A. Solla, Juan A. Gallego, 2017, Neuron.

Dopamine Modulation in a Basal Ganglio-cortical Network Implements Saliency-based Gating of Working Memory

Boris S. Gutkin, Peter Dayan, Aaron J. Gruber, 2003, NIPS.

Cortical population activity within a preserved neural manifold underlies multiple motor behaviors

Christian Ethier, Matthew G Perich, Lee E Miller, 2018, Nature Communications.

Unexpected complexity of everyday manual behaviors

Sliman J. Bensmaia, James M. Goodman, Yuke Yan, 2019, Nature Communications.

Vortex excitations and specific heat of the planar model in two dimensions

S. Solla, E. Riedel, 1981 .

Multi-electrode stimulation in somatosensory cortex increases probability of detection

Lee E Miller, Sara A Solla, Ricardo Ruiz-Torres, 2013, Journal of neural engineering.

Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution

Eero P. Simoncelli, Doris Y. Tsao, Adam H. Marblestone, 2022, ArXiv.

Cortical population activity within a preserved neural manifold underlies multiple motor behaviors

S. Solla, L. Miller, C. Ethier, 2018, Nature Communications.

Irreversible spin glasses and neural networks

J. A. Hertz, G. Grinstein, S. A. Solla, 1987 .

Biomimetic Brain Machine Interfaces for the Control of Movement

Shamim Nemati, Nicholas G Hatsopoulos, Dennis C. Tkach, 2007, The Journal of Neuroscience.

Estimating the dimensionality of the manifold underlying multi-electrode neural recordings

Lee E. Miller, Sara A. Solla, Eric J. Perreault, 2020, bioRxiv.

Catalyzing next-generation Artificial Intelligence through NeuroAI

Eero P. Simoncelli, Konrad Paul Kording, Blake A. Richards, 2023, Nature Communications.

Long-Term Stability of Motor Cortical Activity: Implications for Brain Machine Interfaces and Optimal Feedback Control

Robert D Flint, Marc W Slutzky, Zachary A Wright, 2016, The Journal of Neuroscience.

Prediction of upper limb muscle activity from motor cortical discharge during reaching

Lee E Miller, Eric A Pohlmeyer, Eric J Perreault, 2007, Journal of neural engineering.

Long-term stability of cortical population dynamics underlying consistent behavior

Lee E. Miller, Sara A. Solla, Juan A. Gallego, 2019, Nature Neuroscience.

Neural Networks for Modeling Neural Spiking in S1 Cortex

Aggelos K. Katsaggelos, Lee E. Miller, Sara A. Solla, 2019, Front. Syst. Neurosci..

A stable, long - term cortical signature underlying consistent behavior

Lee E. Miller, Sara A. Solla, Matthew G. Perich, 2018 .

Low-dimensional neural manifolds for the control of constrained and unconstrained movements

S. Solla, L. Miller, E. Perreault, 2023, bioRxiv.

Long-term stability of cortical population dynamics underlying consistent behavior

Raeed H. Chowdhury, S. Solla, L. Miller, 2020, Nature Neuroscience.

On-line learning in soft committee machines.

Saad, Solla, S. Solla, 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

Learning with Noise and Regularizers in Multilayer Neural Networks

David Saad, Sara A. Solla, D. Saad, 1996, NIPS.

Eigenvalues of covariance matrices: Application to neural-network learning.

Kanter, Solla, Y. L. Cun, 1991, Physical review letters.

Learning contiguity with layered neural networks

Sara A. Solla, S. Solla, 1988, Neural Networks.

Multiple tasks viewed from the neural manifold: Stable control of varied behavior

Lee E. Miller, Christian Ethier, Sara A. Solla, 2017, bioRxiv.

Adaptive neuron-to-EMG decoder training for FES neuroprostheses

Christian Ethier, Lee E Miller, Sara A Solla, 2016, Journal of neural engineering.

Rewiring Neural Interactions by Micro-Stimulation

Ian H. Stevenson, Konrad Paul Kording, James M. Rebesco, 2010, Frontiers in Systems Neuroscience.

In vitro validation of in silico identified inhibitory interactions

Daniel Bridges, Connor Randall, Sara A. Solla, 2019, Journal of Neuroscience Methods.

Use of a Neural Circuit Probe to Validate in silico Predictions of Inhibitory Connections

Kristofer E. Bouchard, Xifeng Yan, Honglei Liu, 2017, bioRxiv.

Frontiers in Systems Neuroscience Systems Neuroscience

Ian H. Stevenson, Konrad Paul Kording, James M. Rebesco, 2022 .

Exact solution for on-line learning in multilayer neural networks.

Saad, Solla, S. Solla, 1995, Physical review letters.

From monkeys to humans: observation-based EMG brain–computer interface decoders for humans with paralysis

Kevin L. Bodkin, S. Solla, A. Kennedy, 2023, Journal of neural engineering.

Neural heterogeneity controls computations in spiking neural networks

S. Solla, Richard Gast, Ann Kennedy, 2024, Proceedings of the National Academy of Sciences of the United States of America.