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Sara A. Solla
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2020 – today
- 2022
- [i2]Anthony Zador, Blake A. Richards, Bence Ölveczky, Sean Escola, Yoshua Bengio, Kwabena Boahen, Matthew M. Botvinick, Dmitri B. Chklovskii, Anne Churchland, Claudia Clopath
, James DiCarlo, Surya Ganguli, Jeff Hawkins, Konrad P. Körding, Alexei A. Koulakov, Yann LeCun, Timothy P. Lillicrap, Adam H. Marblestone, Bruno A. Olshausen, Alexandre Pouget, Cristina Savin, Terrence J. Sejnowski, Eero P. Simoncelli, Sara A. Solla, David Sussillo, Andreas S. Tolias, Doris Tsao:
Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution. CoRR abs/2210.08340 (2022) - 2021
- [j10]Ege Altan
, Sara A. Solla, Lee E. Miller
, Eric J. Perreault
:
Estimating the dimensionality of the manifold underlying multi-electrode neural recordings. PLoS Comput. Biol. 17(11) (2021)
2010 – 2019
- 2019
- [j9]Camilla Pierella
, Maura Casadio, Ferdinando A. Mussa-Ivaldi, Sara A. Solla:
The dynamics of motor learning through the formation of internal models. PLoS Comput. Biol. 15(12) (2019) - [c14]Ali Farshchian, Juan Alvaro Gallego, Joseph Paul Cohen, Yoshua Bengio, Lee E. Miller, Sara A. Solla:
Adversarial Domain Adaptation for Stable Brain-Machine Interfaces. ICLR (Poster) 2019 - 2018
- [i1]Ali Farshchian, Juan Alvaro Gallego, Joseph Paul Cohen, Yoshua Bengio, Lee E. Miller, Sara A. Solla:
Adversarial Domain Adaptation for Stable Brain-Machine Interfaces. CoRR abs/1810.00045 (2018)
2000 – 2009
- 2006
- [j8]Aaron J. Gruber
, Peter Dayan
, Boris S. Gutkin
, Sara A. Solla:
Dopamine modulation in the basal ganglia locks the gate to working memory. J. Comput. Neurosci. 20(2): 153-166 (2006) - [j7]David T. Westwick
, Eric A. Pohlmeyer, Sara A. Solla, Lee E. Miller, Eric J. Perreault
:
Identification of Multiple-Input Systems with Highly Coupled Inputs: Application to EMG Prediction from Multiple Intracortical Electrodes. Neural Comput. 18(2): 329-355 (2006) - 2003
- [c13]Aaron J. Gruber, Peter Dayan, Boris S. Gutkin, Sara A. Solla:
Dopamine Modulation in a Basal Ganglio-cortical Network Implements Saliency-based Gating of Working Memory. NIPS 2003: 1271-1278 - 2002
- [c12]Aaron J. Gruber, Sara A. Solla, James C. Houk:
Dopamine Induced Bistability Enhances Signal Processing in Spiny Neurons. NIPS 2002: 165-172 - 2000
- [e3]Sara A. Solla, Todd K. Leen, Klaus-Robert Müller:
Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29 - December 4, 1999]. The MIT Press 2000, ISBN 0-262-19450-3 [contents]
1990 – 1999
- 1999
- [e2]Michael J. Kearns, Sara A. Solla, David A. Cohn:
Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30 - December 5, 1998]. The MIT Press 1999, ISBN 0-262-11245-0 [contents] - 1998
- [e1]Michael I. Jordan, Michael J. Kearns, Sara A. Solla:
Advances in Neural Information Processing Systems 10, [NIPS Conference, Denver, Colorado, USA, 1997]. The MIT Press 1998, ISBN 0-262-10076-2 [contents] - 1997
- [j6]Jan Gorodkin, Lars Kai Hansen
, Benny Lautrup, Sara A. Solla:
Universal Distribution of Saliencies for Pruning in Layered Neural Networks. Int. J. Neural Syst. 8(5-6): 489-498 (1997) - [c11]Ole Winther, Sara A. Solla:
Bayesian online learning in the perceptron. ESANN 1997 - 1996
- [c10]David Saad, Sara A. Solla:
Learning with Noise and Regularizers in Multilayer Neural Networks. NIPS 1996: 260-266 - 1995
- [c9]David Saad, Sara A. Solla:
Dynamics of On-Line Gradient Descent Learning for Multilayer Neural Networks. NIPS 1995: 302-308 - 1993
- [c8]Corinna Cortes, Lawrence D. Jackel, Sara A. Solla, Vladimir Vapnik, John S. Denker:
Learning Curves: Asymptotic Values and Rate of Convergence. NIPS 1993: 327-334 - 1992
- [c7]Isabelle Guyon, Vladimir Vapnik, Bernhard E. Boser, Léon Bottou, Sara A. Solla:
Capacity control in linear classifiers for pattern recognition. ICPR (2) 1992: 385-388 - 1991
- [c6]Isabelle Guyon, Vladimir Vapnik, Bernhard E. Boser, Léon Bottou, Sara A. Solla:
Structural Risk Minimization for Character Recognition. NIPS 1991: 471-479 - 1990
- [j5]Daniel B. Schwartz, Vijay K. Samalam, Sara A. Solla, John S. Denker:
Exhaustive Learning. Neural Comput. 2(3): 374-385 (1990) - [j4]Esther Levin, Naftali Tishby, Sara A. Solla:
A statistical approach to learning and generalization in layered neural networks. Proc. IEEE 78(10): 1568-1574 (1990) - [c5]Lawrence D. Jackel, Bernhard E. Boser, John S. Denker, Hans Peter Graf, Yann LeCun, Isabelle Guyon, Donnie Henderson, Richard E. Howard, Wayne E. Hubbard, Sara A. Solla:
Hardware requirements for neural-net optical character recognition. IJCNN 1990: 855-861 - [c4]Rodolfo A. Milito, Isabelle Guyon, Sara A. Solla:
Neural Network Implementation of Admission Control. NIPS 1990: 493-499 - [c3]Yann LeCun, Ido Kanter, Sara A. Solla:
Second Order Properties of Error Surfaces. NIPS 1990: 918-924
1980 – 1989
- 1989
- [c2]Esther Levin, Naftali Tishby, Sara A. Solla:
A Statistical Approach to Learning and Generalization in Layered Neural Networks. COLT 1989: 245-260 - [c1]Yann LeCun, John S. Denker, Sara A. Solla:
Optimal Brain Damage. NIPS 1989: 598-605 - 1988
- [j3]Sara A. Solla, Esther Levin, Michael Fleisher:
Accelerated Learning in Layered Neural Networks. Complex Syst. 2(6) (1988) - [j2]Sara A. Solla:
Learning contiguity with layered neural networks. Neural Networks 1(Supplement-1): 223 (1988) - 1987
- [j1]John S. Denker, Daniel B. Schwartz, Ben S. Wittner, Sara A. Solla, Richard E. Howard, Lawrence D. Jackel, John J. Hopfield:
Large Automatic Learning, Rule Extraction, and Generalization. Complex Syst. 1(5) (1987)
Coauthor Index
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