World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
12108
World Ranking
9969
National Ranking
4195

Research.com Recognitions

  • 2014 - Fellow of American Physical Society (APS) Citation For applications of statistical physics to problems concerning learning, adaptation, and information coding in neural systems

Overview

Sara A. Solla is affiliated with Northwestern University in the United States. Their research spans multiple areas within neuroscience and computer science, focusing notably on cognitive neuroscience, cellular and molecular neuroscience, and artificial intelligence.

The primary fields of study in their work include:

  • Neuroscience
  • Computer Science

Subfields of particular emphasis are:

  • Cognitive Neuroscience
  • Cellular and Molecular Neuroscience
  • Artificial Intelligence
  • Computer Networks and Communications
  • Statistical and Nonlinear Physics

Solla's research topics cover a range of neural and computational themes:

  • Neural dynamics and brain function
  • EEG and Brain-Computer Interfaces
  • Nonlinear Dynamics and Pattern Formation
  • Neural Networks and Applications
  • Neuroscience and Neural Engineering
  • Stochastic dynamics and bifurcation
  • Advanced Memory and Neural Computing

They have contributed to notable publications including:

  • Long-term stability of cortical population dynamics underlying consistent behavior, 2020, Nature Neuroscience
  • Catalyzing next-generation Artificial Intelligence through NeuroAI, 2023, Nature Communications
  • Estimating the dimensionality of the manifold underlying multi-electrode neural recordings, 2021, PLoS Computational Biology
  • Unexpected complexity of everyday manual behaviors, 2020, Nature Communications
  • Neural heterogeneity controls computations in spiking neural networks, 2024, Proceedings of the National Academy of Sciences

Their frequent co-authors include:

  • Lee E. Miller
  • Ege Altan
  • Richard Gast
  • Ann Kennedy
  • Eric J. Perreault

Solla regularly publishes in venues such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • Nature Communications
  • Proceedings of the National Academy of Sciences
  • Nature Neuroscience

In recognition of contributions to the field, Solla was named a Fellow of the American Physical Society in 2014 for applications of statistical physics to problems related to learning, adaptation, and information coding in neural systems.

Best Publications

  • Optimal Brain Damage

    Yann LeCun;John S. Denker;Sara A. Solla

  • Neural Manifolds for the Control of Movement.

    Juan Álvaro Gallego;Juan Álvaro Gallego;Matthew G. Perich;Lee E. Miller;Sara A. Solla

  • Large Automatic Learning, Rule Extraction, and Generalization.

    John S. Denker;Daniel B. Schwartz;Ben S. Wittner;Sara A. Solla

  • A statistical approach to learning and generalization in layered neural networks

    Esther Levin;Naftali Tishby;Sara A. Solla

  • A statistical approach to learning and generalization in layered neural networks

    E. Levin;N. Tishby;S.A. Solla

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

    Juan Álvaro Gallego;Juan Álvaro Gallego;Matthew G. Perich;Stephanie N. Naufel;Christian Ethier

  • Accelerated learning in layered neural networks

    Sara A. Solla;Esther Levin;Michael Fleisher

  • Catalyzing next-generation Artificial Intelligence through NeuroAI

    Unknown

  • On-line learning in soft committee machines

    David Saad;David Saad;Sara A. Solla;Sara A. Solla

  • A statistical approach to learning and generalization in layered neural networks

    Unknown

  • Exact Solution for On-Line Learning in Multilayer Neural Networks

    David Saad;David Saad;Sara A. Solla;Sara A. Solla

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

    Aaron J. Gruber;Peter Dayan;Boris S. Gutkin;Sara A. Solla

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

    Yann Le Cun;Ido Kanter;Sara A. Solla

  • Learning Curves: Asymptotic Values and Rate of Convergence

    Corinna Cortes;L. D. Jackel;Sara A. Solla;Vladimir Vapnik

  • Series foreword

    Michael I. Jordan;Sara A. Solla;Terrence J. Sejnowski

  • Structural Risk Minimization for Character Recognition

    I. Guyon;V. Vapnik;B. Boser;L. Bottou

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

    Eric A Pohlmeyer;Sara A Solla;Eric J Perreault;Lee E Miller

  • Second Order Properties of Error Surfaces: Learning Time and Generalization

    Yann LeCun;Ido Kanter;Sara A. Solla;Sara A. Solla

  • Neural primitives for motion control

    F.A. Mussa-Ivaldi;S.A. Solla

  • Exhaustive learning

    D. B. Schwartz;V. K. Samalam;Sara A. Solla;J. S. Denker

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

    Paul Lucek;Jens Hanke;Jens Reich;Sara A. Solla

  • Rewiring Neural Interactions by Micro-Stimulation

    James M. Rebesco;Ian H. Stevenson;Konrad Paul Kording;Sara A Solla

  • Biomimetic Brain Machine Interfaces for the Control of Movement

    Andrew H. Fagg;Nicholas G. Hatsopoulos;Victor de Lafuente;Karen A. Moxon

  • Proceedings of the 1997 conference on Advances in neural information processing systems 10

    Michael I. Jordan;Michael J. Kearns;Sara A. Solla

Frequent Co-Authors

Lee E. Miller
Lee E. Miller Northwestern University
Eric J. Perreault
Eric J. Perreault Northwestern University
David Saad
David Saad Aston University
John S. Denker
John S. Denker Nokia (United States)
Lawrence D. Jackel
Lawrence D. Jackel Toyota Research Institute
Isabelle Guyon
Isabelle Guyon University of Paris-Saclay
Yann LeCun
Yann LeCun Facebook (United States)
Richard Howard
Richard Howard Rutgers, The State University of New Jersey
Ferdinando A. Mussa-Ivaldi
Ferdinando A. Mussa-Ivaldi Northwestern University
Bernhard E. Boser
Bernhard E. Boser University of California, Berkeley

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