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个人简介
Sara Solla's research interests lie in the application of statistical mechanics to the analysis of complex systems. Her research has led her to the study of neural networks, which are theoretical models that incorporate "fuzzy logic" and are thought to be in some aspects analogous to the way the human brain stores and processes information. She has used spin-glass models (originally developed to explain magnetism in amorphous materials) to describe associative memory, worked on a statistical description of supervised learning, investigated the emergence of generalization abilities in adaptive systems, and studied the dynamics of incremental learning algorithms. Solla has also helped develop constrained neural networks for pattern-recognition tasks, along with descriptions of the computational capabilities of neural networks and learning algorithms for the design of neural network controllers.
研究兴趣
论文共 124 篇作者统计合作学者相似作者
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Guy Elisha,Richard Gast,Sourav Halder,Sara A Solla, Peter J Kahrilas, John E Pandolfino,Neelesh A Patankar
Physical review lettersno. 5 (2025): 058401-058401
JOURNAL OF COMPUTATIONAL NEUROSCIENCE (2024): S68-S68
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bioRxiv the preprint server for biology (2024)
arXiv (Cornell University) (2024)
JOURNAL OF NEURAL ENGINEERINGno. 5 (2023)
Anthony Zador,Sean Escola,Blake Richards,Bence Ölveczky,Yoshua Bengio,Kwabena Boahen,Matthew Botvinick,Dmitri Chklovskii,Anne Churchland,Claudia Clopath,James DiCarlo,Surya Ganguli,Jeff Hawkins,Konrad Körding,Alexei Koulakov,Yann LeCun,Timothy Lillicrap,Adam Marblestone,Bruno Olshausen,Alexandre Pouget,Cristina Savin,Terrence Sejnowski,Eero Simoncelli,Sara Solla,David Sussillo,Andreas S. Tolias,Doris Tsao
NATURE COMMUNICATIONSno. 1 (2023)
PHYSICAL REVIEW Eno. 2 (2023)
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作者统计
#Papers: 130
#Citation: 13881
H-Index: 45
G-Index: 104
Sociability: 6
Diversity: 3
Activity: 3
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