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Ethan A. Solomon
Researcher at University of Pennsylvania
Publications - 25
Citations - 3324
Ethan A. Solomon is an academic researcher from University of Pennsylvania. The author has contributed to research in topics: Episodic memory & Recall. The author has an hindex of 9, co-authored 24 publications receiving 2465 citations. Previous affiliations of Ethan A. Solomon include Massachusetts Institute of Technology & McGovern Institute for Brain Research.
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Journal ArticleDOI
Performance-optimized hierarchical models predict neural responses in higher visual cortex
Daniel L. K. Yamins,Ha Hong,Charles F. Cadieu,Ethan A. Solomon,Darren Seibert,James J. DiCarlo +5 more
TL;DR: This work uses computational techniques to identify a high-performing neural network model that matches human performance on challenging object categorization tasks and shows that performance optimization—applied in a biologically appropriate model class—can be used to build quantitative predictive models of neural processing.
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Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition
Charles F. Cadieu,Ha Hong,Daniel L. K. Yamins,Nicolas Pinto,Diego Ardila,Ethan A. Solomon,Najib J. Majaj,James J. DiCarlo +7 more
TL;DR: These evaluations show that, unlike previous bio-inspired models, the latest DNNs rival the representational performance of IT cortex on this visual object recognition task and propose an extension of “kernel analysis” that measures the generalization accuracy as a function of representational complexity.
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Theta Oscillations in Human Memory.
TL;DR: Theta frequency fluctuations of the local field potential have long been implicated in learning and memory, but human studies of episodic memory have provided mixed evidence for theta's role in successful learning and remembering.
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Simple Learned Weighted Sums of Inferior Temporal Neuronal Firing Rates Accurately Predict Human Core Object Recognition Performance
TL;DR: A database of images for evaluating object recognition performance was designed and it was found that simple learned weighted sums of firing rates of neurons in monkey inferior temporal (IT) cortex accurately predicted human performance.
Journal ArticleDOI
Widespread theta synchrony and high-frequency desynchronization underlies enhanced cognition.
Ethan A. Solomon,James E. Kragel,Michael R. Sperling,Ashwini Sharan,Greg Worrell,Michal T. Kucewicz,Cory S. Inman,Bradley C. Lega,Kathryn A. Davis,Joel M. Stein,Barbara C. Jobst,Kareem A. Zaghloul,Sameer A. Sheth,Daniel S. Rizzuto,Michael J. Kahana +14 more
TL;DR: It is reported that gamma networks desynchronize and theta networks synchronize during encoding and retrieval, establishing gamma as a largely asynchronous phenomenon.