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George A. Alvarez

George Angelo Alvarez

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affiliation: Harvard University, Cambridge, USA

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2020 – today

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2024
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  - journals/corr/abs-2402-10039
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Chris J. Hamblin, Thomas Fel, Srijani Saha, Talia Konkle, George A. Alvarez:
Feature Accentuation: Revealing 'What' Features Respond to in Natural Images. CoRR abs/2402.10039 (2024)
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  - journals/corr/abs-2406-05598
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Christopher J. Hamblin, Srijani Saha, Talia Konkle, George A. Alvarez:
Understanding Inhibition Through Maximally Tense Images. CoRR abs/2406.05598 (2024)
2023
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Talia Konkle, George A. Alvarez:
Cognitive Steering in Deep Neural Networks via Long-Range Modulatory Feedback Connections. NeurIPS 2023
2022
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  - journals/corr/abs-2206-01627
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Chris J. Hamblin, Talia Konkle, George A. Alvarez:
Pruning for Interpretable, Feature-Preserving Circuits in CNNs. CoRR abs/2206.01627 (2022)

2010 – 2019

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2019
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Viola S. Störmer, Michael A. Cohen, George A. Alvarez:
Tuning Attention to Object Categories: Spatially Global Effects of Attention to Faces in Visual Processing. J. Cogn. Neurosci. 31(7): 937-947 (2019)
2015
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Michael A. Cohen, Ken Nakayama, Talia Konkle, Mirta Stantic, George A. Alvarez:
Visual Awareness Is Limited by the Representational Architecture of the Visual System. J. Cogn. Neurosci. 27(11): 2240-2252 (2015)
2014
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David Barner, George A. Alvarez, Mahesh Srinivasan, Neon Brooks, Susan Goldin-Meadow, Jessica Sullivan, Katie Wagner, Michael C. Frank:
Multi-modal Symbolic Representations of Number: Everything You Ever Wanted to Know About Mental Abacus, but Were Afraid to Ask. CogSci 2014
2011
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Jordan W. Suchow, George A. Alvarez:
Background motion silences awareness of foreground change. SIGGRAPH Posters 2011: 29

2000 – 2009

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2009
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Lorella Battelli, George A. Alvarez, Thomas A. Carlson, Alvaro Pascual-Leone:
The Role of the Parietal Lobe in Visual Extinction Studied with Transcranial Magnetic Stimulation. J. Cogn. Neurosci. 21(10): 1946-1955 (2009)
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Ed Vul, Michael C. Frank, George A. Alvarez, Joshua B. Tenenbaum:
Explaining human multiple object tracking as resource-constrained approximate inference in a dynamic probabilistic model. NIPS 2009: 1955-1963

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