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Alec Solway
Researcher at Virginia Tech
Publications - 17
Citations - 1495
Alec Solway is an academic researcher from Virginia Tech. The author has contributed to research in topics: Reinforcement learning & Computer science. The author has an hindex of 10, co-authored 13 publications receiving 1223 citations. Previous affiliations of Alec Solway include Princeton University & University of Pennsylvania.
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Journal ArticleDOI
Direct recordings of grid-like neuronal activity in human spatial navigation
Joshua J. Jacobs,Christoph T. Weidemann,Jonathan P. Miller,Alec Solway,John F. Burke,Xue-Xin Wei,Nanthia Suthana,Michael R. Sperling,Ashwini Sharan,Itzhak Fried,Itzhak Fried,Michael J. Kahana +11 more
TL;DR: Recording neuronal activity from neurosurgical patients performing a virtual-navigation task, it is identified cells exhibiting grid-like spiking patterns in the human brain, suggesting that humans and simpler animals rely on homologous spatial-coding schemes.
Journal ArticleDOI
Neural Activity in Human Hippocampal Formation Reveals the Spatial Context of Retrieved Memories
Jonathan P. Miller,Markus Neufang,Alec Solway,Armin Brandt,Michael Trippel,Irina Mader,Stefan Hefft,Max Merkow,Sean M. Polyn,Joshua J. Jacobs,Michael J. Kahana,Andreas Schulze-Bonhage +11 more
TL;DR: Recording from neurosurgical patients playing a virtual reality memory game found that the recall of events was indeed associated with reinstatement of the place-firing of neurons activated as the subjects navigated through the environment and place-responsive cell activity was reinstated during episodic memory retrieval.
Journal ArticleDOI
A Neural Signature of Hierarchical Reinforcement Learning
José J. F. Ribas-Fernandes,Alec Solway,Carlos Diuk,Joseph T. McGuire,Andrew G. Barto,Yael Niv,Matthew Botvinick +6 more
TL;DR: It is proposed that the computations supporting hierarchical behavior may relate to those in hierarchical reinforcement learning (HRL), a machine-learning framework that extends reinforcement-learning mechanisms into hierarchical domains, and leveraged a distinctive prediction arising from HRL.
Journal ArticleDOI
Goal-directed decision making as probabilistic inference: A computational framework and potential neural correlates
Alec Solway,Matthew Botvinick +1 more
TL;DR: The basic proposal is that the brain, within an identifiable network of cortical and subcortical structures, implements a probabilistic generative model of reward, and that goal-directed decision making is effected through Bayesian inversion of this model.
Journal ArticleDOI
Optimal behavioral hierarchy.
Alec Solway,Carlos Diuk,Natalia I. Córdova,Debbie Yee,Andrew G. Barto,Yael Niv,Matthew Botvinick +6 more
TL;DR: This work provides a mathematical account for what makes some hierarchies better than others, an account that allows an optimal hierarchy to be identified for any set of tasks, and presents results from four behavioral experiments suggesting that human learners spontaneously discover optimal action hierarchies.