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Grace W Lindsay

Showing results (1-10 of 13) with videos related to

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Frontiers in Computational Neuroscience|May 7, 2020
Attention in Psychology, Neuroscience, and Machine LearningGrace W Lindsay
Journal of Cognitive Neuroscience|February 7, 2020
Convolutional Neural Networks as a Model of the Visual System: Past, Present, and FutureGrace W Lindsay
Nature Human Behaviour|November 21, 2023
LLMs are not ready for editorial workGrace W Lindsay
Current Opinion in Neurobiology|December 5, 2023
Grounding neuroscience in behavioral changes using artificial neural networksGrace W Lindsay
Frontiers in Computational Neuroscience|June 14, 2021
Corrigendum: Attention in Psychology, Neuroscience, and Machine LearningGrace W Lindsay
Elife|October 2, 2018
How biological attention mechanisms improve task performance in a large-scale visual system modelGrace W Lindsay, Kenneth D Miller
Biorxiv : the Preprint Server for Biology|April 17, 2026
Modulation of feature attention by reward prediction error explains value learning behaviorMingze L Leukos, Albert Liang, Grace W Lindsay
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|October 8, 2017
Hebbian Learning in a Random Network Captures Selectivity Properties of the Prefrontal CortexGrace W Lindsay, Mattia Rigotti, Melissa R Warden, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|November 9, 2022
Recent Advances at the Interface of Neuroscience and Artificial Neural NetworksYarden Cohen, Tatiana A Engel, Christopher Langdon, et al.
Nature Neuroscience|November 8, 2016
Parallel processing by cortical inhibition enables context-dependent behaviorKishore V Kuchibhotla, Jonathan V Gill, Grace W Lindsay, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Frontiers in Computational Neuroscience|May 7, 2020
Attention in Psychology, Neuroscience, and Machine LearningGrace W Lindsay
Journal of Cognitive Neuroscience|February 7, 2020
Convolutional Neural Networks as a Model of the Visual System: Past, Present, and FutureGrace W Lindsay
Nature Human Behaviour|November 21, 2023
LLMs are not ready for editorial workGrace W Lindsay
Current Opinion in Neurobiology|December 5, 2023
Grounding neuroscience in behavioral changes using artificial neural networksGrace W Lindsay
Frontiers in Computational Neuroscience|June 14, 2021
Corrigendum: Attention in Psychology, Neuroscience, and Machine LearningGrace W Lindsay
Elife|October 2, 2018
How biological attention mechanisms improve task performance in a large-scale visual system modelGrace W Lindsay, Kenneth D Miller
Biorxiv : the Preprint Server for Biology|April 17, 2026
Modulation of feature attention by reward prediction error explains value learning behaviorMingze L Leukos, Albert Liang, Grace W Lindsay
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|October 8, 2017
Hebbian Learning in a Random Network Captures Selectivity Properties of the Prefrontal CortexGrace W Lindsay, Mattia Rigotti, Melissa R Warden, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|November 9, 2022
Recent Advances at the Interface of Neuroscience and Artificial Neural NetworksYarden Cohen, Tatiana A Engel, Christopher Langdon, et al.
Nature Neuroscience|November 8, 2016
Parallel processing by cortical inhibition enables context-dependent behaviorKishore V Kuchibhotla, Jonathan V Gill, Grace W Lindsay, et al.
Pageof 2