Grace W. Lindsay

New York University — United States

Neuroscience · Life Sciences

12h-index3.0kcitations33works0.82yr avg
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Research Topics

Neural dynamics and brain function(21), Visual perception and processing mechanisms(8), Cell Image Analysis Techniques(6), Neural Networks and Applications(5), EEG and Brain-Computer Interfaces(5)

Publications33 total

Identifying indicators of consciousness in AI systems
Trends in Cognitive Sciences·2025· 2 cited
Neural Subspaces Encode Sequential Working Memory, but Neural Sequences Do Not
2025· 2 citedOpen Access
DynVision: A Toolbox for Biologically Plausible Recurrent Convolutional Networks
2025Open Access
Must a theory be falsifiable to contribute to good science?
The Transmitter·2024
Experimentalists versus modelers — whose work has more lasting impact?
The Transmitter·2024
Grounding neuroscience in behavioral changes using artificial neural networks
Current Opinion in Neurobiology·2023· 14 cited
LLMs are not ready for editorial work
Nature Human Behaviour·2023· 4 cited
Grounding Neuroscience in Behavioral Changes using Artificial Neural Networks
arXiv (Cornell University)·2023· 1 citedOpen Access
Invited Session III: Neural network models of the visual system: Exploring the function of different forms of visual recurrence with artificial neural networks
Journal of Vision·2023Open Access
Consciousness in Artificial Intelligence: Insights from the Science of Consciousness
arXiv (Cornell University)·2023· 184 citedOpen Access
The neuroconnectionist research programme
Nature reviews. Neuroscience·2023· 219 citedOpen Access
Recent Advances at the Interface of Neuroscience and Artificial Neural Networks
Journal of Neuroscience·2022· 31 citedOpen Access
Bio-inspired neural networks implement different recurrent visual processing strategies than task-trained ones do
2022· 25 citedOpen Access
Deep Learning Networks and Visual Perception
Oxford Research Encyclopedia of Psychology·2021· 1 cited
Does AI need symbols?
ITNOW·2021
Corrigendum: Attention in Psychology, Neuroscience, and Machine Learning
Frontiers in Computational Neuroscience·2021· 2 citedOpen Access
Neuromatch Academy: Teaching Computational Neuroscience with Global Accessibility
Trends in Cognitive Sciences·2021· 5 citedOpen Access
Attention in Psychology, Neuroscience, and Machine Learning
Frontiers in Computational Neuroscience·2020· 290 citedOpen Access
Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future
Journal of Cognitive Neuroscience·2020· 546 citedOpen Access
A unified circuit model of attention: Neural and behavioral effects
2019· 9 citedOpen Access
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Frequent Co-authors

Kenneth D. Miller(8), Megan A. K. Peters(4), Yoshua Bengio(3), Konrad P. Körding(3), Mattia Rigotti(3), Melissa R. Warden(3), Earl K. Miller(3), Stefano Fusi(3), Theodore Moskovitz(3), Guangyu Robert Yang(3), Blake A. Richards(2), Nikolaus Kriegeskorte(2), Patrick Butlin(2), Robert P. Long(2), Eric Elmoznino(2), Jonathan Birch(2), Axel Constant(2), George Deane(2), Stephen M. Fleming(2), Ji Xu(2)