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Cell
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July 22, 2022
The application of artificial intelligence to biology and neuroscience
Blake Richards, Doris Tsao, Anthony Zador
Elife
|
April 21, 2026
Modeling the hallucinatory effects of classical psychedelics in terms of replay-dependent plasticity mechanisms
Colin Bredenberg, Fabrice Normandin, Blake Richards, et al.
The European Journal of Neuroscience
|
September 29, 2006
A double dissociation of dorsal and ventral hippocampal function on a learning and memory task mediated by the dorso-lateral striatum
Robert J McDonald, Jana Jones, Blake Richards, et al.
Cerebral Cortex (New York, N.Y. : 1991)
|
June 23, 2025
Learning to combine top-down context and feed-forward representations under ambiguity with apical and basal dendrites
Nizar Islah, Guillaume Etter, Mashbayar Tugsbayar, et al.
Nucleic Acids Research
|
November 24, 2025
Metabolite-responsive scaffold RNAs for dynamic CRISPR transcriptional regulation
Anthony M Stohr, Helena Hansen, Blake Richards, et al.
Arxiv
|
December 11, 2025
Know Thyself by Knowing Others: Learning Neuron Identity from Population Context
Vinam Arora, Divyansha Lachi, Ian J Knight, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|
December 11, 2012
Increasing CRTC1 function in the dentate gyrus during memory formation or reactivation increases memory strength without compromising memory quality
Melanie J Sekeres, Valentina Mercaldo, Blake Richards, et al.
Arxiv
|
August 7, 2024
Towards a "universal translator" for neural dynamics at single-cell, single-spike resolution
Yizi Zhang, Yanchen Wang, Donato Jiménez Benetó, et al.
Biorxiv : the Preprint Server for Biology
|
February 6, 2026
Distinct CA1 inputs support shifts in neural dimensionality and memory resolution
Cory McKenzie, Arna Ghosh, Adam I Ramsaran, et al.
Nature Communications
|
August 27, 2020
Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets
Marc-Andre Schulz, B T Thomas Yeo, Joshua T Vogelstein, et al.
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of 2
Search research articles
Search
Showing results (1-10 of 16) with videos related to
Sort By:
Page
of 2
Cell
|
July 22, 2022
The application of artificial intelligence to biology and neuroscience
Blake Richards, Doris Tsao, Anthony Zador
Elife
|
April 21, 2026
Modeling the hallucinatory effects of classical psychedelics in terms of replay-dependent plasticity mechanisms
Colin Bredenberg, Fabrice Normandin, Blake Richards, et al.
The European Journal of Neuroscience
|
September 29, 2006
A double dissociation of dorsal and ventral hippocampal function on a learning and memory task mediated by the dorso-lateral striatum
Robert J McDonald, Jana Jones, Blake Richards, et al.
Cerebral Cortex (New York, N.Y. : 1991)
|
June 23, 2025
Learning to combine top-down context and feed-forward representations under ambiguity with apical and basal dendrites
Nizar Islah, Guillaume Etter, Mashbayar Tugsbayar, et al.
Nucleic Acids Research
|
November 24, 2025
Metabolite-responsive scaffold RNAs for dynamic CRISPR transcriptional regulation
Anthony M Stohr, Helena Hansen, Blake Richards, et al.
Arxiv
|
December 11, 2025
Know Thyself by Knowing Others: Learning Neuron Identity from Population Context
Vinam Arora, Divyansha Lachi, Ian J Knight, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|
December 11, 2012
Increasing CRTC1 function in the dentate gyrus during memory formation or reactivation increases memory strength without compromising memory quality
Melanie J Sekeres, Valentina Mercaldo, Blake Richards, et al.
Arxiv
|
August 7, 2024
Towards a "universal translator" for neural dynamics at single-cell, single-spike resolution
Yizi Zhang, Yanchen Wang, Donato Jiménez Benetó, et al.
Biorxiv : the Preprint Server for Biology
|
February 6, 2026
Distinct CA1 inputs support shifts in neural dimensionality and memory resolution
Cory McKenzie, Arna Ghosh, Adam I Ramsaran, et al.
Nature Communications
|
August 27, 2020
Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets
Marc-Andre Schulz, B T Thomas Yeo, Joshua T Vogelstein, et al.
Page
of 2