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Nathaniel J Miska

Showing results (1-10 of 12) with videos related to

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Elife|October 13, 2018
Sensory experience inversely regulates feedforward and feedback excitation-inhibition ratio in rodent visual cortexNathaniel J Miska, Leonidas Ma Richter, Brian A Cary, et al.
Neurons, Behavior, Data Analysis, and Theory|August 22, 2025
A study of animal action segmentation algorithms across supervised, unsupervised, and semi-supervised learning paradigmsAri Blau, Evan S Schaffer, Neeli Mishra, et al.
Arxiv|August 7, 2024
A study of animal action segmentation algorithms across supervised, unsupervised, and semi-supervised learning paradigmsAri Blau, Evan S Schaffer, Neeli Mishra, et al.
Langmuir : the ACS Journal of Surfaces and Colloids|March 18, 2011
A modular phase transfer and ligand exchange protocol for quantum dotsJoshua Zylstra, Jennifer Amey, Nathaniel J Miska, et al.
Neuron|March 22, 2020
Autism-Associated Shank3 Is Essential for Homeostatic Compensation in Rodent V1Vedakumar Tatavarty, Alejandro Torrado Pacheco, Chelsea Groves Kuhnle, et al.
Nature Neuroscience|December 30, 2025
Infinite hidden Markov models can dissect the complexities of learningSebastian A Bruijns, , Kcénia Bougrova, et al.
Plos Computational Biology|September 22, 2021
Partitioning variability in animal behavioral videos using semi-supervised variational autoencodersMatthew R Whiteway, Dan Biderman, Yoni Friedman, et al.
Biorxiv : the Preprint Server for Biology|June 25, 2024
Interactive data exploration websites for large-scale electrophysiologyDaniel Birman, Gaelle Chapuis, Mayo Faulkner, et al.
Elife|May 20, 2021
Standardized and reproducible measurement of decision-making in mice, Valeria Aguillon-Rodriguez, Dora Angelaki, et al.
Elife|May 12, 2025
Reproducibility of in vivo electrophysiological measurements in mice, Kush Banga, Julius Benson, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Elife|October 13, 2018
Sensory experience inversely regulates feedforward and feedback excitation-inhibition ratio in rodent visual cortexNathaniel J Miska, Leonidas Ma Richter, Brian A Cary, et al.
Neurons, Behavior, Data Analysis, and Theory|August 22, 2025
A study of animal action segmentation algorithms across supervised, unsupervised, and semi-supervised learning paradigmsAri Blau, Evan S Schaffer, Neeli Mishra, et al.
Arxiv|August 7, 2024
A study of animal action segmentation algorithms across supervised, unsupervised, and semi-supervised learning paradigmsAri Blau, Evan S Schaffer, Neeli Mishra, et al.
Langmuir : the ACS Journal of Surfaces and Colloids|March 18, 2011
A modular phase transfer and ligand exchange protocol for quantum dotsJoshua Zylstra, Jennifer Amey, Nathaniel J Miska, et al.
Neuron|March 22, 2020
Autism-Associated Shank3 Is Essential for Homeostatic Compensation in Rodent V1Vedakumar Tatavarty, Alejandro Torrado Pacheco, Chelsea Groves Kuhnle, et al.
Nature Neuroscience|December 30, 2025
Infinite hidden Markov models can dissect the complexities of learningSebastian A Bruijns, , Kcénia Bougrova, et al.
Plos Computational Biology|September 22, 2021
Partitioning variability in animal behavioral videos using semi-supervised variational autoencodersMatthew R Whiteway, Dan Biderman, Yoni Friedman, et al.
Biorxiv : the Preprint Server for Biology|June 25, 2024
Interactive data exploration websites for large-scale electrophysiologyDaniel Birman, Gaelle Chapuis, Mayo Faulkner, et al.
Elife|May 20, 2021
Standardized and reproducible measurement of decision-making in mice, Valeria Aguillon-Rodriguez, Dora Angelaki, et al.
Elife|May 12, 2025
Reproducibility of in vivo electrophysiological measurements in mice, Kush Banga, Julius Benson, et al.
Pageof 2