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Biorxiv : the Preprint Server for Biology|February 19, 2024
Identifying Interpretable Latent Factors with Sparse Component AnalysisAndrew J Zimnik, K Cora Ames, Xinyue An, et al.Elife|March 19, 2019
Complementary networks of cortical somatostatin interneurons enforce layer specific controlAlexander Naka, Julia Veit, Ben Shababo, et al.Frontiers in Neural Circuits|November 26, 2013
Thalamocortical input onto layer 5 pyramidal neurons measured using quantitative large-scale array tomographyJong-Cheol Rah, Erhan Bas, Jennifer Colonell, et al.Nature Communications|September 11, 2023
The spatial and temporal structure of neural activity across the fly brainEvan S Schaffer, Neeli Mishra, Matthew R Whiteway, et al.Neuron|July 2, 2026
Sparse component analysis: A method that uncovers separable computations within neural population activityAndrew J Zimnik, Xinyue An, K Cora Ames, et al.Neuron|February 5, 2018
Anxiety Cells in a Hippocampal-Hypothalamic CircuitJessica C Jimenez, Katy Su, Alexander R Goldberg, et al.Nature Neuroscience|March 21, 2017
Cerebellar granule cells acquire a widespread predictive feedback signal during motor learningAndrea Giovannucci, Aleksandra Badura, Ben Deverett, et al.Nature|October 9, 2010
Functional connectivity in the retina at the resolution of photoreceptorsGreg D Field, Jeffrey L Gauthier, Alexander Sher, et al.Neuron|March 5, 2026
20 lessons in team science: Learning from the experience of the International Brain Laboratory, Hannah M Bayer, Daniel Birman, et al.Biorxiv : the Preprint Server for Biology|November 22, 2024
IN VIVO CELL-TYPE AND BRAIN REGION CLASSIFICATION VIA MULTIMODAL CONTRASTIVE LEARNINGHan Yu, Hanrui Lyu, Ethan Yixun Xu, et al.Pageof 15