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Anthony M. Zador
Researcher at Cold Spring Harbor Laboratory
Publications - 161
Citations - 13232
Anthony M. Zador is an academic researcher from Cold Spring Harbor Laboratory. The author has contributed to research in topics: Auditory cortex & Sensory system. The author has an hindex of 45, co-authored 146 publications receiving 11599 citations. Previous affiliations of Anthony M. Zador include Maynooth University & New York University.
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Replicability of spatial gene expression atlas data from the adult mouse brain
Shaina Lu,Cantin Ortiz,Daniel Fürth,Stephan Fischer,Konstantinos Meletis,Anthony M. Zador,Jesse Gillis +6 more
TL;DR: It is found that canonical brain area labels are classifiable in gene expression space within dataset and that the observed performance is not merely reflecting physical distance in the brain, however, it is also shown that cross-platform classification is not robust.
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Network cloning using DNA barcodes
TL;DR: The “one barcode one cell” (OBOC) algorithm is presented, which forces all barcodes of a given sequence to coalesce into the same neuron, and it is shown that it converges in a number of steps that is a power law of the network size.
Neuroscience needs Network Science
Ginestra Bianconi,Edward T. Bullmore,SueYeon Chung,T Eliassi-Rad,Dileep George,Istv'an A. Kov'acs,Hernán A. Makse,Christos Papadimitriou,Thomas E. Nichols,Olaf Sporns,Kimberly L. Stachenfeld,Zoltán Toroczkai,Emma K. Towlson,Anthony M. Zador,Hongkui Zeng,Albert-L'aszl'o Barab'asi,Amy Bernard +16 more
TL;DR: In this article , the authors discuss the application of network science in the study of the brain, addressing topics such as network models and metrics, the connectome, and the role of dynamics in neural networks.
Posted ContentDOI
Diversity and task-dependence of task representations in V1 during freely-moving decisions
Anqi Zhang,Anthony M. Zador +1 more
TL;DR: The results support the view that even in V1— the earliest stage of the cortical hierarchy—bottom-up sensory information is combined with top-down non-sensory information in a task-dependent manner.
Posted ContentDOI
Massive Multiplexing of Spatially Resolved Single Neuron Projections with Axonal BARseq
TL;DR: In this paper , the authors presented axonal BARseq, a high-throughput approach based on reading out nucleic acid barcodes using in situ RNA sequencing, which enables analysis of even densely labeled neurons.