Author

Ori Maoz

Weizmann Institute of Science

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Assay:spatial transcriptomics· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Organism:mouse· 1 Organism:non-human primate· 1

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Elad SchneidmaniD· 2 shared Roozbeh KianiiD· 2 shared Ehud D. Karpas· 1 shared Gašper TkačikiD· 1 shared Saleh Esteki· 1 shared

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2019-2020 · peak 1/yr

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5 top collaborators · 8 mutual co-author links

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2 shared papersNeuroscience

Elad SchneidmanORCID

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2 papers

Recent·Most cited

Learning probabilistic representations with randomly connected neural circuits

Ori Maoz, Gašper Tkačik, Saleh Esteki, Roozbeh Kiani, Elad Schneidman

This paper introduces a probabilistic neural model inspired by sparse random connectivity that efficiently estimates spiking patterns in neural circuits and outperforms existing models.

Proceedings of the National Academy of Sciences · Sep 18, 2020Peer-reviewedNeuroscience

Strongly correlated spatiotemporal encoding and simple decoding in the prefrontal cortex

Ehud D. Karpas, Ori Maoz, Roozbeh Kiani, Elad Schneidman

The paper analyzes spiking patterns in monkey prefrontal cortex during a visual task, showing strong correlations in encoding but simple decoding.

bioRxiv · Jul 18, 2019 · PreprintNeuroscience