Author

Daniel Chicharro

Harvard UniversityORCID 0000-0002-4038-258XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Assay:electronic health records· 3 Research Focus:cell-cell communication· 2 Research Focus:differential expression· 1 Organism:human· 1 Organism:non-human primate· 1 Organism:rat· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Stefano PanzeriiD· 4 shared Andrea BrovelliiD· 2 shared Ileana L. Hanganu‐OpatziD· 2 shared Jan BímiD· 2 shared Malte BieleriD· 2 shared Ralf M. HaefneriD· 2 shared Vito De FeoiD· 2 shared Alejandro TlaieiD· 1 shared

Activity by Year

2017-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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4 shared papersNeuroscience

Stefano PanzeriORCID

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4 papers

Recent·Most cited

An information-theoretic quantification of the content of communication between brain regions

Marco Celotto, Jan Bím, Alejandro Tlaie, Vito De Feo, Alessandro Toso, Stefan M. Lemke, Daniel Chicharro, Hamed Nili, Malte Bieler, Ileana L. Hanganu‐Opatz, Tobias H. Donner, Andrea Brovelli, Stefano Panzeri

This paper introduces a new information-theoretic measure, FIT, to quantify feature-specific information transfer between brain regions using simulated and empirical neural data.

neural information processing systems · Jan 1, 2023Peer-reviewedNeuroscience

Stimulus dependent relationships between behavioral choice and sensory neural responses

Daniel Chicharro, Stefano Panzeri, Ralf M. Haefner

This paper provides theoretical and experimental evidence that choice-related neural signals depend on stimulus information content, introducing new methods and models to better assess neuron contributions to perceptual decisions.

eLife · Apr 7, 2021Peer-reviewedNeuroscience

A Non-negative Measure Of Feature-specific Information Transfer Between Neural Signals

Jan Bím, Vito De Feo, Daniel Chicharro, Malte Bieler, Ileana L. Hanganu‐Opatz, Andrea Brovelli, Stefano Panzeri

This paper introduces a new measure, Feature-specific Information Transfer (FIT), to quantify feature-specific information flow between neuronal signals and validates it using simulated and real data.

bioRxiv · Jan 13, 2020 · PreprintNeuroscience

Decision-Related Signals In The Presence Of Nonzero Signal Stimuli, Internal Bias, And Feedback

Daniel Chicharro, Stefano Panzeri, Ralf M. Haefner

The paper extends the understanding of decision-related signals in sensory neurons by analyzing their dependence on stimuli, choice bias, and feedback, providing new analytical tools for studying perceptual decisions.

bioRxiv · Mar 20, 2017 · PreprintNeuroscience