Author

Loredana Minini

University of OxfordORCID 0000-0001-7713-403XUnclaimed ORCID profile · follow to get notified of new preprints

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Organism:human· 1 Assay:imaging· 1 Research Focus:spatial domain detection· 1 Approach:statistical model· 1

Frequent Co-Authors

Andrew J. ParkeriD· 1 shared David KayiD· 1 shared Denis SchluppeckiD· 1 shared Eugene Paul DuffiD· 1 shared Gaelle S. L. Coullon· 1 shared Holly BridgeiD· 1 shared R. M. Sanchez-Panchuelo· 1 shared Saâd JbabdiiD· 1 shared

Activity by Year

2017-2017 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Andrew J. ParkerORCID

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1 paper

Recent·Most cited

Geospatial statistics of high field functional MRI reveal topographical clustering for binocular stereo depth in early visual cortex

Andrew J. Parker, Gaelle S. L. Coullon, R. M. Sanchez-Panchuelo, Susan Francis, Stuart Clare, David Kay, Eugene Paul Duff, Loredana Minini, Saâd Jbabdi, Denis Schluppeck, Holly Bridge

The paper uses high-field fMRI and geospatial analysis to identify topographically clustered signals for binocular stereo depth in human visual cortex.

bioRxiv · Jul 10, 2017 · PreprintNeuroscience