Author

Richard P. Wildes

York UniversityORCID 0000-0003-3433-1329Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Approach:experimental assay· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Organism:rat· 1

Frequent Co-Authors

Adrian SchütziD· 1 shared Filip IliciD· 1 shared Hamidreza RamezanpouriD· 1 shared J. Douglas CrawfordiD· 1 shared Kohitij KariD· 1 shared Parisa Abedi KhoozaniiD· 1 shared Vishal BharmauriaiD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 9 mutual co-author links

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1 shared paperNeuroscience

Adrian SchützORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintFeb 23, 2024

Object motion representation in the macaque ventral stream -- a gateway to understanding the brain's intuitive physics engine

Hamidreza Ramezanpour, Filip Ilic, Richard P. Wildes, Kohitij Kar

This study investigates how rhesus macaques' ventral visual pathway processes object motion speed and direction, revealing its role in predictive behaviors and challenging traditional functional segregation of visual cortices.

5 citations

ratimaging

𝕏 PostBluesky

NeuroscienceCerebral Cortex CommunicationsPeer-reviewedJul 1, 2022

Integration of allocentric and egocentric visual information in a convolutional / multilayer perceptron network model of goal-directed gaze shifts

Parisa Abedi Khoozani, Vishal Bharmauria, Adrian Schütz…·J. Douglas Crawford

The paper develops a neural network model integrating allocentric and egocentric visual information to simulate goal-directed gaze shifts, showing it replicates both general properties and specific experimental results.

6 citations

deep learningmachine learning (classical)

𝕏 PostBluesky