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dc.contributor.advisorJames J. DiCarlo.en_US
dc.contributor.authorRajalingham, Rishien_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Brain and Cognitive Sciences.en_US
dc.date.accessioned2019-03-01T19:52:54Z
dc.date.available2019-03-01T19:52:54Z
dc.date.copyright2018en_US
dc.date.issued2018en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/120625
dc.descriptionThesis: Ph. D., Massachusetts Institute of Technology, Department of Brain and Cognitive Sciences, 2018.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 161-173).en_US
dc.description.abstractPrimates are able to rapidly, accurately and effortlessly perform the computationally difficult visual task of invariant object recognition - the ability to discriminate between different objects in the face of high variation in object viewing parameters and background conditions. This ability is thought to rely on the ventral visual stream, a hierarchy of visual cortical areas culminating in inferior temporal (IT) cortex. In particular, decades of research strongly suggests that the population of neurons in IT supports invariant object recognition behavior. However, direct causal evidence for this decoding hypothesis has been equivocal to date, especially beyond the specific case of face-selective sub-regions of IT. This research aims to directly test the general causal role of IT in invariant object recognition. To do so, we first characterized human and macaque monkey behavior over a large behavioral domain consisting of binary discriminations between images of basic-level objects, establishing behavioral metrics and benchmarks for computational models of this behavior. This work suggests that, in the domain of basic-level core object recognition, humans and monkeys are remarkably similar in their behavioral responses, while leading models of the visual system significantly diverge from primate behavior. We then reversibly inactivated individual, millimeter-scale regions of IT via injection of muscimol while monkeys performed several interleaved binary object discrimination tasks. We found that inactivating different millimeter-scale regions of primate IT resulted in different patterns of object recognition deficits, each predicted by the local region's neuronal selectivity. Our results provide causal evidence that IT directly underlies primate object recognition behavior in a topographically organized manner. Taken together, these results establish quantitative experimental constraints for computational models of the ventral visual stream and object recognition behavior.en_US
dc.description.statementofresponsibilityby Rishi Rajalingham.en_US
dc.format.extent173 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectBrain and Cognitive Sciences.en_US
dc.titleHow does the primate ventral visual stream causally support core object recognition?en_US
dc.typeThesisen_US
dc.description.degreePh. D.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciences
dc.identifier.oclc1086610747en_US


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