{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/46509"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/46509","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Towards an integrated model of feedforward-feedback processing in the visual cortex","abstract":"The goal of this work is to explore a potential improvement on a visual recognition system. The system is a biologically-plausible computational model of the feedforward part of the ventral stream in the visual cortex and successfully models human performance on visual recognition tasks for the first 50-100 milliseconds since the presentation of the visual stimulus. We make the first steps to a possible augmentation of the system that will account for both feedforward and feedback processes in the ventral stream. We explore the plausibility of Bayesian network models for feedback. 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Our results show that although the resulting system under performs the original, it has a better rate of improvement as more and more training examples are added to it.","abstract_has_math":false,"creators":["Riskov, Ivaylo P"],"institution":"Massachusetts Institute of Technology","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.","school":null,"contributors":[],"advisors":["Tomaso Poggio and Thomas Serre."],"committee_chairs":[],"committee_members":[],"year":2008,"date_issued":"2008","date_published":"2008","updated_at":"2026-07-22T22:21:46Z","subjects":["Electrical Engineering and Computer Science."],"languages":["eng"],"rights":["M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 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