10.1184/R1/9394649.v1 Prachi Mahableshwarkar Prachi Mahableshwarkar Neural Representations and Categorization of Visual Input in the Brain Carnegie Mellon University 2019 visual processing recognition 2019-08-08 18:30:33 Thesis https://kilthub.cmu.edu/articles/thesis/Neural_Representations_and_Categorization_of_Visual_Input_in_the_Brain/9394649 <div>The functional organization of the visual processing system effectively serves to solve</div><div>difficult recognition and classification problems. Given a large amount of information, the visual</div><div>processing system is able to retrieve critical bits and produce a salient understanding of the</div><div>world. This impressive, calculated ability is supported by neural substrates that have been well</div><div>defined through extensive research. The seemingly spontaneous recognition of objects and</div><div>classification of scenes results from a series of computations through the visual pathway. In</div><div>order to understand how these complex abilities are supported by neural substrate, research must</div><div>target the individual abilities and contributions of regions that process visual information.</div><div>Understanding the functionality of areas in the visual processing stream will elucidate the</div><div>computational mechanisms of recognition and classification.</div>