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Recognition of minimal images in the human brain

Aurelie Cordier

Recognition of minimal images in the human brain.

Rel. Carlo Ricciardi. Politecnico di Torino, Corso di laurea magistrale in Nanotechnologies For Icts (Nanotecnologie Per Le Ict), 2020

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Abstract:

Visual object recognition is performed without effort by humans even though it requires a series of complex computations which are, for now, not well understood. This study relies on the concept of minimal images, smallest configurations where an image is recognizable to the human vision, to study the processes by which the brain uses visual features to carry out computations underlying visual recognition. The role of these visual features is revealed at the minimal level and a tiny change in the image configuration is enough to completely lose recognition. A neurophysiological experiment was conducted with twelve subjects implanted with intracranial electrodes. Visual representations elicited by minimal as well as sub-minimal images could be observed, and category-selective responses could be discriminated. Although the two image conditions did not result in distinguishable neural features, the results seem to endorse previous observations regarding behavior and sensitivity to perceptual discrimination.

Relators: Carlo Ricciardi
Academic year: 2020/21
Publication type: Electronic
Number of Pages: 42
Subjects:
Corso di laurea: Corso di laurea magistrale in Nanotechnologies For Icts (Nanotecnologie Per Le Ict)
Classe di laurea: New organization > Master science > LM-29 - ELECTRONIC ENGINEERING
Aziende collaboratrici: Harvard Medical School
URI: http://webthesis.biblio.polito.it/id/eprint/16022
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