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AS.050.375

Probabilistic Models of the Visual Cortex

Johns Hopkins University 3 credits Cognitive Science

Course Description

The course gives an introduction to computational models of the mammalian visual cortex. It covers topics in low-, mid-, and high-level vision. It briefly discusses the relevant evidence from anatomy, electrophysiology, imaging (e.g., fMRI), and psychophysics. It concentrates on mathematical modeling of these phenomena taking into account recent progress in probabilistic models of computer vision and developments in machine learning, such as deep networks. Also offered as EN.601.485.Required Background: Calculus I and experience in a programming language (Python preferred). Prerequisite(s): Students who are currently enrolled in, or have already taken EN.601.485/EN.601.685/AS.050.675, are not eligible to take AS.050.375.;AS.110.106 OR AS.110.108

Code
AS.050.375
Credits
3
Subject
Cognitive Science

Programs That Include This Course

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