Courses

Summer 2018

CRCNS Course on Mining and Modeling of Neuroscience Data

This course introduces the major open questions of neuroscience and teaches state-of–the-art techniques for analyzing and modeling neuroscience data sets.

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Summer 2017

CRCNS Course on Mining and Modeling of Neuroscience Data

This course introduces the major open questions of neuroscience and teaches state-of–the-art techniques for analyzing and modeling neuroscience data sets.

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Summer 2015

CRCNS Course on Mining and Modeling of Neuroscience Data

This course introduces the major open questions of neuroscience and teaches state-of–the-art techniques for analyzing and modeling neuroscience data sets.

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Spring 2015

VS298: Visual Perception and its Neural Substrates

This is a seminar course that attempts to examine and unite the psychophysical and neural coding theory literature in the context of visual perception.

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Fall 2014

VS298: Unsolved Problems in Vision

The goal of this seminar course is to step back and ask, what are the important problems that remain unsolved in vision research, and how should these be approached empirically?

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VS265: Neural Computation

This course provides an introduction to the theory of neural computation. Topics include neural network models, supervised and unsupervised learning rules, associative memory models, recurrent networks, probabilistic/graphical models, and models of neural coding in the brain.

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Spring 2014

VS298: Natural Scene Statistics

This seminar examines what is known about the statistical structure of natural visual and auditory scenes, and theories of how sensory coding strategies have been adapted to this structure.

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Fall 2012

VS265: Neural Computation

This seminar examines what is known about the statistical structure of natural visual and auditory scenes, and theories of how sensory coding strategies have been adapted to this structure.

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Spring 2012

VS298: Animal Eyes

This seminar will survey the wide variety of eye designs and visual systems found in the animal kingdom.

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Summer 2011

CRCNS Course on Mining and Modeling of Neuroscience Data

This course introduces the major open questions of neuroscience and teaches state-of–the-art techniques for analyzing and modeling neuroscience data sets.

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Fall 2010

VS265: Neural Computation

This seminar examines what is known about the statistical structure of natural visual and auditory scenes, and theories of how sensory coding strategies have been adapted to this structure.

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Fall 2008

VS298: Neural Computation

This seminar examines what is known about the statistical structure of natural visual and auditory scenes, and theories of how sensory coding strategies have been adapted to this structure.

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Fall 2006

VS298: Neural Computation

This seminar examines what is known about the statistical structure of natural visual and auditory scenes, and theories of how sensory coding strategies have been adapted to this structure.

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