Fall 2024
VS265: Neural Computation - Fall 2024
This course provides an introduction to the theory of neural computation, especially as it pertains to vision. Topics include neural network models, learning rules, associative memory models, recurrent networks, and models of neural coding in the brain.
Fall 2022
VS265: Neural Computation - Fall 2022
This course provides an introduction to the theory of neural computation, especially as it pertains to vision. Topics include neural network models, learning rules, associative memory models, recurrent networks, and models of neural coding in the brain.
Fall 2021
Neuroscience 299: Computing with High-Dimensional Vectors - Fall 2021
This seminar will introduce an emerging computing framework that is based on using high-dimensional vectors to represent and manipulate symbols, data structures, and functions. In recent years, there have been an increasing number of applications in perception, analogical reasoning, models of memory, and language processing. These applications in turn can help us understand how these functions are performed by distributed networks of neurons in the brain.
Spring 2021
The Art of Modeling - Spring 2021
While models are central to scientific practice, modeling remains a surprisingly individual process that relies on the inclinations and ingenuity of the investigator. In this course we will attempt to identify what constitutes a good model by examining general perspectives on modeling practice and specific case studies of successful models, as well as modeling our own data sets.
Fall 2020
VS265: Neural Computation - Fall 2020
This course provides an introduction to the theory of neural computation, especially as it pertains to vision. Topics include neural network models, learning rules, associative memory models, recurrent networks, and models of neural coding in the brain.
Fall 2018
VS265: Neural Computation - Fall 2018
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.
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.
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.
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.
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.
Fall 2014
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.
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?
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.
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.
Spring 2012
VS298: Animal Eyes
This seminar will survey the wide variety of eye designs and visual systems found in the animal kingdom.
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.
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.
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.
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.