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Fall
VS Neural Computation - Fall
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
VS Neural Computation - Fall
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
Neuroscience Computing with High-Dimensional Vectors - Fall
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 la