VS265: Syllabus Fall2012 - Revision history

Bruno: Bruno moved page VS265: Syllabus to VS265: Syllabus Fall2012 without leaving a redirect

2014-08-28T18:44:19Z

Bruno moved page VS265: Syllabus to VS265: Syllabus Fall2012 without leaving a redirect

← Older revision	Revision as of 18:36, 28 August 2014
(No difference)

Bruno: /* Neuron models */

2012-08-29T04:12:28Z

Neuron models

← Older revision		Revision as of 04:04, 29 August 2012
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	==== Neuron models ====		==== Neuron models ====

			# Membrane equation, compartmental model of a neuron
	# Linear systems: vectors, matrices, linear neuron models		# Linear systems: vectors, matrices, linear neuron models
	# Perceptron model and linear separability		# Perceptron model and linear separability

Mudigonda: Copied content from 2010 page to "current" syllabus page

2012-08-28T03:15:40Z

Copied content from 2010 page to "current" syllabus page

← Older revision		Revision as of 03:07, 28 August 2012
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	#~~REDIRECT [[VS265~~: ~~Syllabus]]~~		== Syllabus ==

			==== Introduction ====
			# Theory and modeling in neuroscience
			# Descriptive vs. functional models
			# Turing vs. neural computation
			* '''Reading''': '''HKP''' chapter 1

			==== Neuron models ====

			# Linear systems: vectors, matrices, linear neuron models
			# Perceptron model and linear separability
			* '''Reading''': '''HKP''' chapter 5, '''DJCM''' chapters 38-40

			==== Supervised learning ====

			# Perceptron learning rule
			# Adaptation in linear neurons, Widrow-Hoff rule
			# Objective functions and gradient descent
			# Multilayer networks and backpropagation
			* '''Reading''': '''HKP''' chapter 6, 7, '''DJCM''' chapters 38-40, 44, '''DA''' chapter 8 (sec. 4-6)

			==== Unsupervised learning ====

			# Linear Hebbian learning and PCA, decorrelation
			# Winner-take-all networks and clustering
			# Sparse, distributed coding
			* '''Reading''': '''HKP''' chapter 8, '''DJCM''' chapter 36, '''DA''' chapter 8, 10

			==== Plasticity and cortical maps ====

			# Cortical maps
			# Self-organizing maps, Kohonen nets
			# Models of experience dependent learning and cortical reorganization
			# Manifold learning
			* '''Reading''': '''HKP''' chapter 9, '''DA''' chapter 8

			==== Recurrent networks ====
			# Hopfield networks
			# Pattern completion
			# Line attractors and `bump circuits’
			# Models of associative memory
			* '''Reading''': '''HKP''' chapter 2-3, '''DJCM''' chapter 42, '''DA''' chapter 7

			==== Probabilistic models and inference ====

			# Probability theory and Bayes’ rule
			# Learning and inference in generative models
			# The mixture of Gaussians model
			# Boltzmann machines
			# Sparse coding and ‘ICA’
			# Kalman filter model
			# Energy-based models
			* '''Reading''': '''DJCM''' chapter 1-3, 20-24,41,43, '''DA''' chapter 10

			==== Neural implementations ====

			# Integrate-and-fire model
			# Neural encoding and decoding
			# Limits of precision in neurons
			# Neural synchrony and phase-based coding
			* '''Reading''': '''DA''' chapter 1-4, 5.4

Mudigonda: Trying to fix syllabus of 2012 to point to 2010. This moving business is madness.

2012-08-28T03:12:33Z

Trying to fix syllabus of 2012 to point to 2010. This moving business is madness.

← Older revision		Revision as of 03:04, 28 August 2012
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	#REDIRECT [[VS265: Syllabus ~~Fall2010~~]]		#REDIRECT [[VS265: Syllabus]]

Mudigonda: moved VS265: Syllabus to VS265: Syllabus Fall2010

2012-08-28T02:52:01Z

moved VS265: Syllabus to VS265: Syllabus Fall2010

New page

#REDIRECT [[VS265: Syllabus Fall2010]]