Lecture Slides for
ETHEM ALPAYDIN
The MIT Press, 2010
[email protected]
http:/www.cmpe.boun.edu.tr/~ethem/i2ml2e
Lecture Notes for E Alpaydn 2010 Introduction to Machine Learning 2e The MIT Press (V1.0)
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Lecture Notes for E Alpaydn 2010 Introduction
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Fundamentals of
Computational Neuroscience
Chapter 1: Introduction!
Dec 09
What is Computational Neuroscience?
Computational Neuroscience is the theoretical study of the
brain to uncover the principles and mechanisms that guide the
development, or
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Fundamentals of
Computational Neuroscience
Chapter 4: Associators and synaptic plasticity !
Dec 09
Types of plasticity
Structural plasticity is the mechanism describing the
generation of new connections and thereby redefining
the topology of the n
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Fundamentals of
Computational Neuroscience
Chapter 3: Simplied neuron and population models! Dec 09
e leaky integrate-and- re neuron
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IF simulation
IF gain function
The inverse of the first passage time defines the firing rate:
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Fundamentals of
Computational Neuroscience
Chapter 10: The cognitive brain!
Dec 09
Hierarchical maps and attentive vision
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Attention in visual search and object recognition
Gustavo Deco
Model
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Example results
e interconnecting wo
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Fundamentals of
Computational Neuroscience
Chapter 6: Feedforward mapping networks!
Dec 09
Digital representation of a letter
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Examples given by lookup table
e population node as perceptron
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How to nd the right weight values: lea
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Fundamentals of
Computational Neuroscience
Chapter 9: Modular networks, motor control,
and reinforcement learning!
Dec 09
Mixture of experts
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e What-and-Where task
Jacobs and Jordan, 1992
Coupled attractor networks
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Limit on mod
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Fundamentals of
Computational Neuroscience
Chapter 8: Recurrent associative networks
and episodic memory!
Dec 09
Memory classi cation scheme (Squire)
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Auto-associative memory and the hippocampus
David Marr:
Simple memory: a theory for ar
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Fundamentals of
Computational Neuroscience
Chapter 7: Cortical maps and competitive population coding!
Dec 09
Tuning curves
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Self-organizing maps (SOMs)
Willshaw-von der Malsburg model
Network equations
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Shortcut
Kohonen model
so