Day 6:
Introduction to Representations & Neural Networks
Introduction to
Representations
A Computational Model of a
Neuron
Local Coding & Vector Coding
Examples of Feed Forward
Networks
Mathematical Analyses of
Performance
Representations in Neural
Networks
Start reading Paul
Churchlands What Happens to Reliabilism When it is Liberated from
Propositional Attitudes? (on ereserve)
Introduction to Representations
What are representations?
What are some of the different approaches to a theory of representation?
Why postulate them as part
of a theory of mind or knowledge?
What might some constraints
be on a theory of representation?
A
Computational Model of a Neuron
What are the parts of a
Neuron?
What do synapses do?
What does the soma do?
Axons and dendrites?
A computational version of
the above
To what extent is this
biologically realistic?
Local
Coding & Vector Coding
Local Coding and Vector
Coding are sometimes understood as types of representations
What is local coding?
What is vector coding?
Examples
of Feed Forward Networks
NetTalk
Cottrells Face Net
EMPATH
How are they trained?
Mathematical Analyses of Performance
State space analysis of
hidden units
Hierarchical cluster
plotting
State space analysis of
synapses
Representations in Neural
Networks
What, if anything, do
patterns of activation across neurons represent?
What, if anything, do
synapses represent?