Class of 2010, Department of Mathematics and Co
mputer Science, Honors Program,
Mentor: Dr. Robert Dowman
, Department of Psychology.
A Toolkit for Developing Neural
Network Models of
Attention toward Threat.
, Dr. Robert Dowman
Departments of Computer Science
onnectionist neural network models have provided important insights into the functional interactions
between the brain areas involved in detecting and orienting attention towards threats to the body. Part of
involves comparing how well differ
ent physiologically feasible interactions (architectures)
fit the experimental data. Fully exploring these different architectures requires that
parameters be varied.
Varying these param
, as has been done in the past,
creates the need for an automated method of model comparison.
constrained by the use of
fixed connection strength parameters
and were only fit to
data and not the brain acti
In this work, a
generalized connectionist neural network
to address these issues
The toolkit exists as
of MATLAB scripts which allow
user to define, edit, parameterize, and
network models simulating psychological phenomena.
With this toolkit, m
odel comparison is made more
accurate by considering each model architecture using its corresponding optimal connection strength
Having developed this to
olkit, we will
the model architecture
, this time
optimal connection strengths
for each and quantifying how well each
the experimental behavioral and brain