The focus of this case study was
a data set tracing the activities
of a trained network
of 2430 neurons exhibiting
spontaneous self-activation
of stored memory patterns.
In order to study the behaviour
of the network a dynamical system
was created that allowed
to transpose the correlations
between the activities of 81 groups
of neutrons into
a two dimensional figure.
Highly correlated groups
move closer together
and are eventually connected
by a line; gray surfaces
indicate correlations within the groups.
In contrast to the visual form,
the synchronous audio is based
on the raw spikes data,
attemping to create a situation
in which relationships may emerge
in the multimodal experience.