[ r e a d   m o r e ]

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.

Transpositions [TP]:

Case Study 1



Computational Neuroscience

and Neurocomputing research group

at the KTH Royal Institute

of Technology, Stockholm.

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