Poster: VisNEST - Interactive Analysis of Neural Activity Data
Modeling and simulating a brain’s connectivity produces an immense
amount of data, which has to be analyzed in a timely fashion.
Neuroscientists are currently modeling parts of the brain –
e.g. the visual cortex – of primates like Macaque monkeys in order
to deduce functionality and transfer newly gained insights to
the human brain. Current research leverages the power of today’s
High Performance Computing (HPC) machines in order to simulate
low level neural activity. In this paper, we describe an interactive
analysis tool that enables neuroscientists to visualize the resulting
simulation output. One of the driving challenges behind our development
is the integration of macroscopic data, e.g. brain areas, with
microscopic simulation results, e.g. spiking behavior of individual neurons.