Poster

FZJ-2012-00854

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png VisNest - Interactive Analysis of Neural Activity Data

Nowke, C. (Corresponding author) ; Hentschel, B. ; Kuhlen, T. ; Eppler, J. M.FZJ* ; van Albada, S.FZJ* ; Bakker, R.FZJ* ; Diesmann, M.FZJ* ; Schmidt, M.FZJ*

2012

Please use a persistent id in citations: http://hdl.handle.net/2128/4886

Abstract: 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.

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Contributing Institute(s):

1. Computational and Systems Neuroscience (INM-6)
2. Jülich-Aachen Research Alliance - Translational Brain Medicine (JARA-BRAIN)

Research Program(s):

1. 331 - Signalling Pathways and Mechanisms in the Nervous System (POF2-331) (POF2-331)
2. HASB - Helmholtz Alliance on Systems Biology (HGF-SystemsBiology) (HGF-SystemsBiology)

Appears in the scientific report 2012

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Database coverage:

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