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Authors: Pablo de Heras Ciechomski and Robin Mange

Affiliation: Visualbiotech, PSE-C EPFL, Switzerland

Keyword(s): Realtime system, computer graphics, visualization, computational biology, neuroscience.

Related Ontology Subjects/Areas/Topics: Bioinformatics ; Biomedical Engineering ; Biomedical Signal Processing ; Real-Time Systems

Abstract: This paper presents a method for real-time rendering of a neocortical column in the mouse brain with 10000 individually simulated neurons, as implemented in the software GabrielStudio (TM). It also presents how the same system is used to create movie sequences of scripted camera keyframes for high resolution outputs. The current system is running on an SGI Altix Prism Extreme with 16 parallel graphics cards and a shared memory of 300 GB. Gabrielstudio works as a virtual microscope for computational neuroscientists to analyze their simulations of neurons.

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Paper citation in several formats:
de Heras Ciechomski, P. and Mange, R. (2008). REALTIME NEOCORTICAL COLUMN VISUALIZATION. In Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2008) - Volume 2: BIOSIGNALS; ISBN 978-989-8111-18-0; ISSN 2184-4305, SciTePress, pages 283-288. DOI: 10.5220/0001068102830288

@conference{biosignals08,
author={Pablo {de Heras Ciechomski}. and Robin Mange.},
title={REALTIME NEOCORTICAL COLUMN VISUALIZATION},
booktitle={Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2008) - Volume 2: BIOSIGNALS},
year={2008},
pages={283-288},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001068102830288},
isbn={978-989-8111-18-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2008) - Volume 2: BIOSIGNALS
TI - REALTIME NEOCORTICAL COLUMN VISUALIZATION
SN - 978-989-8111-18-0
IS - 2184-4305
AU - de Heras Ciechomski, P.
AU - Mange, R.
PY - 2008
SP - 283
EP - 288
DO - 10.5220/0001068102830288
PB - SciTePress