Energetics-based simulation of 3D neuronal network: neurogenesis-inspired structure generation
-
1
JCSMR, Australia
-
2
Waran Research Foundation, India
Our work at WARFT is to create a simulation model for the human brain which encompasses properties and dynamics from the molecular to the large-scale intercortical processing level. Such a simulation model in addition to furthering noninvasive study of human brain will also help in disease modelling and drug discovery. Two important challenges to this project that are currently being addressed are generation of detailed neuronal circuits and energetics-based simulation of these circuits. The former is discussed in this poster while the latter is addressed in a companion poster. A summary of previous work on these problems can be found in the references. In this poster, we propose a novel and biologically realistic neurogenesis-based for structure generation and computation study of the developmental aspects of human brain. Heuristics are developed from the experimental studies in the development of brain circuits. This is a young and burgeoning field and not much is understood about the link between neurogenesis and eventual structure of adult brain circuits and their functionality. Thus, in order to develop a complete and representative set of heuristics, massive collaboration with experimental studies is required. The developed heuristics are then encoded in the form of a gene sequence. Using these gene sequences we generate large neuronal circuits. Any perturbation in the gene sequence results in a faulty circuit and helps in the study of developmental diseases of the human brain. In order to validate the method, we also form a set of plausible and biologically realistic heuristics. In addition, have formulated gene sequences using optimal encoding schemes because of the lack of experimental data. Armed with heuristics and gene sequences, we generate large circuits and study the impact of alteration in gene encoding on the structure and properties and eventually the functionality of neuronal circuits. A neurogenesis-based approach hasn't been proposed before and it can lead to interactive collaboration between computational studies and experiments studying developmental aspects of human brain.
References
1. N.Venkateswaran et al, "Towards Predicting Multi-Million Neuron Interconnectivity involving Dendrites-Axon-Soma Synapse: A Simulation Model", 7th International Conference on Computational Intelligence and Natural Computing in conjunction with 8th Joint Conference on Information Sciences (JCIS 2005) July 21 - 26, 2005, Salt Lake City, Utah,2005
2. N.Venkateswaran and R Rajesh, "Partitioned Parallel Processing Approach for Predicting Multi-Million Neuron Interconnectivity in the Brain: Involving Soma-Axon-Dendrites-Synapse", BICS 2004 Aug 29 - Sept 1 2004
3. Nagarajan V and Mohan A (2009). Towards linking blood flow and neural activity: Petri net-based energetics model for neurons. Frontiers in Systems Neuroscience. Conference Abstract: Computational and systems neuroscience 2009. doi: 10.3389/conf.neuro.06.2009.03.337
Conference:
Neuroinformatics 2010 , Kobe, Japan, 30 Aug - 1 Sep, 2010.
Presentation Type:
Poster Presentation
Topic:
Large scale modeling
Citation:
Mohan
A,
Nagarajan
V,
Ramanathan
S,
Sekhar
S and
Kannan
D
(2010). Energetics-based simulation of 3D neuronal network: neurogenesis-inspired structure generation.
Front. Neurosci.
Conference Abstract:
Neuroinformatics 2010 .
doi: 10.3389/conf.fnins.2010.13.00097
Copyright:
The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers.
They are made available through the Frontiers publishing platform as a service to conference organizers and presenters.
The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated.
Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed.
For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions.
Received:
14 Jun 2010;
Published Online:
14 Jun 2010.
*
Correspondence:
Ashutosh Mohan, JCSMR, Canberra, Australia, ashutosh.mohan@anu.edu.au