Paper Info
Title
Technical integration of hippocampus, Basal Ganglia and physical models for spatial navigation.
Abstract
Computational neuroscience is increasingly moving beyond modeling individual neurons or neural systems to consider the integration of multiple models, often constructed by different research groups. We report on our preliminary technical integration of recent hippocampal formation, basal ganglia and physical environment models, together with visualisation tools, as a case study in the use of Python across the modelling tool-chain. We do not present new modeling results here. The architecture incorporates leaky-integrator and rate-coded neurons, a 3D environment with collision detection and tactile sensors, 3D graphics and 2D plots. We found Python to be a flexible platform, offering a significant reduction in development time, without a corresponding significant increase in execution time. We illustrate this by implementing a part of the model in various alternative languages and coding styles, and comparing their execution times. For very large-scale system integration, communication with other languages and parallel execution may be required, which we demonstrate using the BRAHMS framework's Python bindings.
Year
DOI
Venue
2009
10.3389/neuro.11.006.2009
Front. Neuroinform.
Field
DocType
Volume
Computational neuroscience,3D computer graphics,Collision detection,Computer science,Visualization,Coding (social sciences),Artificial intelligence,Spatial memory,Machine learning,Python (programming language),System integration
Journal
3
ISSN
Citations 
PageRank 
1662-5196
5
0.73
References 
Authors
12
6
Name
Order
Citations
PageRank
Charles W. Fox116214.65
mark d humphries2434.48
Ben Mitchinson314517.74
Tamas Kiss415917.82
Zoltan Somogyvari550.73
Tony J. Prescott616428.77