DURIP: Computer Cluster for Large-scale Modeling and Data Analysis of Memory Consolidation
Abstract
Instrumental request: This proposal is to request funds for a new computational cluster. This system will significantly improve the quality and capability of the research proposed in our 2013 MURI award: ~Memory Consolidation During Sleep in Humans, Rodents and Computational Models~. Significant computational recourses are required to accomplish two criticalcomponents of the project: (a) large-scale simulations of the brain network; (b) analysis of multichannel ECoG and Utah array recordings from human cortex. The new computational cluster supported by this grant will allow us (a) to speed up dramatically our progress on theproject to study memory consolidation; (b) to implement new biophysical mechanisms; (c) to perform, otherwise not feasible, simulations of the brain models implementing thalamic, cortical and hippocampal network and including hundreds on thousands of neurons and billions of synapses using parallel computation on multiple cluster nodes; (d) to expand significantly the analysis of the multi-channel recordings from human subjects.The research team: Maxim Bazhenov (PI), Eric Halgren, and Terrence Sejnowski are PI/co-PIs on the ONR MURI funded research project to study memory consolidation.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Sep 30, 2016
- Source ID
- N000141612415
Entities
People
- Maksim Bazhenov
Organizations
- Office of Naval Research
- United States Navy
- University of California, San Diego