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» The Complexity of the Brain: Structural, Functional, and Dyn...
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GECCO
2003
Springer
153views Optimization» more  GECCO 2003»
15 years 2 months ago
SEPA: Structure Evolution and Parameter Adaptation in Feed-Forward Neural Networks
Abstract. In developing algorithms that dynamically changes the structure and weights of ANN (Artificial Neural Networks), there must be a proper balance between network complexit...
Paulito P. Palmes, Taichi Hayasaka, Shiro Usui
CAINE
2006
14 years 11 months ago
A novel parallel hardware and software solution for a large-scale biologically realistic cortical simulation
This research addresses a major gap in our conceptual understanding of synaptic and brain-like network dynamics. Over the course of several years we have designed and implemented ...
Frederick C. Harris Jr., Mark C. Ballew, Jason Bau...
DATE
2010
IEEE
148views Hardware» more  DATE 2010»
15 years 2 months ago
DVFS based task scheduling in a harvesting WSN for Structural Health Monitoring
— The task scheduler of an energy harvesting wireless sensor node (WSN) must adapt the task complexity and maximize the accuracy of the tasks within the constraint of limited ene...
A. Ravinagarajan, D. Dondi, Tajana Simunic Rosing
NIPS
2007
14 years 11 months ago
Locality and low-dimensions in the prediction of natural experience from fMRI
Functional Magnetic Resonance Imaging (fMRI) provides dynamical access into the complex functioning of the human brain, detailing the hemodynamic activity of thousands of voxels d...
Francois Meyer, Greg Stephens
AP2PC
2003
Springer
15 years 3 months ago
G-Grid: A Class of Scalable and Self-Organizing Data Structures for Multi-dimensional Querying and Content Routing in P2P Networ
Peer-to-Peer (P2P) technologies promise to provide efficient distribution, sharing and management of resources, such as storage, processing, routing and other sundry service capabi...
Aris M. Ouksel, Gianluca Moro