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| The primary objective of the Brain Computation lab at University of Nevada, Reno is to discover principles and develop models of social intelligence in an artif icial agent, with biology as basis. To help with this aim, a complex and relativ ely biologically realistic spiking neural network simulator was developed. This is the NeoCortical Simulator version 5 (NCS 5) which is capable of efficiently s imulating large neural networks (more than 10,000 cells and 1,000,000 synapses) using a parallel cluster. The work done in this thesis develops neural network m odels which exhibit the principle of background activity present in a live biolo gical brain using NCS. The principle of Recurrent Asynchronous Irregular Network (RAIN) might provide a basis for developing more advanced human aspects of memo ry, learning, consciousness, and pattern recognition and various other applicati on fields. Furthermore, benchmarks were done to test neural networks used in a V irtual Social Robot (VSR) loop. Results of these benchmarks showed capabilities of our cluster and current software which would prove vital for future upgrades and design of neural network models using NCS. |
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| Posted on:28 Dec 2007 | |