A neural modeling platform known as Cog ex Machina(1) (Cog) developed in the context of the DARPA SyNAPSE(2) program offers a computational environment that promises, in a foreseeable future, the creation of adaptive ...
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ISBN:
(纸本)9781424496365
A neural modeling platform known as Cog ex Machina(1) (Cog) developed in the context of the DARPA SyNAPSE(2) program offers a computational environment that promises, in a foreseeable future, the creation of adaptive whole-brain systems subserving complex behavioral functions in virtual and robotic agents. Cog is designed to operate on low-powered, extremely storage-dense memristive hardware(3) that would support massively-parallel, scalable computations. We report an adaptiverobotic agent, ViGuAR(4), that we developed as a neural model implemented on the Cog platform. The neuromorphic architecture of the ViGuAR brain is designed to support visually-guided navigation and learning, which in combination with the path-planning, memory-driven navigation agent - MoNETA(5) - also developed at the Neuromorphics Lab at Boston University, should effectively account for a wide range of key features in rodents' navigational behavior.
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