Inspiration from Neurosciences to emulate Cognitive Tasks at different Levels of Time
Abstract
Our team has been working for more than ten years on the modelling of biologically inspired artificial neural networks. Today, our models are used to different cognitive tasks like autonomous behavior and exploration for a robot, planning, reasoning, and other tasks linked to memory and internal representation building. We present the framework that underlies these models through the time delays related to several fundamental properties like information coding, learning, planning, motivation.
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