Browsing by Subject "spiking neural networks"
Now showing items 1-3 of 3
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(2016-04-27)There is a growing concern over reliability, power consumption, and performance of traditional Von Neumann machines, especially when dealing with complex tasks like pattern recognition. In contrast, the human brain can ...
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Enhanced Reinforcement Learning with Attentional Feedback and Temporally Attenuated Distal Rewards (2015-08-09)This thesis presents a new reinforcement learning mechanism suitable to be employed in artificial spiking neural networks of leaky integrate-and-fire (LIF) or Izhikevich neurons. The proposed mechanism is upgraded from, ...
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(2018-11-08)Energy efficient architectures for brain inspired computing have been an active area of research with recent advances in the field of neuroscience. Spiking neural networks (SNN) are a class of artificial neural networks ...