Organic Memristive Devices and Neuromorphic Circuits
Bio-inspired computational systems must be based on elements involved, similarly to the brain, in both memorizing and processing of the information. This paper is dedicated to organic memristive devices—elements that were designed and constructed for mimicking the most important properties of synapses, responsible for Hebbian type of learning. We will consider the architecture of the device and its properties, as well as circuits and networks with adaptive features.
We acknowledge the financial support of the Future and Emerging Technologies (FET) programme within the Seventh Framework Programme for Research of the European Commission, under the Collaborative project PhyChip, grant agreement number 316366.
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