The remarkable interaction performance between biological nervous systems and the environment is a result of a million years evolution explained by Darwinism. Exploring the whole signal pathway from sensory transduction, decision making neuron ensembles and the final response via motor neurons and muscles are the challenging task in neuroscience. Yet still, the real benefits of biological information processing when it comes to cognitive tasks or pattern recognition together with extreme power efficiency, are still unattainable in technical pendants.
Based on memristive devices as an electrical pendant to biological synapses, we will explore novel neuromorphic circuits taking the fascinating topological structures and dynamical synchronisation mechanisms of the nervous system as a guideline. Our overarching long-term goals are autonomous and energy-efficient cognitive electronics systems to nucleate a paradigm shift in information technology, which may lead to improved system performances in visual pattern recognition, audio real-time signal processing, autonomous robots, internet of things, and green IT. The RU 2093 will tackle the cutting-edge science of memristive devices in neuromorphic circuits by an interdisciplinary team of scientists from electrical engineering, physics, material science, neurobiology and biological psychology.
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