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Institute of Neuroinformatics

Emerging Nanotechnologies

Recent developments in nano-technologies are making available extremely compact and low-power, but also variable and unreliable solid-state devices that can potentially extend the features of current CMOS technologies. In particular, memristors are regarded as a promising solution for modeling key features of biological synapses due to their nano-scale dimensions, their capacity to store multiple bits of information per element and the low energy required to write distinct states.

We are developing circuit solutions for integrating memristive devices in CMOS neuromorphic computing architectures and using them as adaptive elements in biophysically realistic synapse circuits. 

Funding support:

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  • EU FP7 FET project "RAMP" (612058); Nov 1, 2013 - Apr 30, 2017
  • EU Chist-ERA project "PNEUMA" (20CH21_138798/1); Sep 1, 2011 - Apr 30, 2015
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  • SNF project "Neuromorphic Computing Architectures" (CRSII2_160756); Sep 1, 2015 - Aug 31, 2019