Organic neuromorphic devices
The neuro-inspired paradigm of information processing at the hardware-based level is commonly termed as neuromorphic computing. In our group, we develop organic neuromorphic devices based on electrochemical concepts. These are low-power consumption devices, have the ability to operate in electrolytes, support the transport of various ionic and molecular species and exhibit spatiotemporal response. Due to these features, organic neuromorphic devices are able to capture more precisely the biological phenomena and to enhance biophysical realism in devices. By leveraging these features, we develop a variety of neuromorphic aspects of processing including short- and long-term synaptic plasticity phenomena, spatiotemporal processing functions. Next to that, organic devices based on electrochemical concepts have been traditionally used in bioelectronics. Merging the fields of neuromorphics and bioelectronics will potentially lead in novel computational paradigms at the interface between electronics and biology.
References
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