Organic Neuromorphic Electronics for Sensory Coding and Biohybrid Systems

Neuromorphic engineering is inspired by the efficiency of the brain and focusses on how to emulate and utilise its functionality in hardware. Organic electronic materials have the potential to operate at the interface with biology and offer promising solutions for the manipulation and the processing of biological signals with potential applications ranging from efficient artificial intelligence systems and bioinformatics to brain-computer-interfaces and smart robotics.<br/><br/>This talk describes state-of-the-art organic neuromorphic devices and provides an overview of the current challenges in the field and attempts to address them. I demonstrate two device concepts based on novel organic mixed-ionic electronic materials and show how we can use these devices in trainable biosensors and smart autonomous robotics.<br/><br/>Next to that, organic electronic materials have the potential to operate at the interface with biology. This can pave the way for novel architectures with bio-inspired features, offering promising solutions for the manipulation and the processing of biological signals and potential applications ranging from brain-computer-interfaces to bioinformatics and neurotransmitter-mediated adaptive sensing. I will highlight our recent efforts for such hybrid biological memory devices.