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SUMMARY:Organic neuromorphic electronics and biohybrid systems - Yoeri van
  de Burgt (Eindhoven University of Technology)
DTSTART:20211119T110000Z
DTEND:20211119T120000Z
UID:TALK163039@talks.cam.ac.uk
CONTACT:40340
DESCRIPTION:Neuromorphic computing could address the inherent limitations 
 of conventional silicon technology in dedicated machine learning applicati
 ons. Recent work on large crossbar arrays of two-terminal memristive devic
 es has led to the development of promising neuromorphic systems. However\,
  delivering a compact and efficient parallel computing technology that is 
 capable of embedding artificial neural networks in hardware remains a sign
 ificant challenge. \n\nOrganic electronic materials have shown potential t
 o overcome some of these limitations. This talk describes state-of-the-art
  organic neuromorphic devices and provides an overview of the current chal
 lenges in the field and attempts to address them. I demonstrate a novel co
 ncept based on an organic electrochemical transistor and show how we can u
 se these devices in trainable biosensors and smart autonomous robotics.\n\
 nNext to that\, organic electronic materials have the potential to operate
  at the interface with biology. This can pave the way for novel architectu
 res with bio-inspired features\, offering promising solutions for the mani
 pulation and the processing of biological signals and potential applicatio
 ns ranging from brain-computer-interfaces and smart robotics to bioinforma
 tics. I will highlight our recent efforts for such hybrid biological memor
 y devices. \n\n\n[1] van de Burgt\, Nature Materials\, 2017\, doi:10.1038/
 nmat4856\n[2] van de Burgt\, Nature Electronics\, 2018\, doi:10.1038/s4192
 8-018-0103-3\n[3] Keene\, Nature Materials\, 2020\, doi:10.1038/s41563-020
 -0703-y\n\n\n\nWhere: Virtually on Zoom https://us02web.zoom.us/j/88908652
 048?pwd=MDV3N3k0YnNWMlhKOEk1NDZlUEtaUT09\n
LOCATION:Virtually\, at Zoom
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