Call for Papers

Please contact the symposium organizers with questions.

Neuromorphic electronics are inspired by biological systems and aim to revolutionise the next generation of computing, especially in wearable and robotic applications. The emulation of adaptive learning and massively parallel processing of sensory input by the brain in novel neural-like computing architectures holds promise for low power consumption, fast response and high-density integration electronics. Therefore, inherently flexible, multi-functional and biocompatible materials are sought after to develop artificial synapses and neuromorphic sensory systems, which integrate sensing, data storage and processing capabilities. Organic semiconductors, perovskites, metal oxides and transition metal dichalcogenides are some examples of material classes that fulfil these requirements.This symposium will cover latest advances in materials and devices emulating synaptic functionalities, such as organic electrochemical transistors and optoelectronic/photonic artificial synapses, and their integration into intelligent sensory systems (tactile, visual, olfactory, auditory). The future development of bionic perception in robotics relies in the efficient processing of different sensing signals using low power. To this end, photonic synapses hold promise for wide bandwidth and faster computation, properties particularly attractive in image recognition. Additionally, their fabrication using flexible substrates, such as polymer, paper or textile, favours their application in wearable electronics. Finally, coupling electrons with ions necessitates the use of bioinspired ionotronics to serve as the interface between the biological and electronic systems. This symposium will present contributions from an interdisciplinary pool of world-renowned speakers, from materials chemists to device physicists and from electronics engineers to neuroscientists, to invoke discussions that will lead to further advancements in this emerging technological field.

Topics will include:

• Organic, inorganic and hybrid materials for neuromorphic devices
• Optoelectronic/Photonic artificial synapses
• Devices and circuits for neuromorphic computing
• Novel device architectures
• Manufacturing of flexible neuromorphic devices and circuits
• Smart wearable devices
• Adaptive bio-interfacing
• Neural interface devices
• Bio-inspired information processing

Invited Speakers (tentative):

• Ana Claudia Arias (University of California, Berkeley, USA)
• Harish Bhaskaran (University of Oxford, United Kingdom)
• Doug Durian (University of Pennsylvania, USA)
• Wei Gao (California Institute of Technology, USA)
• Sahika Inal (King Abdullah University of Science and Technology, Saudi Arabia)
• John Labram (University College London, United Kingdom)
• Björn Lüssem (University of Bremen, Germany)
• Sayani Majumdar (Tampere University, Finland)
• Nripan Mathews (Nanyang Technological University, Singapore)
• Robert Nawrocki (Purdue University, USA)
• Sung Kyu Park (Chung-Ang University, Republic of Korea)
• Jonathan Rivnay (Northwestern University, USA)
• Alberto Salleo (Stanford University, USA)
• Jeff Shainline (National Institute of Standards and Technology, USA)
• Benjamin Tee (National University of Singapore, Singapore)
• Ioulia Tzouvadaki (Ghent University, Belgium)
• Qiangfei Xia (University of Massachusetts Amherst, USA)

Symposium Organizers