2020 MRS Fall Meeting

Call for Papers

Symposium SM05—Brain-Inspired Information Processing—From Novel Material Concepts for Neuromorphic Computing to Sensing, Manipulation and Local Processing of Biological Signals

In this symposium, the latest advancements of organic and inorganic neuromorphic devices will be broadly covered. The symposium will offer an overview of the desired properties of bio-inspired and neuromorphic devices and systems, including the merged processing and storage capabilities, adaptivity, delocalized or spatially correlated features, biocompatibility, generic classification and learning. Key showcases of novel neuromorphic devices and materials systems will be highlighted that are oriented to a range of applications that span from traditional neuromorphic computing and efficient hardware-implemented neural networks to emulating biological neural network behavior and various concepts of neuromorphic sensing in bioelectronics.

Next to this, the rapidly expanding field of adaptable biointerfacing through the merging of bioelectronics and neuromorphic sensing and actuation will also be covered. The field of bioelectronics has made enormous progress towards the development of concepts, materials and devices that are capable of bi-directional interaction with a biological environment by incorporating concepts such as drug delivery and electrical / chemical stimulation. Nevertheless, fully autonomous bioelectronic applications demand not only the acquisition of biological signals using sensing platforms, but also local processing, storage and the extraction of specific features of merit. As such, sensors, materials and devices with bio-inspired features can offer promising solutions for the manipulation and processing of biological signals, spanning from brain-computer-interfaces and robotics to bioinformatics and the definition of novel computational paradigms at the interface with biology.

This symposium aspires to bring together world-wide experts in the fields of brain-inspired computing and bioelectronics to enhance transdisciplinary interactions and bridge the gaps between neuromorphic devices and neuroscience. The forum purports the exploitation of the wide range of new materials systems (e.g. diffusive memristors, 2D materials, organics, transition metals) and device properties towards novel applications in this increasingly promising field.

Topics will include:

  • Neuromorphic computing
  • Bio-inspired information processing
  • Inorganic and organic neuromorphic devices
  • Novel device systems (multi-terminal, hybrid devices etc.)
  • Memristive materials and devices at the interface with biology
  • Neuromorphic sensing
  • Bioelectronics
  • Neural interface devices
  • Adaptable / trainable biointerfacing
  • Biomimetic materials, devices and systems

Invited Speakers:

  • Deji Akinwande (University of Texas at Austin, USA)
  • Fabien Alibart (CNRS, France)
  • Fabio Biscarini (Università degli Studi di Modena e Reggio Emilia, Italy)
  • Geoffrey Burr (IBM Almaden Research Center, USA)
  • Tzahi Cohen-Karni (Carnegie Mellon University, USA)
  • Patrick Collier (Oak Ridge National Laboratory, USA)
  • Victor Erokhin (University of Parma, Italy)
  • Simone Fabiano (Linkoping University, Sweden)
  • Sahika Inal (King Abdullah University of Science and Technology, Saudi Arabia)
  • Tae-Woo Lee (Seoul National University, Republic of Korea)
  • Robert Nawrocki (Purdue University, USA)
  • Themis Prodromakis (University of Southampton, United Kingdom)
  • Jonathan Rivnay (Northwestern University, USA)
  • Jacob Robinson (Rice University, USA)
  • Alberto Salleo (Stanford University, USA)
  • Francesca Santoro (Italian Institute of Technology, Italy)
  • Ivan Schuller (University of California, San Diego, USA)
  • Benjamin Tee (National University of Singapore, Singapore)
  • Venky Venkatesan (National University of Singapore, Singapore)
  • Dominique Vuillaume (Université de Lille, France)
  • Joshua Yang (University of Massachusetts Amherst, USA)

Symposium Organizers

Yoeri van de Burgt
Technische Universiteit Eindhoven
Institute for Complex Molecular Systems
Netherlands

Paschalis Gkoupidenis
Max Planck Institute for Polymer Research
Molecular Electronics
Germany

Dion Khodagholy
Columbia University
Electrical Engineering
USA
212-853-1745, dk2955@columbia.edu

Duygu Kuzum
University of California, San Diego
Electrical and Computer Engineering
USA
858-534-2985, dkuzum@eng.ucsd.edu