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Electronics, magnetics and photonics

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Neuro-inspired information processing: from novel materials concepts for neuromorphic computing to local processing of biological signals

The widely anticipated end to Moore’s law and the growing demand for low-power computing systems capable of learning, pattern recognition and real-time analysis of large streams of unstructured data has spurred intense interest in devices with basic forms of neuroplasticity as building blocks for efficient neuromorphic computing systems.

Scope:

The latest advancements of inorganic and organic neuromorphic devices will be broadly covered in this symposium. The symposium will offer an overview the desired properties of bio-inspired or 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 emulate biological neural network behavior and various concepts of neuromorphic sensing in bioelectronics.

The rapidly expanding field of adaptable biointerfacing through the merging of bioelectronics and neuromorphic sensing / actuation will also be covered in this symposium. The field of bioelectronics has made an 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 applications in the field of organic bioelectronics demand not only the acquisition of biological signals but also local data processing, storage and the extraction of specific features of merit. As such, materials, devices and architectures with bio-inspired features, can offer promising solutions for the manipulation and the 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 neuro-inspired computing and bioelectronics in order to enhance transdisciplinary interactions and bridge the gaps between memristive devices and neuroscience. The envisioned forum purports the exploitation of the wide range of novel materials (e.g. diffusive memristors, novel 2D materials, organics, transition metals) and device properties towards novel applications in this increasingly promising field.

Hot topics to be covered by the symposium:

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

List of confirmed invited speakers:

Neuromorphic computing – inorganic materials (Day 1)

  • Ronald Tetzlaff (TU Dresden, DE)
  • Daniele Ielmini (Polytechnico di Milano, IT)
  • Ilia Valov (RWTH Aachen, DE)
  • Manan Suri (IIT Delhi, IN)
  • Wilfried van der Wiel (University of Twente, NL)
  • Karin Everschor-Sitte (JGU Mainz, DE)

Neuromorphic computing – organic materials (Day 2)

  • Alberto Salleo (Stanford University, US)
  • Tae-Woo Lee (Seoul National University, KR)
  • Dominique Vuillaume (IEMN-CNRS, FR)
  • Victor Erokhin (CNR-IMEM, IT)
  • Simone Fabiano (Linköping University, SE)
  • Emil List-Kratochvil (Humboldt University Berlin, DE)

Bioelectronics, neuromorphic sensing and adaptable biointerfacing (Day 3-4)

  • George Malliaras (University of Cambridge, UK)
  • Fabio Biscarini (University of Modena, IT)
  • Themis Prodromakis (University of Southampton, UK)
  • Magnus Berggren (Linköping University, SE)
  • Robert Nawrocki (Purdue University, US)
  • Fabien Alibart (IEMN-CNRS, FR)
  • Michela Chiappalone (IIT Genova, IT)
  • Xiaodong Chen (Nanyang Technological University, SG)

Tentative list of scientific committee members:

  • Alberto Salleo (Stanford University, US)
  • George Malliaras (University of Cambridge, UK)
  • Giacomo Indiveri (University of Zurich, CH)
  • Themis Prodromakis (University of Southampton, UK)

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Symposium organizers
Duygu KUZUMUniversity of California

Department of Electrical and Computer Engineering, San Diego, USA

+1 858 534 2985
dkuzum@ucsd.edu
Jessamyn FAIRFIELDNational University of Ireland

School of Physics, Galway, Ireland

+353 91 492494
jessamyn.fairfield@nuigalway.ie
Paschalis GKOUPIDENIS (Main)Max Planck Institute for Polymer Research

Department of Molecular Electronics, Mainz, Germany

+49 6131379 605
gkoupidenis@mpip-mainz.mpg.de
Yoeri VAN DE BURGTEindhoven University of Technology

Department of Mechanical Engineering, Eindhoven, The Netherlands

+31402474419
y.b.v.d.burgt@tue.nl