SYMONE Project: Synaptic Molecular Networks for Bio-Inspired Information Processing
Artikel i vetenskaplig tidskrift, 2012

Brain-inspired approaches emphasize the need for highly connected complex networks with long-range adaptive connections (the distant synapses). If implemented with non-biological technologies, these are raising problems with respect to: charging/discharging, cross-talk, delays, losses and heating, i.e. scalability issues well-known from CMOS technologies. Instead, SYMONE will explore the functionalities of bio-inspired scalable near-neighbour (locally-connected) networks and systolic-like array architectures. The SYMONE long-term vision is to build multi-scale bio-/neuro-inspired systems interfacing/connecting molecular-scale devices to macroscopic systems for unconventional information processing with scalable neuromorphic architectures. The SYMONE computational substrate is a memristive/synaptic network controlled by a multi-terminal structure of input/output ports and internal gates embedded in a classical digital CMOS environment. The SYMONE goal is the exploration of a multiscale platform connecting molecular-scale devices into networks for the development and testing of synaptic devices and scalable neuromorphic architectures, and for investigating materials and components with new functionalities. The generic breakthrough concerns proof-of-concept of unconventional information processing involving flow of information via near-neighbour short-range (local) interactions through a network of non-linear elements: switches, memristors/synapses. These will require several breakthroughs concerning the functionality of reasonably complex networks of simple components, and the fabrication of networks of devices, including self-assembly and multi-scale interfacing/contacting between such networks.

synapses

nanoscale

networks

characterisation

simulation

experiment

self-assembled

Molecular electronics

memristors

bioinspired

modeling

nanoparticles

molecular switches

computing

Författare

Göran Wendin

Chalmers, Mikroteknologi och nanovetenskap (MC2), Elektronikmaterial och system

D. Vuillaume

University of Lille

M. Calame

Universitat Basel

S. Yitzchaik

Hebrew University of Jerusalem

C. Gamrat

CEA Saclay

G. Cuniberti

Technische Universitat Dresden

V. Beiu

United Arab Emirates University

International Journal of Unconventional Computing

1548-7199 (ISSN) 1548-7202 (eISSN)

Vol. 8 325-332

Ämneskategorier

Data- och informationsvetenskap