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PHOCUS Project #240763. Towards a PHOtonic liquid state machine based on delay-CoUpled Systems (PHOCUS) . 7th RTD Framework Programme - Specific Programme Cooperation Theme 3 "Information and Communication Technologies" Call identifier: FP7-ICT-2009-C Proposal No 240763 PHOCUS
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PHOCUS Project #240763 Towards a PHOtonic liquid state machine based on delay-CoUpled Systems (PHOCUS) 7th RTD Framework Programme - Specific Programme Cooperation Theme 3 "Information and Communication Technologies" Call identifier: FP7-ICT-2009-C Proposal No 240763 PHOCUS Total Budget: 1,808,566 € UIB: 305,261 € CSIC: 330,228 €
PHOCUS Project #240763 Personnel Involved - UIB Raúl Toral Claudio Mirasso PI Alessandro Scirè Miguel C. Soriano Jade Martínez Llinàs Konstantin Hicke
PHOCUS Project #240763 Personnel Involved - CSIC Pere Colet Ingo Fischer PI Xavier Porte Neus Oliver
vin: input mask wij: connection matrix wim: trained readout PHOCUS Project #240763 Liquid State Machine Concept
PHOCUS Project #240763 Reservoir Computing • Has recently emerged as the generic name in the field of machine learning, that are capable of solving complex classification problems • RC is the mapping of a dynamical input onto a high dimensional state space. The input streams are converted into spatio-temporally distributed states of the reservoir. Specific computations can be realized by a mapping of these distributed states onto output states based on a trained readout. • Three properties are necessary and sufficient conditions for powerful real time computing: • Separation property (SP): SP addresses the amount of separation between the trajectories of internal states of the system that are caused by two different input streams • Approximation property (AP):addresses the capability to distinguish and transform different internal states of the liquid into given target outputs. • Fading Memory: ||u(t)-v(t)|| < d in [0,T], ||f(u)-f(v)|| < e in the same interval
Input t Input t Output Output t a) b) PHOCUS Project #240763 The aim of this project is to design and implement a photonics realization of a liquid state machine (LSM). • reduction of the number of required elements by using delay-coupled systems • performance comparison between excitable and non-excitable elements • investigation and implementation with electronic and photonics systems • exploration of improvements of the concept introducing adaptive coupling (plasticity) A single nonlinear element with delay is capable to perform certain task: Narma Test & Voice Recogniton
PHOCUS Project #240763 FET Open Statistics <success rate> ~ 7,3% Batch 6 = 5.4%
PHOCUS Project #240763 9 Projects Funded ~ 17 M€ EC Contribution