Deliverables Documents, reports (7) Update data management plan Report on the definition of KPIs This deliverable deals with the definition and description of possible Key Performance Indices KPIs for ADOPD It it foreseen to critically rereview the usefulness of the heredefined KPIs at month 18 in the Periodic Report and possibly amend them following the needs of the project Report on the numerical results of SMF-based ODU topologies. This deliverable will report on how optical dendritic units ODUs will behave when implemented on single mode fibers SMF It will deal with numerical theoretical investigations of this Report on gradient-based optimization techniques for networks of dendritic units This is the first report where we will address larger networks of dendritic units Here we will address the question how to use different optimization methods gradientbased for achieving convergence when faced with different tasks Report on dendritic functionalities allowing adaptive dendritic computation using single-branched dendrites This deliverable will report on how to include adaptation synaptic plasticity into the single branch dendritic models for use on optic fibers Report on first non-linear model of transfer to optical systems This deliverable will report on how to transfer a nonlinear synapticdendritic model to the optical fiber systems single mode fibers Dissemination and Explotation plan Dissemination and Exploitation Plan Websites, patent fillings, videos etc. (2) Project Flyer This deliverable will be a flyer for dissemination to potentially interested parties in science and industry Project Web site Project Web site with Logo up and running Contains public and private area Open Research Data Pilot (1) Report on data management plan This deliverable will report on the data management plan of ADOPD according the OpenResearch Data Pilot Publications Other (3) Combining optimal path search with task-dependent learning in a neural network Author(s): Tomas Kulvicius, Minija Tamosiunaite, Florentin Wörgötter Published in: arxiv, 2022 Publisher: arxiv DOI: 10.48550/arxiv.2201.11104 A normative framework for learning top-down predictions through synaptic plasticity in apical dendrites Author(s): Rao, A., Legenstein, R., Subramoney, A. and Maass, W. Published in: 2021 Publisher: biorxiv DOI: 10.1101/2021.03.04.433822 A synapse-centric account of the free energy principle Author(s): Kappel, D. and Tetzlaff, C. Published in: 2021 Publisher: arxiv.org Peer reviewed articles (10) Microring resonators with external optical feedback for time delay reservoir computing Author(s): Giovanni Donati; Claudio R. Mirasso; Mattia Mancinelli; Lorenzo Pavesi; Apostolos Argyris Published in: Optics Express, Issue 30, 2022, Page(s) 522-537, ISSN 1094-4087 Publisher: Optical Society of America DOI: 10.1364/oe.444063 Differential Hebbian learning with time-continuous signals for active noise reduction Author(s): Konstantin Möller; David Kappel; Minija Tamosiunaite; Christian Tetzlaff; Bernd Porr; Florentin Wörgötter Published in: PLoS One, Issue 1, 2022, ISSN 1932-6203 Publisher: Public Library of Science DOI: 10.1371/journal.pone.0266679 Dendritic Computing: Branching Deeper into Machine Learning Author(s): Acharya, J., Basu, A., Legenstein, R., Limbacher, T., Poirazi, P., and Wu, X. Published in: Neuroscience, 2021, ISSN 0306-4522 Publisher: Elsevier BV DOI: 10.1016/j.neuroscience.2021.10.001 Optical dendrites for spatio-temporal computing with few-mode fibers Author(s): Ortín González, Silvia; Soriano, Miguel C.; Fischer, Ingo; Mirasso, Claudio R.; Argyris, Apostolos Published in: Optical Materials Express, Issue 12, 2022, Page(s) 1907-1919, ISSN 2159-3930 Publisher: Optical Society of America DOI: 10.1364/ome.453506 Bootstrapping Concept Formation in Small Neural Networks Author(s): Tamosiunaite, M., Kulvicius, T., Wörgötter, F. Published in: IEEE Transactions on Cognitive and Developmental Systems, 2021, ISSN 2379-8920 Publisher: Institute of Electrical and Electronics Engineers Inc. DOI: 10.1109/tcds.2022.3163022 Implementation of input correlation learning with an optoelectronic dendritic unit Author(s): Silvia Ortín; Miguel C. Soriano; Christian Tetzlaff; Florentin Wörgötter; Ingo Fischer; Claudio R. Mirasso; Apostolos Argyris Published in: Frontiers in Physics, Issue 11, 2023, Page(s) 1112295, ISSN 2296-424X Publisher: Frontiers Media DOI: 10.3389/fphy.2023.1112295 nMNSD—A Spiking Neuron-Based Classifier That Combines Weight-Adjustment and Delay-Shift Author(s): Susi, G., Antón-Toro, L.F., Maestú, F., Pereda, E. and Mirasso, C. Published in: Frontiers in Neuroscience, 2021, ISSN 1662-4548 Publisher: Frontiers Research Foundation DOI: 10.3389/fnins.2021.582608 Learn one size to infer all: Exploiting translational symmetries in delay-dynamical and spatiotemporal systems using scalable neural networks Author(s): Mirko Goldmann, Claudio R. Mirasso, Ingo Fischer, and Miguel C. Soriano Published in: Physical Review E, Issue 106, 2022, Page(s) 044211, ISSN 1539-3755 Publisher: American Physical Society DOI: 10.1103/physreve.106.044211 Unveiling the role of plasticity rules in reservoir computing Author(s): Morales, G.B., Mirasso, C.R. and Soriano, M.C. Published in: Neurocomputing, Issue 461, 2021, Page(s) 705-715, ISSN 0925-2312 Publisher: Elsevier BV DOI: 10.1016/j.neucom.2020.05.127 Photonic neuromorphic technologies in optical communications Author(s): Argyris, Apostolos Published in: Nanophotonics, Issue 11, 2022, ISSN 2192-8614 Publisher: Walter de Gruyter DOI: 10.1515/nanoph-2021-0578 Conference proceedings (1) Continual Learning with Memory Cascades Author(s): Kappel, D., Negri, F. and Tetzlaff, C. Published in: ICBINB Workshop at NeurIPS 2021, 2021 Publisher: NeurIPS Searching for OpenAIRE data... There was an error trying to search data from OpenAIRE No results available
