CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.
Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .
Rezultaty
This deliverable will a short report on the Website of the project.
This deliverable will report on how the Plan4Act project will set out to disseminate its results.
Report on neural network model encoding sequences.This deliverable will report on the design of a neural network encoder which is able to model neural sequences belonging to the monkey recordings from WP1. This is the basic starting point of the model for emulating data from Tests 1 and 2 (see Part-B).
Short report and specification data sheet about the implementation of the interfaces for the Smart House.This deliverable will provide a report in the form of a data sheet specifying the actual implementations of the required interfaces that allow connecting Smart House devices to the experimental data from WP1 via the controllers developed in WP2 and WP3.
First report on the adaptable network controller for complex action sequence generation and smart house control.This deliverable will report how the adaptive control units from D3.1 can be combined into an adaptable network controller that allows encoding complex action sequence information and can be used for the controlling of a Smart House.
Report on neural encoding of complex action sequences in SmartCage for Test 2 and update on Test 1.This deliverable will report how complex action sequences are encoded by the neurons in response to monkey predictive behavior in the SmartCage. This concerns Test 2 as described in Paert-B. In addition the report will provide an update on Test 1.
Final report on the hardware controller and integration into the demonstrator for proactive neural-based smart house control.This deliverable is the continuation from D3.2 and represents the final report on how to create an adaptable network controller from the adaptive control units from D3.1. It shall report how to finally encode complex action sequence information with this network and how to use it for smart house control.
First Report on status of experimental setup (SmartCage), training, behavioral testing, and neural recording.This deliverable will report how the Smart Cage will be set up, which functions it will support and how it shall operate in conjunction with neural recordings. It will address the training and behavioral testing aspects as well as the actual recording setup for monkey neural recordings.
Report on the status of Smart House devices and interfaces for connecting to the controllers of WP2 and WP3.This deliverable will report on the different devices and interfaces that exist in the here used Smart House in order to allow us to connect them with the controllers from WP2 and WP3.
Pro Memori: reporting as per Grant AgreementCovers all reporting obligations (periodic and final) as required by the Grant Agreement
Report on behavioral testing and status of recording with SmartCage action sequence planning for Test 1."This deliverable will report about the specific experiments for the action sequence planning in ""Test 1"" as described in Part-B. This concerns behavioral testing as well as the corresponding neural recordings in the SmartCage."
Data sheet of definitions of experimental conditions for the Smart House as depending on the setup and data of WP1.This deliverable will provide a report in the form of a data sheet specifying the different required definitions of the experimental conditions which would allow controlling a Smart House with neural data from Tests 1 and 2 (see Part-B). Hence it provides the link to the experimental data from WP1.
Report on neural network model enabling the prediction of complex planned sequences of actions.This deliverable will report on the next extension of the neural network controller to model the prediction of complex planned sequences of actions. This concerns Test 2 as described in Part-B.
Final report on all dissemination activities.This deliverable will be the final report on all dissemination activities of Plan4Act
Report on neural network model which predicts distractor-robustly the planned sequence of actionsThis deliverable will report on the final version of the neural network controller to model the data in a way which is robust against distractors in the planned sequence of actions. This concerns Tests 1 and 2 as described in Part-B.
Report on neural network model using the sequential structure to predict the present sequence.This deliverable will report on the neural network model extended to be able to predict the data from Test 1 (see Part-B), which will use a sequential structure with the goal to be able to predict the present behavioral sequence.
Report on generic reduced control units for complex action sequence formation.This deliverable reports on the electronic implementation and it will describe how the cell assemblies in the neural network from WP2 can be generically reduced into electronic control units that allow encoding of complex action sequence information.
Report of all final specifications of the Smart House setup and interfaces.This deliverable will provide a report in the form of a data sheet and will be the continuation of D4.3 where we shall specify how all required interfaces are constituted and actually set up for Smart House control.
This deliverable will be the final demonstrator of this project and shall show how to use the hardware controller to control Smart House devices using data from both Tests (1 and 2). It is planned to show at least for the simpler Test 1 an online demo.
Demonstration of Smart House control using the software controller from WP2 and the Test 1 condition from WP1.This deliverable will be a demonstrator that shows the functionality of the software based controller from WP2 using the simpler Test 1 experimental data.
This deliverable will describe the Data Managment Plan as required by the Pilot on Open Research Data. This plan will discuss: 1) What types of data will the project generate/collect? 2) What standards will be used? 3) How this data will be exploited and/or shared/made accessible for verification and re-use? And how this data will be curated and preserved?
Publikacje
Autorzy:
Nan-Sheng Huang, Yi-Chung Chen, Jørgen Christian Larsen, Poramate Manoonpong
Opublikowane w:
Energies, Numer 13/9, 2020, Strona(/y) 2180, ISSN 1996-1073
Wydawca:
Multidisciplinary Digital Publishing Institute (MDPI)
DOI:
10.3390/en13092180
Autorzy:
Philipp Ulbrich, Alexander Gail
Opublikowane w:
Behavior Research Methods, 2021, ISSN 1554-3528
Wydawca:
Springer
DOI:
10.3758/s13428-021-01579-5
Autorzy:
Daniel Miner, Florentin Wörgötter, Christian Tetzlaff and Michael Fauth
Opublikowane w:
Biology, 2021, ISSN 2079-7737
Wydawca:
MDPI
DOI:
10.3390/biology10070577
Autorzy:
Johannes Maria Auth, Timo Nachstedt, Christian Tetzlaff
Opublikowane w:
Frontiers in Neural Circuits, Numer 14, 2020, ISSN 1662-5110
Wydawca:
Frontiers Research Foundation
DOI:
10.3389/fncir.2020.541728
Autorzy:
Jannik Luboeinski, Christian Tetzlaff
Opublikowane w:
Communications Biology, Numer 4/1, 2021, ISSN 2399-3642
Wydawca:
Nature Publishing Group
DOI:
10.1038/s42003-021-01778-y
Autorzy:
Sebastian Herzog, Christian Tetzlaff, Florentin Wörgötter
Opublikowane w:
Neural Networks, Numer 123, 2020, Strona(/y) 153-162, ISSN 0893-6080
Wydawca:
Pergamon Press Ltd.
DOI:
10.1016/j.neunet.2019.12.004
Autorzy:
Ezequiel Simeoni, Eugenio Gaeta, Rebeca I. García-Betances, Dave Raggett, Alejandro M. Medrano-Gil, Diego F. Carvajal-Flores, Giuseppe Fico, María Fernanda Cabrera-Umpiérrez, María Teresa Arredondo Waldmeyer
Opublikowane w:
Sensors, Numer 21/11, 2021, Strona(/y) 3587, ISSN 1424-8220
Wydawca:
Multidisciplinary Digital Publishing Institute (MDPI)
DOI:
10.3390/s21113587
Autorzy:
Jacques Kaiser, Michael Hoff, Andreas Konle, J. Camilo Vasquez Tieck, David Kappel, Daniel Reichard, Anand Subramoney, Robert Legenstein, Arne Roennau, Wolfgang Maass, Rüdiger Dillmann
Opublikowane w:
Frontiers in Neurorobotics, Numer 13, 2019, ISSN 1662-5218
Wydawca:
Frontiers Research Foundation
DOI:
10.3389/fnbot.2019.00081
Autorzy:
Wörgötter, F.; Ziaeetabar, F.; Pfeiffer, S.; Kaya, O.; Kulvicius, T.; Tamosiunaite, M.
Opublikowane w:
Scientific Reports, Numer 1, 2020, ISSN 2045-2322
Wydawca:
Nature Publishing Group
Autorzy:
Mathias Thor, Tomas Kulvicius, Poramate Manoonpong
Opublikowane w:
IEEE Transactions on Neural Networks and Learning Systems, 2020, Strona(/y) 1-13, ISSN 2162-237X
Wydawca:
IEEE Computational Intelligence Society
DOI:
10.1109/tnnls.2020.3016523
Autorzy:
Carlo Michaelis, Andrew B. Lehr, Christian Tetzlaff
Opublikowane w:
Frontiers in Neurorobotics, Numer 14, 2020, ISSN 1662-5218
Wydawca:
Frontiers Research Foundation
DOI:
10.3389/fnbot.2020.589532
Autorzy:
Daniel Miner, Christian Tetzlaff
Opublikowane w:
PLOS ONE, Numer 15/4, 2020, Strona(/y) e0223743, ISSN 1932-6203
Wydawca:
Public Library of Science
DOI:
10.1371/journal.pone.0223743
Autorzy:
Dennis Goldschmidt, Poramate Manoonpong, Sakyasingha Dasgupta
Opublikowane w:
Frontiers in Neurorobotics, Numer 11, 2017, ISSN 1662-5218
Wydawca:
Frontiers Research Foundation
DOI:
10.3389/fnbot.2017.00020
Autorzy:
Juliane Herpich, Christian Tetzlaff
Opublikowane w:
Network Neuroscience, Numer 3/2, 2019, Strona(/y) 606-634, ISSN 2472-1751
Wydawca:
The MIT Press
DOI:
10.1162/netn_a_00086
Autorzy:
Michael Berger, Peter Neumann, Alexander Gail
Opublikowane w:
Scientific Reports, Numer 9/1, 2019, ISSN 2045-2322
Wydawca:
Nature Publishing Group
DOI:
10.1038/s41598-019-39520-8
Autorzy:
Fatemeh Ziaeetabar, Tomas Kulvicius, Minija Tamosiunaite, Florentin Wörgötter
Opublikowane w:
Robotics and Autonomous Systems, Numer 110, 2018, Strona(/y) 173-188, ISSN 0921-8890
Wydawca:
Elsevier BV
DOI:
10.1016/j.robot.2018.10.005
Autorzy:
Mathias Thor, Poramate Manoonpong
Opublikowane w:
IEEE Robotics and Automation Letters, Numer 4/4, 2019, Strona(/y) 3324-3331, ISSN 2377-3766
Wydawca:
IEEE
DOI:
10.1109/lra.2019.2926660
Autorzy:
Janne Lappalainen, Juliane Herpich, Christian Tetzlaff
Opublikowane w:
Frontiers in Computational Neuroscience, Numer 13, 2019, ISSN 1662-5188
Wydawca:
Frontiers Research Foundation
DOI:
10.3389/fncom.2019.00026
Autorzy:
Valentina A. Unakafova, Alexander Gail
Opublikowane w:
Frontiers in Neuroinformatics, Numer 13, 2019, ISSN 1662-5196
Wydawca:
Frontiers Research Foundation
DOI:
10.3389/fninf.2019.00057
Autorzy:
Tadahiro Taniguchi, Emre Ugur, Matej Hoffmann, Lorenzo Jamone, Takayuki Nagai, Benjamin Rosman, Toshihiko Matsuka, Naoto Iwahashi, Erhan Oztop, Justus Piater, Florentin Worgotter
Opublikowane w:
IEEE Transactions on Cognitive and Developmental Systems, 2018, Strona(/y) 1-1, ISSN 2379-8920
Wydawca:
IEEE
DOI:
10.1109/tcds.2018.2867772
Autorzy:
Mathias Thor, Poramate Manoonpong
Opublikowane w:
IEEE Transactions on Neural Networks and Learning Systems, 2019, Strona(/y) 1-10, ISSN 2162-237X
Wydawca:
IEEE Computational Intelligence Society
DOI:
10.1109/tnnls.2019.2927737
Autorzy:
Krisna Rungruangsak-Torrissen, Poramate Manoonpong
Opublikowane w:
PLOS ONE, Numer 14/8, 2019, Strona(/y) e0216030, ISSN 1932-6203
Wydawca:
Public Library of Science
DOI:
10.1371/journal.pone.0216030
Autorzy:
Steffen Krüppel; Christian Tetzlaff
Opublikowane w:
Network Neuroscience, Numer 1, 2020, ISSN 2472-1751
Wydawca:
MIT Press
DOI:
10.1101/612341
Autorzy:
Poramate Manoonpong, Christian Tetzlaff
Opublikowane w:
Frontiers in Neurorobotics, Numer 12, 2018, ISSN 1662-5218
Wydawca:
Frontiers Research Foundation
DOI:
10.3389/fnbot.2018.00053
Autorzy:
Aitor Miguel-Blanco, Poramate Manoonpong
Opublikowane w:
Frontiers in Neural Circuits, Numer 14, 2020, ISSN 1662-5110
Wydawca:
Frontiers Research Foundation
DOI:
10.3389/fncir.2020.00046
Autorzy:
Michael Berger, Naubahar Shahryar Agha, Alexander Gail
Opublikowane w:
eLife, Numer 9, 2020, ISSN 2050-084X
Wydawca:
eLife Sciences Publications
DOI:
10.7554/elife.51322
Autorzy:
Nan-Sheng Huang, Jorgen Christian Larsen, Poramate Manoonpong
Opublikowane w:
2020 IEEE International Conference on Real-time Computing and Robotics (RCAR), 2020, Strona(/y) 339-344, ISBN 978-1-7281-7293-4
Wydawca:
IEEE
DOI:
10.1109/rcar49640.2020.9303043
Autorzy:
Nan-Sheng Huang, Jan-Matthias Braun, Ricardo Rodrigues do Carmo, Jorgen Christian Larsen, Poramate Manoonpong
Opublikowane w:
2020 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan), 2020, Strona(/y) 1-2, ISBN 978-1-7281-7399-3
Wydawca:
IEEE
DOI:
10.1109/icce-taiwan49838.2020.9258186
Autorzy:
Nan-Sheng Huang, Jan-Matthias Braun, Jorgen Christian Larsen, Poramate Manoonpong
Opublikowane w:
2019 20th International Carpathian Control Conference (ICCC), 2019, Strona(/y) 1-7, ISBN 978-1-7281-0702-8
Wydawca:
IEEE
DOI:
10.1109/carpathiancc.2019.8765994
Autorzy:
Nan-Sheng Huang, Jan-Matthias Braun, Jørgen Christian Larsen, Poramate Manoonpong
Opublikowane w:
8th Mediterranean Conference on Embedded Computing, 2019
Wydawca:
IEEE
Autorzy:
Nan-Sheng Huang, Jan-Matthias Braun, Jorgen Christian Larsen, Poramate Manoonpong
Opublikowane w:
2019 8th Mediterranean Conference on Embedded Computing (MECO), 2019, Strona(/y) 1-6, ISBN 978-1-7281-1740-9
Wydawca:
IEEE
DOI:
10.1109/meco.2019.8760065
Autorzy:
Gal Gorjup, Rok Vrabič, Stoyan Petrov Stoyanov, Morten Østergaard Andersen, Poramate Manoonpong
Opublikowane w:
Neural Information Processing - 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13–16, 2018, Proceedings, Part VII, Numer 11307, 2018, Strona(/y) 610-622, ISBN 978-3-030-04238-7
Wydawca:
Springer International Publishing
DOI:
10.1007/978-3-030-04239-4_55
Autorzy:
Michael Berger, Alexander Gail
Opublikowane w:
bioRxiv, 2018
Wydawca:
Cold Spring Harbor Laboratory
DOI:
10.1101/305334
Autorzy:
Florentin Wörgötter, Fatemeh Ziaeetabar, Stefan Pfeiffer, Osman Kaya, Tomas Kulvicius, Minija Tamosiunaite
Opublikowane w:
2019
Wydawca:
arxiv
Autorzy:
Kulvicius, Tomas; Herzog, Sebastian; Tamosiunaite, Minija; Wörgötter, Florentin
Opublikowane w:
Numer 7, 2021
Wydawca:
arxiv
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