Deliverables
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?
Publications
Author(s):
Nan-Sheng Huang, Yi-Chung Chen, Jørgen Christian Larsen, Poramate Manoonpong
Published in:
Energies, Issue 13/9, 2020, Page(s) 2180, ISSN 1996-1073
Publisher:
Multidisciplinary Digital Publishing Institute (MDPI)
DOI:
10.3390/en13092180
Author(s):
Philipp Ulbrich, Alexander Gail
Published in:
Behavior Research Methods, 2021, ISSN 1554-3528
Publisher:
Springer
DOI:
10.3758/s13428-021-01579-5
Author(s):
Daniel Miner, Florentin Wörgötter, Christian Tetzlaff and Michael Fauth
Published in:
Biology, 2021, ISSN 2079-7737
Publisher:
MDPI
DOI:
10.3390/biology10070577
Author(s):
Johannes Maria Auth, Timo Nachstedt, Christian Tetzlaff
Published in:
Frontiers in Neural Circuits, Issue 14, 2020, ISSN 1662-5110
Publisher:
Frontiers Research Foundation
DOI:
10.3389/fncir.2020.541728
Author(s):
Jannik Luboeinski, Christian Tetzlaff
Published in:
Communications Biology, Issue 4/1, 2021, ISSN 2399-3642
Publisher:
Nature Publishing Group
DOI:
10.1038/s42003-021-01778-y
Author(s):
Sebastian Herzog, Christian Tetzlaff, Florentin Wörgötter
Published in:
Neural Networks, Issue 123, 2020, Page(s) 153-162, ISSN 0893-6080
Publisher:
Pergamon Press Ltd.
DOI:
10.1016/j.neunet.2019.12.004
Author(s):
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
Published in:
Sensors, Issue 21/11, 2021, Page(s) 3587, ISSN 1424-8220
Publisher:
Multidisciplinary Digital Publishing Institute (MDPI)
DOI:
10.3390/s21113587
Author(s):
Jacques Kaiser, Michael Hoff, Andreas Konle, J. Camilo Vasquez Tieck, David Kappel, Daniel Reichard, Anand Subramoney, Robert Legenstein, Arne Roennau, Wolfgang Maass, Rüdiger Dillmann
Published in:
Frontiers in Neurorobotics, Issue 13, 2019, ISSN 1662-5218
Publisher:
Frontiers Research Foundation
DOI:
10.3389/fnbot.2019.00081
Author(s):
Wörgötter, F.; Ziaeetabar, F.; Pfeiffer, S.; Kaya, O.; Kulvicius, T.; Tamosiunaite, M.
Published in:
Scientific Reports, Issue 1, 2020, ISSN 2045-2322
Publisher:
Nature Publishing Group
Author(s):
Mathias Thor, Tomas Kulvicius, Poramate Manoonpong
Published in:
IEEE Transactions on Neural Networks and Learning Systems, 2020, Page(s) 1-13, ISSN 2162-237X
Publisher:
IEEE Computational Intelligence Society
DOI:
10.1109/tnnls.2020.3016523
Author(s):
Carlo Michaelis, Andrew B. Lehr, Christian Tetzlaff
Published in:
Frontiers in Neurorobotics, Issue 14, 2020, ISSN 1662-5218
Publisher:
Frontiers Research Foundation
DOI:
10.3389/fnbot.2020.589532
Author(s):
Daniel Miner, Christian Tetzlaff
Published in:
PLOS ONE, Issue 15/4, 2020, Page(s) e0223743, ISSN 1932-6203
Publisher:
Public Library of Science
DOI:
10.1371/journal.pone.0223743
Author(s):
Dennis Goldschmidt, Poramate Manoonpong, Sakyasingha Dasgupta
Published in:
Frontiers in Neurorobotics, Issue 11, 2017, ISSN 1662-5218
Publisher:
Frontiers Research Foundation
DOI:
10.3389/fnbot.2017.00020
Author(s):
Juliane Herpich, Christian Tetzlaff
Published in:
Network Neuroscience, Issue 3/2, 2019, Page(s) 606-634, ISSN 2472-1751
Publisher:
The MIT Press
DOI:
10.1162/netn_a_00086
Author(s):
Michael Berger, Peter Neumann, Alexander Gail
Published in:
Scientific Reports, Issue 9/1, 2019, ISSN 2045-2322
Publisher:
Nature Publishing Group
DOI:
10.1038/s41598-019-39520-8
Author(s):
Fatemeh Ziaeetabar, Tomas Kulvicius, Minija Tamosiunaite, Florentin Wörgötter
Published in:
Robotics and Autonomous Systems, Issue 110, 2018, Page(s) 173-188, ISSN 0921-8890
Publisher:
Elsevier BV
DOI:
10.1016/j.robot.2018.10.005
Author(s):
Mathias Thor, Poramate Manoonpong
Published in:
IEEE Robotics and Automation Letters, Issue 4/4, 2019, Page(s) 3324-3331, ISSN 2377-3766
Publisher:
IEEE
DOI:
10.1109/lra.2019.2926660
Author(s):
Janne Lappalainen, Juliane Herpich, Christian Tetzlaff
Published in:
Frontiers in Computational Neuroscience, Issue 13, 2019, ISSN 1662-5188
Publisher:
Frontiers Research Foundation
DOI:
10.3389/fncom.2019.00026
Author(s):
Valentina A. Unakafova, Alexander Gail
Published in:
Frontiers in Neuroinformatics, Issue 13, 2019, ISSN 1662-5196
Publisher:
Frontiers Research Foundation
DOI:
10.3389/fninf.2019.00057
Author(s):
Tadahiro Taniguchi, Emre Ugur, Matej Hoffmann, Lorenzo Jamone, Takayuki Nagai, Benjamin Rosman, Toshihiko Matsuka, Naoto Iwahashi, Erhan Oztop, Justus Piater, Florentin Worgotter
Published in:
IEEE Transactions on Cognitive and Developmental Systems, 2018, Page(s) 1-1, ISSN 2379-8920
Publisher:
IEEE
DOI:
10.1109/tcds.2018.2867772
Author(s):
Mathias Thor, Poramate Manoonpong
Published in:
IEEE Transactions on Neural Networks and Learning Systems, 2019, Page(s) 1-10, ISSN 2162-237X
Publisher:
IEEE Computational Intelligence Society
DOI:
10.1109/tnnls.2019.2927737
Author(s):
Krisna Rungruangsak-Torrissen, Poramate Manoonpong
Published in:
PLOS ONE, Issue 14/8, 2019, Page(s) e0216030, ISSN 1932-6203
Publisher:
Public Library of Science
DOI:
10.1371/journal.pone.0216030
Author(s):
Steffen Krüppel; Christian Tetzlaff
Published in:
Network Neuroscience, Issue 1, 2020, ISSN 2472-1751
Publisher:
MIT Press
DOI:
10.1101/612341
Author(s):
Poramate Manoonpong, Christian Tetzlaff
Published in:
Frontiers in Neurorobotics, Issue 12, 2018, ISSN 1662-5218
Publisher:
Frontiers Research Foundation
DOI:
10.3389/fnbot.2018.00053
Author(s):
Aitor Miguel-Blanco, Poramate Manoonpong
Published in:
Frontiers in Neural Circuits, Issue 14, 2020, ISSN 1662-5110
Publisher:
Frontiers Research Foundation
DOI:
10.3389/fncir.2020.00046
Author(s):
Michael Berger, Naubahar Shahryar Agha, Alexander Gail
Published in:
eLife, Issue 9, 2020, ISSN 2050-084X
Publisher:
eLife Sciences Publications
DOI:
10.7554/elife.51322
Author(s):
Nan-Sheng Huang, Jorgen Christian Larsen, Poramate Manoonpong
Published in:
2020 IEEE International Conference on Real-time Computing and Robotics (RCAR), 2020, Page(s) 339-344, ISBN 978-1-7281-7293-4
Publisher:
IEEE
DOI:
10.1109/rcar49640.2020.9303043
Author(s):
Nan-Sheng Huang, Jan-Matthias Braun, Ricardo Rodrigues do Carmo, Jorgen Christian Larsen, Poramate Manoonpong
Published in:
2020 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan), 2020, Page(s) 1-2, ISBN 978-1-7281-7399-3
Publisher:
IEEE
DOI:
10.1109/icce-taiwan49838.2020.9258186
Author(s):
Nan-Sheng Huang, Jan-Matthias Braun, Jorgen Christian Larsen, Poramate Manoonpong
Published in:
2019 20th International Carpathian Control Conference (ICCC), 2019, Page(s) 1-7, ISBN 978-1-7281-0702-8
Publisher:
IEEE
DOI:
10.1109/carpathiancc.2019.8765994
Author(s):
Nan-Sheng Huang, Jan-Matthias Braun, Jørgen Christian Larsen, Poramate Manoonpong
Published in:
8th Mediterranean Conference on Embedded Computing, 2019
Publisher:
IEEE
Author(s):
Nan-Sheng Huang, Jan-Matthias Braun, Jorgen Christian Larsen, Poramate Manoonpong
Published in:
2019 8th Mediterranean Conference on Embedded Computing (MECO), 2019, Page(s) 1-6, ISBN 978-1-7281-1740-9
Publisher:
IEEE
DOI:
10.1109/meco.2019.8760065
Author(s):
Gal Gorjup, Rok Vrabič, Stoyan Petrov Stoyanov, Morten Østergaard Andersen, Poramate Manoonpong
Published in:
Neural Information Processing - 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13–16, 2018, Proceedings, Part VII, Issue 11307, 2018, Page(s) 610-622, ISBN 978-3-030-04238-7
Publisher:
Springer International Publishing
DOI:
10.1007/978-3-030-04239-4_55
Author(s):
Michael Berger, Alexander Gail
Published in:
bioRxiv, 2018
Publisher:
Cold Spring Harbor Laboratory
DOI:
10.1101/305334
Author(s):
Florentin Wörgötter, Fatemeh Ziaeetabar, Stefan Pfeiffer, Osman Kaya, Tomas Kulvicius, Minija Tamosiunaite
Published in:
2019
Publisher:
arxiv
Author(s):
Kulvicius, Tomas; Herzog, Sebastian; Tamosiunaite, Minija; Wörgötter, Florentin
Published in:
Issue 7, 2021
Publisher:
arxiv
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