Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

Keywords

Equipment

Delete all

EvoSN: evolution of spiking neural networks for fundamental computational tasks and robot control

2013/08/M/ST6/00922

Keywords:

artificial neural networks spiking neural networks robotics bio-inspired models of computation

Descriptors:

  • ST6_7: Artificial intelligence, intelligent systems, multi-agent systems
  • ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
  • ST6_12: Scientific computing, simulation and modelling tools

Panel:

ST6 - Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems

Host institution :

Uniwersytet im. Adama Mickiewicza w Poznaniu, Wydział Biologii

woj. wielkopolskie

Other projects carried out by the institution 

Principal investigator (from the host institution):

prof. Borys Wróbel 

Number of co-investigators in the project: 5

Call: HARMONIA 4 - announced on 2012-12-15

Amount awarded: 643 500 PLN

Project start date (Y-m-d): 2013-10-09

Project end date (Y-m-d): 2018-11-08

Project duration:: 61 months (the same as in the proposal)

Project status: Project settled

Information in the final report

  • Articles in post-conference publications (9)
  1. Robust very small spiking neural networks evolved with noise to recognize temporal patterns.
    Authors:
    Muhammad Yaqoob; Borys Wróbel
    Conference:
    2018 Conference on Artificial Life (ALIFE 2018) (rok: 2018, ), Wydawca: MIT Press
    Data:
    konferencja 23.07-27.07.2018
    Status:
    Published
    DOI:
    link to the publication
  2. Evolution of Spiking Neural Networks Robust to Noise and Damage for Control of Simple Animats
    Authors:
    Borys Wróbel
    Conference:
    International Conference on Parallel Problem Solving from Nature; PPSN 2016 (rok: 2016, ), Wydawca: Springer
    Data:
    konferencja 17-21 września 2016
    Status:
    Published
  3. Spiking neural networks evolved to perform multiplicative operations
    Authors:
    Muhammad Aamir Khan; Volker Steuber ; Neil Davey ; Borys Wróbel
    Conference:
    International Conference on Artificial Neural Networks (ICANN 2018) (rok: 2018, ), Wydawca: Springer Lecture Notes in Computer Science 11139
    Data:
    konferencja 4.10-7.10.2018
    Status:
    Published
  4. Very small spiking neural networks evolved to recognize a pattern in a continuous input stream
    Authors:
    Muhammad Yaqoob; Borys Wróbel
    Conference:
    2017 IEEE Symposium Series on Computational Intelligence (SSCI) (rok: 2017, ), Wydawca: IEEE
    Data:
    konferencja 27.11-1.12.2017
    Status:
    Published
  5. Very small spiking neural networks evolved for temporal pattern recognition and robust to perturbed neuronal parameters
    Authors:
    Muhammad Yaqoob; Borys Wróbel
    Conference:
    International Conference on Artificial Neural Networks (ICANN 2018) (rok: 2018, ), Wydawca: Springer Lecture Notes in Computer Science 11139
    Data:
    konferencja 4.10-7.10.2018
    Status:
    Published
  6. Evolving spiking neural networks for temporal pattern recognition in the presence of noise
    Authors:
    Ahmed Abdelmotaleb, Neil Davey, Maria Schilstra, Volker Steuber, Borys Wróbel
    Conference:
    ALIFE 14: the Fourteenth International Conference on the Synthesis and Simulation of Living Systems (rok: 2014, ), Wydawca: MIT Press
    Data:
    konferencja 30 lipca - 2 sierpnia 2014
    Status:
    Published
  7. Spiking neural network controllers evolved for animat foraging based on temporal pattern recognition in the presence of noise on input
    Authors:
    Chama Bensmail ; Volker Steuber ; Neil Davey ; Borys Wróbel
    Conference:
    International Conference on Artificial Neural Networks (ICANN 2018) (rok: 2018, ), Wydawca: Springer Lecture Notes in Computer Science 11139
    Data:
    konferencja 4.10-7.10.2018
    Status:
    Published
  8. The Importance of Self-excitation in Spiking Neural Networks Evolved to Recognize Temporal Patterns
    Authors:
    Muhammad Yaqoob; Volker Steuber ; Borys Wróbel
    Conference:
    International Conference on Artificial Neural Networks (ICANN 2019) (rok: 2019, ), Wydawca: Springer Lecture Notes in Computer Science 11727
    Data:
    konferencja 17.09-19.09.2019
    Status:
    Published
  9. Evolving spiking neural networks to control animats for temporal pattern recognition and foraging
    Authors:
    Chama Bensmail ; Volker Steuber ; Neil Davey ; Borys Wróbel
    Conference:
    2017 IEEE Symposium Series on Computational Intelligence (SSCI) (rok: 2017, ), Wydawca: IEEE
    Data:
    konferencja 27.11-1.12.2017
    Status:
    Published

O Narodowym Centrum Nauki

Finansowanie nauki

Współpraca zagraniczna

Centrum prasowe

Deklaracja dostępności
Przetwarzanie danych osobowych
Polityka cookies

Partnerzy