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

2013/08/M/ST6/00922

Keywords

Descriptors

  • ST6_7: Sztuczna inteligencja, systemy inteligentne i wieloagentowe
  • ST6_11: Uczenie maszynowe, statystyczne przetwarzanie danych i zastosowanie w przetwarzaniu sygnałów
  • ST6_12: Obliczenia naukowe, narzędzia modelowania i symulacji

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

Voivodeship: wielkopolskie

Other projects carried out by the institution »

Principal investigator (from the host institution)

prof. Borys Jakub 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
2013-10-09
Project end date
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. 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) (year: 2017, pages: 3496-3503), Publisher: IEEE
    Date:
    conference 27.11-1.12.2017
    Status:
    Published

  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 (year: 2016, pages: 686-696), Publisher: Springer
    Date:
    conference 17-21 września 2016
    Status:
    Published

  3. 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 (year: 2014, pages: 965-972), Publisher: MIT Press
    Date:
    conference 30 lipca - 2 sierpnia 2014
    Status:
    Published

  4. 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) (year: 2017, pages: 3250-3257), Publisher: IEEE
    Date:
    conference 27.11-1.12.2017
    Status:
    Published

  5. 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) (year: 2018, pages: 665–672), Publisher: MIT Press
    Date:
    conference 23.07-27.07.2018
    Status:
    Published
    DOI:
    link to the publication

  6. 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) (year: 2018, pages: 304-313), Publisher: Springer Lecture Notes in Computer Science 11139
    Date:
    conference 4.10-7.10.2018
    Status:
    Published

  7. 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) (year: 2018, pages: 314-321), Publisher: Springer Lecture Notes in Computer Science 11139
    Date:
    conference 4.10-7.10.2018
    Status:
    Published

  8. 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) (year: 2018, pages: 322-331), Publisher: Springer Lecture Notes in Computer Science 11139
    Date:
    conference 4.10-7.10.2018
    Status:
    Published

  9. 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) (year: 2019, pages: 758-771), Publisher: Springer Lecture Notes in Computer Science 11727
    Date:
    conference 17.09-19.09.2019
    Status:
    Published

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