Complementary interactions between classical and top-down driven inhibitory mechanisms of attention

Autor: Low, S.C., Vouloutsi, V., Verschure, P.F.M.J.

Publikováno v: In Cognitive Systems Research June 2021 67:66-72

From models of cognition to robot control and back using spiking neural networks

Autor: Iacob, S.T., Kwisthout, J.H.P., Thill, S., Vouloutsi, V., Mura, A., Tauber, F., Speck, T., Prescott, T.J., Verschure, P.F.M.J.

Publikováno v: Vouloutsi, V.; Mura, A.; Tauber, F. (ed.), Biomimetic and Biohybrid Systems: Living Machines 2020, 176-191. Cham : Springer
STARTPAGE=176;ENDPAGE=191;TITLE=Vouloutsi, V.; Mura, A.; Tauber, F. (ed.), Biomimetic and Biohybrid Systems: Living Machines 2020
Vouloutsi, V.; Mura, A.; Tauber, F. (ed.), Biomimetic and Biohybrid Systems: Living Machines 2020, pp. 176-191

Contains fulltext : 228119.pdf (Publisher’s version ) (Closed access) With the recent advent of neuromorphic hardware there has been a corresponding rise in interest in spiking neural network models for the control of real-world artificial agents s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b6ac2ba3db4a77ee517077a45ba3dbf0
https://doi.org/10.1007/978-3-030-64313-3_18

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iCub-HRI: a software framework for complex human-robot interaction scenarios on the iCub humanoid robot

Autor: Fischer, T., Puigbò, J.Y., Camilleri, D., Nguyen, P.D.H., Moulin-Frier, C., Lallée, S., Metta, G., Prescott, T.J., Demiris, Y., Verschure, P.F.M.J.

Publikováno v: Frontiers in Robotics and AI

Generating complex, human-like behavior in a humanoid robot like the iCub requires the integration of a wide range of open source components and a scalable cognitive architecture. Hence, we present the iCub-HRI library which provides convenience wrap

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::84dc1e210c85a0fbb29cebea5cf43a74
http://hdl.handle.net/10230/43760

Classification of quantitative light-induced fluorescence images using convolutional neural network

Autor: Imangaliyev, S., van der Veen, M.H., Volgenant, C.M.C., Loos, B.G., Keijser, B.J.F., Crielaard, W., Levin, E., Lintas, A., Rovetta, S., Verschure, P.F.M.J., Villa, A.E.P.

Publikováno v: Artificial Neural Networks and Machine Learning – ICANN 2017: 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017 : proceedings, 778-779
STARTPAGE=778;ENDPAGE=779;TITLE=Artificial Neural Networks and Machine Learning – ICANN 2017
Artificial Neural Networks and Machine Learning – ICANN 2017: 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017 : proceedings, 2, 778-779

Images are an important data source for diagnosis of oral diseases. The manual classification of images may lead to suboptimal treatment procedures due to subjective errors. In this paper an image classification algorithm based on Deep Learning frame

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::087ed2850bba1971d78c2ef41366fcb7
https://research.vu.nl/en/publications/7e7fe29a-38c0-4c06-a1a6-c8efadb57861