PUBLICATIONS

[1]
Acharya, J., Basu, A., Legenstein, R., Limbacher, T., Poirazi, P., Wu, X. (2022). Dendritic computing: branching deeper into machine learning. Neuroscience, 489, 275-289.
[2]
Argyris, A. (2022). Photonic neuromorphic technologies in optical communications. Nanophotonics 11, 5, 897-916.
[3]
Baronig, M. and Legenstein, R. (2024). Context association in pyramidal neurons through local synaptic plasticity in apical dendrites. Frontiers in Neuroscience, 17:1276706
[4]
Donati, G., Mirasso, C.R., Mancinelli, M., Pavesi, L. and Argyris, A. (2022). Microring resonators with external optical feedback for time delay reservoir computing. Optics Express 30, 1, 522-537.
[5]
Goldmann, M., Mirasso, C.R., Fischer, I., Soriano, M.C. (2022). Learn one size to infer all: Exploiting translational symmetries in delay-dynamical and spatiotemporal systems using scalable neural networks. Physical Review E 106, 044211.
[6]
Kappel, D., Tetzlaff, C. Synapses learn to utilize pre-synaptic noise for the prediction of postsynaptic dynamics. PLoS Comput Biol, in revision.
[7]
Kulvicius, T., Tamosiunaite, M., Worgotter, F. (2023). Combining Optimal Path Search With Task-Dependent Learning in a Neural Network. IEEE Transactions on Neural Networks and Learning Systems.
[8]
Möller, K., Kappel, D., Tamosiunaite, M., Tetzlaff, C., Porr, B., Wörgötter, F. (2022). Differential Hebbian learning with time-continuous signals for active noise reduction. PLoS ONE 17(5): e0266679.
[9]
Ortín, S., Soriano, M.C., Tetzlaff, C., Wörgötter, F., Fischer, I., Mirasso, C.R., Argyris, A. (2023). Implementation of input correlation learning with an optoelectronic dendritic unit. Frontiers in Physics 11, 1112295.
[10]
Ortín, S., Soriano, M.C., Fischer, I., Mirasso, C.R., Argyris, A. (2022). Optical dendrites for spatio-temporal computing with few-mode fibers. Optical Materials Express 12, 5, 1907-1919.
[11]
Pflüger, M., Ortín, S., Leininger, L., Mirasso, C.R., Argyris, A. (2024). Experimental multi-bit header classification at 28.5 Gb/s with step-index few-mode fibers. TechRxiv.
[12]
Tamosiunaite, M., Kulvicius, T. and Wörgötter, F. (2022). Bootstrapping Concept Formation in Small Neural Networks. IEEE Transactions on Cognitive and Developmental Systems.
[13]
Tamosiunaite, M., Tetzlaff, C., Wörgötter, F. (2024) Unsupervised learning of perceptual feature combinations. PLoS Comput Biol 20(3): e1011926.


PATENTS

[1]
Wörgötter, F. and Tamosiunaite (inventors, 2022). Verfahren und Vorrichtung zur Ermittlung eines zeitlichen Versatzes zwischen Signalen an verschiedenen Signaleingängen. Patent submitted, 12.12. 2022, AZ.: DE102022132996.8.

Short description:
The ADSYNX technology provides a fast and adaptive method for the synchronization of different signals (skew compensation) for any electrical or optical system up to the GHz regime.

For more infomation, read this PDF or see adsynx.de.


CONFERENCE PAPERS

[1]
Ferrand, R., Baronig, M., Limbacher, T. and Legenstein, R. Context-Dependent Computations in Spiking Neural Networks with Apical Modulation. Artificial Neural Networks and Machine Learning – ICANN 2023 , L. Iliadis, A. Papaleonidas, P. Angelov, and C. Jayne, Eds., in Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, 2023, pp. 381–392
[2]
Ortín, S., Soriano, M.C., Fischer, I., Argyris, A., Mirasso, C.R. Study and implementation of optical dendritic units. XI Ibero-American Meeting of Optics / XIV Latin American Meeting of Optics, Lasers and Applications - RIAO OPTILAS 2023, 8271, San Jose, Costa Rica, March 2023.
[3]
Ortín, S., Soriano, M.C., Fischer, I., Mirasso, C.R., Argyris, A. Few-mode fibers as optical dendrites for 40 Gbps computing. SPIE Photonics West 2023, 12427-11, San Fransisco, CA, U.S.A, January 2023.
[4]
Ortín, S., Soriano, M.C., Fischer, I., Mirasso, C.R., Argyris, A. Dendritic-like computation using multimode optical fibers. 5th International Conference on Application of Optics and Photonics (AOP 2022), Guimaraes, Portugal, July 2022.
[5]
Pflünger, M., Ortín, S., Leininger, L., Soriano, M.C., Fischer, I., Mirasso, C.R., Argyris, A. Experimental multi-bit header recognition with few-mode fibers. SPIE Photonics West 2024, 12892-18, San Fransisco, CA, U.S.A, January 2024.