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Nature Communications|December 14, 2025
Reshaping reservoirs with unsupervised Hebbian adaptationTanguy Cazalets, Joni DambreBiomimetics (Basel, Switzerland)|June 26, 2024
Exploiting Signal Propagation Delays to Match Task Memory Requirements in Reservoir ComputingStefan Iacob, Joni DambreBiomimetics (Basel, Switzerland)|December 27, 2024
Memory-Non-Linearity Trade-Off in Distance-Based Delay NetworksStefan Iacob, Joni DambreIEEE Transactions on Neural Networks and Learning Systems|December 2, 2015
Using Digital Masks to Enhance the Bandwidth Tolerance and Improve the Performance of On-Chip Reservoir Computing SystemsBendix Schneider, Joni Dambre, Peter BienstmanOptics Express|December 10, 2017
Integrated pillar scatterers for speeding up classification of cell hologramsAlessio Lugnan, Joni Dambre, Peter BienstmanScientific Reports|September 4, 2020
A training algorithm for networks of high-variability reservoirsMatthias Freiberger, Peter Bienstman, Joni DambreScientific Reports|April 13, 2019
Highly parallel simulation and optimization of photonic circuits in time and frequency domain based on the deep-learning framework PyTorchFloris Laporte, Joni Dambre, Peter BienstmanFrontiers in Neurorobotics|September 9, 2015
Reward-Modulated Hebbian Plasticity as Leverage for Partially Embodied Control in Compliant RoboticsJeroen Burms, Ken Caluwaerts, Joni DambreScientific Reports|January 30, 2021
Simulating self-learning in photorefractive optical reservoir computersFloris Laporte, Joni Dambre, Peter BienstmanIEEE Transactions on Neural Networks and Learning Systems|August 20, 2014
Optoelectronic Systems Trained With Backpropagation Through TimeMichiel Hermans, Joni Dambre, Peter BienstmanPageof 5