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Open access Sep 2026

Learning to play with spikes: characterizing, predicting, and engineering unsupervised plasticity rules for spiking reservoir computing

Spiking reservoir computing, and reservoir computing more generally, is a powerful and efficient framework for neuromorphic and biological applications, in which a fixed random reservoir drives a trained readout. Its performance depends critically on the reservoir initialization, so that enriching the reservoir with ad...

Maciej Kania, Basile Confavreux, T. Vogels · 0 citations
Open access Sep 2026

Dale’s law, stability and nonlinearity are sufficient constraints to ignite transient and self-sustained neural dynamics

The motor cortex orchestrates a rich and flexible repertoire of network dynamics for rhythmic and goal-directed movements. Computational studies have begun to illuminate the mechanistic origins of this repertoire, but a comprehensive model that can explain the emergence of both transient and self-sustained dynamics is...

Nicoleta Condruz, Ivan Bulygin, C. Chintaluri et al. · 0 citations

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