Tully PJ, Lindén H, Hennig MH, Lansner A. (2016). Spike-Based Bayesian-Hebbian Learning of Temporal Sequences. PLoS computational biology. 12 [PubMed]

See more from authors: Tully PJ · Lindén H · Hennig MH · Lansner A

References and models cited by this paper
References and models that cite this paper

Chrysanthidis N, Fiebig F, Lansner A. (2019). Introducing double bouquet cells into a modular cortical associative memory model Journal of Computational Neuroscience.

Cone I, Shouval HZ. (2021). Learning precise spatiotemporal sequences via biophysically realistic learning rules in a modular, spiking network. eLife. 10 [PubMed]

Fiebig F, Lansner A. (2017). A Spiking Working Memory Model Based on Hebbian Short-Term Potentiation. The Journal of neuroscience : the official journal of the Society for Neuroscience. 37 [PubMed]

Maes A, Barahona M, Clopath C. (2020). Learning spatiotemporal signals using a recurrent spiking network that discretizes time. PLoS computational biology. 16 [PubMed]

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