Citation Relationships



Schweighofer N, Doya K, Lay F (2001) Unsupervised learning of granule cell sparse codes enhances cerebellar adaptive control. Neuroscience 103:35-50 [PubMed]

References and models cited by this paper

References and models that cite this paper

Cayco-Gajic NA, Clopath C, Silver RA (2017) Sparse synaptic connectivity is required for decorrelation and pattern separation in feedforward networks. Nat Commun 8:1116 [Journal] [PubMed]

  • Sparse connectivity is required for decorrelation, pattern separation (Cayco-Gajic et al 2017) [Model]

Diwakar S, Lombardo P, Solinas S, Naldi G, D'Angelo E (2011) Local field potential modeling predicts dense activation in cerebellar granule cells clusters under LTP and LTD control. PLoS One 6:e21928 [Journal] [PubMed]

  • Reconstructing cerebellar granule layer evoked LFP using convolution (ReConv) (Diwakar et al. 2011) [Model]

Garrido JA, Luque NR, D'Angelo E, Ros E (2013) Distributed cerebellar plasticity implements adaptable gain control in a manipulation task: a closed-loop robotic simulation Front. Neural Circuits 7:159:1-20 [Journal] [PubMed]

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Garrido JA, Ros E, D'Angelo E (2013) Spike timing regulation on the millisecond scale by distributed synaptic plasticity at the cerebellum input stage: a simulation study. Front Comput Neurosci 7:64 [Journal] [PubMed]

  • Distributed synaptic plasticity and spike timing (Garrido et al. 2013) [Model]

Roberts PD (2007) Stability of complex spike timing-dependent plasticity in cerebellar learning. J Comput Neurosci 22:283-96 [Journal] [PubMed]

  • Stability of complex spike timing-dependent plasticity in cerebellar learning (Roberts 2007) [Model]

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