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Solinas S, Nieus T, D'Angelo E (2010) A realistic large-scale model of the cerebellum granular layer predicts circuit spatio-temporal filtering properties. Front Cell Neurosci 4:12 [PubMed]

References and models cited by this paper

References and models that cite this paper

Cattani A, Solinas S, Canuto C (2016) A Hybrid Model for the Computationally-Efficient Simulation of the Cerebellar Granular Layer. Front Comput Neurosci 10:30 [Journal] [PubMed]
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]
Diwakar S, Medini C, Nair M, Parasuram H, Vijayan A, Nair B (2017) Computational Neuroscience of Timing, Plasticity and Function in Cerebellum Microcircuits (Chapter 12) Computational Neurology and Psychiatry, Springer Series in Bio-/Neuroinformatics, Érdi P:et al, ed. pp.343 [Journal]
  • Modeling single neuron LFPs and extracellular potentials with LFPsim (Parasuram et al. 2016) [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]
  • Distributed cerebellar plasticity implements adaptable gain control (Garrido et al., 2013) [Model]
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]
Luque NR, Garrido JA, Carrillo RR, D'Angelo E, Ros E (2014) Fast convergence of learning requires plasticity between inferior olive and deep cerebellar nuclei in a manipulation task: a closed-loop robotic simulation. Front Comput Neurosci 8:97 [Journal] [PubMed]
  • Fast convergence of cerebellar learning (Luque et al. 2015) [Model]
Luque NR, Naveros F, Carrillo RR, Ros E, Arleo A (2019) Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation. PLoS Comput Biol 15:e1006298 [Journal] [PubMed]
  • Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation (Luque et al 2019) [Model]
Masoli S, Solinas S, D'Angelo E (2015) Action potential processing in a detailed Purkinje cell model reveals a critical role for axonal compartmentalization. Front Cell Neurosci 9:47 [Journal] [PubMed]
  • A detailed Purkinje cell model (Masoli et al 2015) [Model]
Parasuram H, Nair B, D'Angelo E, Hines M, Naldi G, Diwakar S (2016) Computational Modeling of Single Neuron Extracellular Electric Potentials and Network Local Field Potentials using LFPsim. Front Comput Neurosci 10:65 [Journal] [PubMed]
  • Modeling single neuron LFPs and extracellular potentials with LFPsim (Parasuram et al. 2016) [Model]
Rössert C, Dean P, Porrill J (2015) At the Edge of Chaos: How Cerebellar Granular Layer Network Dynamics Can Provide the Basis for Temporal Filters. PLoS Comput Biol 11:e1004515 [Journal] [PubMed]
  • Basis for temporal filters in the cerebellar granular layer (Roessert et al. 2015) [Model]
Rössert C, Solinas S, D'Angelo E, Dean P, Porrill J (2014) Model cerebellar granule cells can faithfully transmit modulated firing rate signals. Front Cell Neurosci 8:304 [Journal] [PubMed]
  • Information transmission in cerebellar granule cell models (Rossert et al. 2014) [Model]
Simões de Souza F, De Schutter E (2011) Robustness effect of gap junctions between Golgi cells on cerebellar cortex oscillations Neural Systems & Circuits 1:7:1-19 [Journal]
  • Cerebellar cortex oscil. robustness from Golgi cell gap jncs (Simoes de Souza and De Schutter 2011) [Model]
Sudhakar SK, Hong S, Raikov I, Publio R, Lang C, Close T, Guo D, Negrello M, De Schutter E (2017) Spatiotemporal network coding of physiological mossy fiber inputs by the cerebellar granular layer. PLoS Comput Biol 13:e1005754 [Journal] [PubMed]
  • Model of the cerebellar granular network (Sudhakar et al 2017) [Model]
Torben-Nielsen B, Segev I, Yarom Y (2012) The generation of phase differences and frequency changes in a network model of inferior olive subthreshold oscillations. PLoS Comput Biol 8:e1002580 [Journal] [PubMed]
  • Inferior Olive, subthreshold oscillations (Torben-Nielsen, Segev, Yarom 2012) [Model]
Wilson CJ, Beverlin B, Netoff T (2011) Chaotic desynchronization as the therapeutic mechanism of deep brain stimulation. Front Syst Neurosci 5:50 [Journal] [PubMed]
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