Cattani A, Solinas S, Canuto C. (2016). A Hybrid Model for the Computationally-Efficient Simulation of the Cerebellar Granular Layer. Frontiers in computational neuroscience. 10 [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 [PubMed]

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

Diwakar S, Parasuram H, Nair B, Medini C, Nair M. (2017). Computational Neuroscience of Timing, Plasticity and Function in Cerebellum Microcircuits (Chapter 12) Computational Neurology and Psychiatry, Springer Series in Bio-/Neuroinformatics.

• 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 Frontiers in neural circuits. 7 [PubMed]

• 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. Frontiers in computational neuroscience. 7 [PubMed]

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

Parasuram H et al. (2016). Computational Modeling of Single Neuron Extracellular Electric Potentials and Network Local Field Potentials using LFPsim. Frontiers in computational neuroscience. 10 [PubMed]

• Modeling single neuron LFPs and extracellular potentials with LFPsim (Parasuram et al. 2016) [Model]