Ashhad S, Narayanan R. (2013). Quantitative interactions between the A-type K+ current and inositol trisphosphate receptors regulate intraneuronal Ca2+ waves and synaptic plasticity. The Journal of physiology. 591 [PubMed]

• Calcium waves and mGluR-dependent synaptic plasticity in CA1 pyr. neurons (Ashhad & Narayanan 2013) [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 [PubMed]

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

Diwakar S, Magistretti J, Goldfarb M, Naldi G, D'Angelo E. (2009). Axonal Na+ channels ensure fast spike activation and back-propagation in cerebellar granule cells. Journal of neurophysiology. 101 [PubMed]

• Multicompartmental cerebellar granule cell model (Diwakar et al. 2009) [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]

Geminiani A, Pedrocchi A, D'Angelo E, Casellato C. (2019). Response Dynamics in an Olivocerebellar Spiking Neural Network With Non-linear Neuron Properties. Frontiers in computational neuroscience. 13 [PubMed]

• Complex dynamics: reproducing Golgi cell electroresponsiveness (Geminiani et al 2018, 2019ab) [Model]

Genet S, Delord B. (2002). A biophysical model of nonlinear dynamics underlying plateau potentials and calcium spikes in purkinje cell dendrites. Journal of neurophysiology. 88 [PubMed]

Luque NR, Naveros F, Carrillo RR, Ros E, Arleo A. (2019). Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation. PLoS computational biology. 15 [PubMed]

• Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation (Luque et al 2019) [Model]

Masoli S, D'Angelo E. (2017). Synaptic Activation of a Detailed Purkinje Cell Model Predicts Voltage-Dependent Control of Burst-Pause Responses in Active Dendrites. Frontiers in cellular neuroscience. 11 [PubMed]

• Purkinje cell: Synaptic activation predicts voltage control of burst-pause (Masoli & D'Angelo 2017) [Model]

Nieus T et al. (2006). LTP regulates burst initiation and frequency at mossy fiber-granule cell synapses of rat cerebellum: experimental observations and theoretical predictions. Journal of neurophysiology. 95 [PubMed]

• Short term plasticity at the cerebellar granule cell (Nieus et al. 2006) [Model]

Roberts PD. (2007). Stability of complex spike timing-dependent plasticity in cerebellar learning. Journal of computational neuroscience. 22 [PubMed]

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

Saftenku EE. (2002). A simplified model of long-term plasticity in cerebellar mossy fiber-granule cell synapses. Neurophysiology/Neirofiziologiya. 34

• LTP in cerebellar mossy fiber-granule cell synapses (Saftenku 2002) [Model]

Steuber V et al. (2007). Cerebellar LTD and pattern recognition by Purkinje cells. Neuron. 54 [PubMed]

• Cerebellar purkinje cell (De Schutter and Bower 1994) [Model]

Steuber V, Willshaw D. (2004). A biophysical model of synaptic delay learning and temporal pattern recognition in a cerebellar Purkinje cell. Journal of computational neuroscience. 17 [PubMed]

Wetmore DZ, Mukamel EA, Schnitzer MJ. (2008). Lock-and-key mechanisms of cerebellar memory recall based on rebound currents. Journal of neurophysiology. 100 [PubMed]

Yamazaki T, Nagao S, Lennon W, Tanaka S. (2015). Modeling memory consolidation during posttraining periods in cerebellovestibular learning. Proceedings of the National Academy of Sciences of the United States of America. 112 [PubMed]

• Cerebellar memory consolidation model (Yamazaki et al. 2015) [Model]

Yamazaki T, Tanaka S. (2007). A spiking network model for passage-of-time representation in the cerebellum. The European journal of neuroscience. 26 [PubMed]

• Cerebellar gain and timing control model (Yamazaki & Tanaka 2007)(Yamazaki & Nagao 2012) [Model]