Bol K, Marsat G, Harvey-Girard E, Longtin A, Maler L. (2011). Frequency-tuned cerebellar channels and burst-induced LTD lead to the cancellation of redundant sensory inputs. The Journal of neuroscience : the official journal of the Society for Neuroscience. 31 [PubMed]

• Cancelling redundant input in ELL pyramidal cells (Bol et al. 2011) [Model]

Brader JM, Senn W, Fusi S. (2007). Learning real-world stimuli in a neural network with spike-driven synaptic dynamics. Neural computation. 19 [PubMed]

Carrillo RR, Ros E, Tolu S, Nieus T, D'Angelo E. (2008). Event-driven simulation of cerebellar granule cells. Bio Systems. 94 [PubMed]

Casellato C et al. (2014). Adaptive robotic control driven by a versatile spiking cerebellar network. PloS one. 9 [PubMed]

• Adaptive robotic control driven by a versatile spiking cerebellar network (Casellato et al. 2014) [Model]

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]

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

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

Chadderton P, Margrie TW, Häusser M. (2004). Integration of quanta in cerebellar granule cells during sensory processing. Nature. 428 [PubMed]

Clopath C, Badura A, De Zeeuw CI, Brunel N. (2014). A cerebellar learning model of vestibulo-ocular reflex adaptation in wild-type and mutant mice. The Journal of neuroscience : the official journal of the Society for Neuroscience. 34 [PubMed]

• Vestibulo-Ocular Reflex model in Matlab (Clopath at al. 2014) [Model]

Dangelo E, Nieus T, Bezzi M, Arleo A, Coenen O. (2005). (chapter) Modeling synaptic transmission and quantifying information transfer in the granular layer of the cerebellum Computational Intelligence and Bioinspired Systems, Proceedings. 3512

De Schutter E. (1997). A new functional role for cerebellar long-term depression. Progress in brain research. 114 [PubMed]

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

De Schutter E. (1998). Dendritic voltage and calcium-gated channels amplify the variability of postsynaptic responses in a Purkinje cell model. Journal of neurophysiology. 80 [PubMed]

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

Forrest MD. (2015). Simulation of alcohol action upon a detailed Purkinje neuron model and a simpler surrogate model that runs >400 times faster. BMC neuroscience. 16 [PubMed]

• Alcohol action in a detailed Purkinje neuron model and an efficient simplified model (Forrest 2015) [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]

Häusser M, Clark BA. (1997). Tonic synaptic inhibition modulates neuronal output pattern and spatiotemporal synaptic integration. Neuron. 19 [PubMed]

Jaeger D. (2003). No Parallel Fiber Volleys in the Cerebellar Cortex: Evidence from Cross-Correlation Analysis between Purkinje Cells in a Computer Model and in Recordings from Anesthetized Rats Journal of computational neuroscience. 14 [PubMed]

Kistler WM, De Zeeuw CI. (2003). Time windows and reverberating loops: a reverse-engineering approach to cerebellar function. Cerebellum (London, England). 2 [PubMed]

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. Frontiers in computational neuroscience. 8 [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 computational biology. 15 [PubMed]

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

Maex R, De Schutter E. (1998). Synchronization of golgi and granule cell firing in a detailed network model of the cerebellar granule cell layer. Journal of neurophysiology. 80 [PubMed]

• Network model of the granular layer of the cerebellar cortex (Maex, De Schutter 1998) [Model]
• Cerebellar granular layer (Maex and De Schutter 1998) [Model]

Manor Y, Rinzel J, Segev I, Yarom Y. (1997). Low-amplitude oscillations in the inferior olive: a model based on electrical coupling of neurons with heterogeneous channel densities. Journal of neurophysiology. 77 [PubMed]

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]

Porrill J, Dean P. (2007). Recurrent cerebellar loops simplify adaptive control of redundant and nonlinear motor systems. Neural computation. 19 [PubMed]

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]

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 computational biology. 11 [PubMed]

• Basis for temporal filters in the cerebellar granular layer (Roessert et al. 2015) [Model]

Santamaria F, Jaeger D, De Schutter E, Bower JM. (2002). Modulatory effects of parallel fiber and molecular layer interneuron synaptic activity on purkinje cell responses to ascending segment input: a modeling study. Journal of computational neuroscience. 13 [PubMed]

Santamaria F, Tripp PG, Bower JM. (2007). Feedforward inhibition controls the spread of granule cell-induced Purkinje cell activity in the cerebellar cortex. Journal of neurophysiology. 97 [PubMed]

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]

Sudhakar SK et al. (2017). Spatiotemporal network coding of physiological mossy fiber inputs by the cerebellar granular layer. PLoS computational biology. 13 [PubMed]

• Model of the cerebellar granular network (Sudhakar et al 2017) [Model]

Sudhakar SK, Torben-Nielsen B, De Schutter E. (2015). Cerebellar Nuclear Neurons Use Time and Rate Coding to Transmit Purkinje Neuron Pauses. PLoS computational biology. 11 [PubMed]

• Cerebellar nuclear neuron (Sudhakar et al., 2015) [Model]

Vos BP, Maex R, Volny-Luraghi A, De Schutter E. (1999). Parallel fibers synchronize spontaneous activity in cerebellar Golgi cells. The Journal of neuroscience : the official journal of the Society for Neuroscience. 19 [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]

Wilson CJ, Beverlin B, Netoff T. (2011). Chaotic desynchronization as the therapeutic mechanism of deep brain stimulation. Frontiers in systems neuroscience. 5 [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. (2005). Neural modeling of an internal clock. Neural computation. 17 [PubMed]

• Neural modeling of an internal clock (Yamazaki and Tanaka 2008) [Model]

Zang Y, Dieudonné S, De Schutter E. (2018). Voltage- and Branch-Specific Climbing Fiber Responses in Purkinje Cells Cell reports. 24 [PubMed]

• Voltage- and Branch-specific Climbing Fiber Responses in Purkinje Cells (Zang et al 2018) [Model]