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]

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]

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]

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]

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]

Lin RJ, Jaeger D. (2011). Using computer simulations to determine the limitations of dynamic clamp stimuli applied at the soma in mimicking distributed conductance sources. Journal of neurophysiology. 105 [PubMed]

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]

Mukunda CL, Narayanan R. (2017). Degeneracy in the regulation of short-term plasticity and synaptic filtering by presynaptic mechanisms. The Journal of physiology. 595 [PubMed]

• Conductance based model for short term plasticity at CA3-CA1 synapses (Mukunda & Narayanan 2017) [Model]

Polsky A, Mel B, Schiller J. (2009). Encoding and decoding bursts by NMDA spikes in basal dendrites of layer 5 pyramidal neurons. The Journal of neuroscience : the official journal of the Society for Neuroscience. 29 [PubMed]

• NMDA spikes in basal dendrites of L5 pyramidal neurons (Polsky et al. 2009) [Model]

Prescott SA, De Koninck Y, Sejnowski TJ. (2008). Biophysical basis for three distinct dynamical mechanisms of action potential initiation. PLoS computational biology. 4 [PubMed]

• Dynamics of Spike Initiation (Prescott et al. 2008) [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]

Rössert C, Solinas S, D'Angelo E, Dean P, Porrill J. (2014). Model cerebellar granule cells can faithfully transmit modulated firing rate signals. Frontiers in cellular neuroscience. 8 [PubMed]

• Information transmission in cerebellar granule cell models (Rossert et al. 2014) [Model]

Simmonds B, Chacron MJ. (2015). Activation of parallel fiber feedback by spatially diffuse stimuli reduces signal and noise correlations via independent mechanisms in a cerebellum-like structure. PLoS computational biology. 11 [PubMed]

• ELL pyramidal neuron (Simmonds and Chacron 2014) [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]

Vervaeke K et al. (2010). Rapid desynchronization of an electrically coupled interneuron network with sparse excitatory synaptic input. Neuron. 67 [PubMed]

• Rapid desynchronization of an electrically coupled Golgi cell network (Vervaeke et al. 2010) [Model]

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. (2012). A computational mechanism for unified gain and timing control in the cerebellum. PloS one. 7 [PubMed]

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