| 1 |
A cerebellar model of phase-locked tACS for essential tremor (Schreglmann et al., 2021) |
| 2 |
A Computational Model of Bidirectional Plasticity Regulation by betaCaMKII (Pinto et al. 2019) |
| 3 |
A cortico-cerebello-thalamo-cortical loop model under essential tremor (Zhang & Santaniello 2019) |
| 4 |
A detailed Purkinje cell model (Masoli et al 2015) |
| 5 |
A model of cerebellar LTD including RKIP inactivation of Raf and MEK (Hepburn et al 2017) |
| 6 |
A simplified cerebellar Purkinje neuron (the PPR model) (Brown et al. 2011) |
| 7 |
Adaptive robotic control driven by a versatile spiking cerebellar network (Casellato et al. 2014) |
| 8 |
Alcohol action in a detailed Purkinje neuron model and an efficient simplified model (Forrest 2015) |
| 9 |
Alcohol excites Cerebellar Golgi Cells by inhibiting the Na+/K+ ATPase (Botta et al.2010) |
| 10 |
Basis for temporal filters in the cerebellar granular layer (Roessert et al. 2015) |
| 11 |
Ca2+ requirements for Long-Term Depression in Purkinje Cells (Criseida Zamora et al 2018) |
| 12 |
Calcium dynamics depend on dendritic diameters (Anwar et al. 2014) |
| 13 |
Cancelling redundant input in ELL pyramidal cells (Bol et al. 2011) |
| 14 |
Cerebellar cortex oscil. robustness from Golgi cell gap jncs (Simoes de Souza and De Schutter 2011) |
| 15 |
Cerebellar gain and timing control model (Yamazaki & Tanaka 2007)(Yamazaki & Nagao 2012) |
| 16 |
Cerebellar Golgi cell (Solinas et al. 2007a, 2007b) |
| 17 |
Cerebellar Golgi cells, dendritic processing, and synaptic plasticity (Masoli et al 2020) |
| 18 |
Cerebellar granular layer (Maex and De Schutter 1998) |
| 19 |
Cerebellar granule cell (Masoli et al 2020) |
| 20 |
Cerebellar Model for the Optokinetic Response (Kim and Lim 2021) |
| 21 |
Cerebellar nuclear neuron (Sudhakar et al., 2015) |
| 22 |
Cerebellar Nucleus Neuron (Steuber, Schultheiss, Silver, De Schutter & Jaeger, 2010) |
| 23 |
Cerebellar stellate cells: changes in threshold, latency and frequency of firing (Mitry et al 2020) |
| 24 |
Cerebellum granule cell FHF (Dover et al. 2016) |
| 25 |
Cerebellum Purkinje cell: dendritic ion channels activated by climbing fibre (Ait Ouares et al 2019) |
| 26 |
Complex dynamics: reproducing Golgi cell electroresponsiveness (Geminiani et al 2018, 2019ab) |
| 27 |
Computational model of cerebellar tDCS (Zhang et al., 2021) |
| 28 |
Distributed cerebellar plasticity implements adaptable gain control (Garrido et al., 2013) |
| 29 |
Effect of voltage sensitive fluorescent proteins on neuronal excitability (Akemann et al. 2009) |
| 30 |
Fast convergence of cerebellar learning (Luque et al. 2015) |
| 31 |
Information transmission in cerebellar granule cell models (Rossert et al. 2014) |
| 32 |
Inverse stochastic resonance of cerebellar Purkinje cell (Buchin et al. 2016) |
| 33 |
Logarithmic distributions prove that intrinsic learning is Hebbian (Scheler 2017) |
| 34 |
Model of cerebellar parallel fiber-Purkinje cell LTD and LTP (Gallimore et al 2018) |
| 35 |
Model of the cerebellar granular network (Sudhakar et al 2017) |
| 36 |
Molecular layer interneurons in cerebellum encode valence in associative learning (Ma et al 2020) |
| 37 |
Multicompartmental cerebellar granule cell model (Diwakar et al. 2009) |
| 38 |
Multiplexed coding in Purkinje neuron dendrites (Zang and De Schutter 2021) |
| 39 |
Network model of movement disorders (Yousif et al 2020) |
| 40 |
Network model of the granular layer of the cerebellar cortex (Maex, De Schutter 1998) |
