| 1 |
A cerebellar model of phase-locked tACS for essential tremor (Schreglmann et al., 2021) |
| 2 |
A cortico-cerebello-thalamo-cortical loop model under essential tremor (Zhang & Santaniello 2019) |
| 3 |
A detailed Purkinje cell model (Masoli et al 2015) |
| 4 |
A kinetic model unifying presynaptic short-term facilitation and depression (Lee et al. 2009) |
| 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 |
Axonal gap junctions produce fast oscillations in cerebellar Purkinje cells (Traub et al. 2008) |
| 10 |
Ca2+ requirements for Long-Term Depression in Purkinje Cells (Criseida Zamora et al 2018) |
| 11 |
Calcium dynamics depend on dendritic diameters (Anwar et al. 2014) |
| 12 |
Cerebellar gain and timing control model (Yamazaki & Tanaka 2007)(Yamazaki & Nagao 2012) |
| 13 |
Cerebellar long-term depression (LTD) (Antunes and De Schutter 2012) |
| 14 |
Cerebellar memory consolidation model (Yamazaki et al. 2015) |
| 15 |
Cerebellar Model for the Optokinetic Response (Kim and Lim 2021) |
| 16 |
Cerebellar purkinje cell (De Schutter and Bower 1994) |
| 17 |
Cerebellar purkinje cell: interacting Kv3 and Na currents influence firing (Akemann, Knopfel 2006) |
| 18 |
Cerebellar purkinje cell: K and Ca channels regulate APs (Miyasho et al 2001) |
| 19 |
Cerebellar Purkinje Cell: resurgent Na current and high frequency firing (Khaliq et al 2003) |
| 20 |
Cerebellum Purkinje cell: dendritic ion channels activated by climbing fibre (Ait Ouares et al 2019) |
| 21 |
Computational model of cerebellar tDCS (Zhang et al., 2021) |
| 22 |
Concentration dependent nonlinear K+ and Cl- leak current (Huang et al. 2015) |
| 23 |
Controlling KCa channels with different Ca2+ buffering models in Purkinje cell (Anwar et al. 2012) |
| 24 |
Dendritic signals command firing dynamics in a Cerebellar Purkinje Cell model (Genet et al. 2010) |
| 25 |
Dendritica (Vetter et al 2001) |
| 26 |
Effect of voltage sensitive fluorescent proteins on neuronal excitability (Akemann et al. 2009) |
| 27 |
Inverse stochastic resonance of cerebellar Purkinje cell (Buchin et al. 2016) |
| 28 |
Logarithmic distributions prove that intrinsic learning is Hebbian (Scheler 2017) |
| 29 |
Model of cerebellar parallel fiber-Purkinje cell LTD and LTP (Gallimore et al 2018) |
| 30 |
Molecular layer interneurons in cerebellum encode valence in associative learning (Ma et al 2020) |
| 31 |
Multiplexed coding in Purkinje neuron dendrites (Zang and De Schutter 2021) |
| 32 |
Parallel STEPS: Large scale stochastic spatial reaction-diffusion simulat. (Chen & De Schutter 2017) |
| 33 |
Phase response curves firing rate dependency of rat purkinje neurons in vitro (Couto et al 2015) |
| 34 |
Purkinje cell: Synaptic activation predicts voltage control of burst-pause (Masoli & D'Angelo 2017) |
| 35 |
Purkinje neuron network (Zang et al. 2020) |
| 36 |
Reconstructed neuron (cerebellar, hippocampal, striatal) sims using predicted diameters (Reed et al) |
| 37 |
Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation (Luque et al 2019) |
| 38 |
Spike timing detection in different forms of LTD (Doi et al 2005) |
| 39 |
Stability of complex spike timing-dependent plasticity in cerebellar learning (Roberts 2007) |
| 40 |
Stochastic calcium mechanisms cause dendritic calcium spike variability (Anwar et al. 2013) |
