| 1 |
A 1000 cell network model for Lateral Amygdala (Kim et al. 2013) |
| 2 |
A basal ganglia model of aberrant learning (Ursino et al. 2018) |
| 3 |
A Computational Model of Bidirectional Plasticity Regulation by betaCaMKII (Pinto et al. 2019) |
| 4 |
A fast model of voltage-dependent NMDA Receptors (Moradi et al. 2013) |
| 5 |
A model of cerebellar LTD including RKIP inactivation of Raf and MEK (Hepburn et al 2017) |
| 6 |
A synapse model for developing somatosensory cortex (Manninen et al 2020) |
| 7 |
Adaptive robotic control driven by a versatile spiking cerebellar network (Casellato et al. 2014) |
| 8 |
AMPA receptor trafficking and its role in heterosynaptic plasticity (Antunes et al 2018) |
| 9 |
Biochemically detailed model of LTP and LTD in a cortical spine (Maki-Marttunen et al 2020) |
| 10 |
Biologically-plausible models for spatial navigation (Cannon et al 2003) |
| 11 |
Biophysical and phenomenological models of spike-timing dependent plasticity (Badoual et al. 2006) |
| 12 |
Borderline Personality Disorder (Berdahl, 2010) |
| 13 |
CA1 pyramidal cell receptor dependent cAMP dynamics (Chay et al. 2016) |
| 14 |
CA1 pyramidal neuron: Dendritic Na+ spikes are required for LTP at distal synapses (Kim et al 2015) |
| 15 |
CA1 pyramidal neuron: synaptic plasticity during theta cycles (Saudargiene et al. 2015) |
| 16 |
Ca2+ requirements for Long-Term Depression in Purkinje Cells (Criseida Zamora et al 2018) |
| 17 |
CaMKII system exhibiting bistability with respect to calcium (Graupner and Brunel 2007) |
| 18 |
Cancelling redundant input in ELL pyramidal cells (Bol et al. 2011) |
| 19 |
Cerebellar memory consolidation model (Yamazaki et al. 2015) |
| 20 |
Development and Binocular Matching of Orientation Selectivity in Visual Cortex (Xu et al 2020) |
| 21 |
Distributed cerebellar plasticity implements adaptable gain control (Garrido et al., 2013) |
| 22 |
Distributed synaptic plasticity and spike timing (Garrido et al. 2013) |
| 23 |
Dynamics of ERK signaling pathways during L-LTP induction(Miningou et al 2021) |
| 24 |
Effect of the initial synaptic state on the probability to induce LTP and LTD (Migliore et al. 2015) |
| 25 |
Efficient simulation environment for modeling large-scale cortical processing (Richert et al. 2011) |
| 26 |
Electrostimulation to reduce synaptic scaling driven progression of Alzheimers (Rowan et al. 2014) |
| 27 |
Endocannabinoid dynamics gate spike-timing dependent depression and potentiation (Cui et al 2016) |
| 28 |
Four-pathway phenomenological synaptic plasticity model (Ebner et al. 2019) |
| 29 |
Functional balanced networks with synaptic plasticity (Sadeh et al, 2015) |
| 30 |
Hippocampus CA1: Simulations of LTP signaling pathways (Kim M et al. 2011) |
| 31 |
Hippocampus CA1: Temporal sensitivity of signaling pathways underlying LTP (Kim et al. 2010) |
| 32 |
Inhibitory microcircuits for top-down plasticity of sensory representations (Wilmes & Clopath 2019) |
| 33 |
Interactions among kinase cascades underlying LTP in Aplysia sensory neurons (Zhang et al 2021) |
| 34 |
Kinetic NMDA receptor model (Kampa et al 2004) |
| 35 |
Learning spatial transformations through STDP (Davison, Frégnac 2006) |
| 36 |
Linking STDP and Dopamine action to solve the distal reward problem (Izhikevich 2007) |
| 37 |
Locus Coeruleus blocking model (Chowdhury et al.) |
| 38 |
Long term potentiation, LTP, protein synthesis, proteasome (Smolen et al. 2018) |
| 39 |
LTP in cerebellar mossy fiber-granule cell synapses (Saftenku 2002) |
| 40 |
Model of cerebellar parallel fiber-Purkinje cell LTD and LTP (Gallimore et al 2018) |
