| 1 |
A simple model of neuromodulatory state-dependent synaptic plasticity (Pedrosa and Clopath, 2016) |
| 2 |
A single-cell spiking model for the origin of grid-cell patterns (D'Albis & Kempter 2017) |
| 3 |
A synapse model for developing somatosensory cortex (Manninen et al 2020) |
| 4 |
Acetylcholine-modulated plasticity in reward-driven navigation (Zannone et al 2018) |
| 5 |
Adaptive robotic control driven by a versatile spiking cerebellar network (Casellato et al. 2014) |
| 6 |
An allosteric kinetics of NMDARs in STDP (Urakubo et al. 2008) |
| 7 |
Biophysical and phenomenological models of spike-timing dependent plasticity (Badoual et al. 2006) |
| 8 |
CA1 pyr cell: phenomenological NMDAR-based model of synaptic plasticity (Dainauskas et al 2023) |
| 9 |
CA1 pyramidal neuron: synaptic plasticity during theta cycles (Saudargiene et al. 2015) |
| 10 |
Calcium influx during striatal upstates (Evans et al. 2013) |
| 11 |
Calcium response prediction in the striatal spines depending on input timing (Nakano et al. 2013) |
| 12 |
Cancelling redundant input in ELL pyramidal cells (Bol et al. 2011) |
| 13 |
Computing with neural synchrony (Brette 2012) |
| 14 |
Cortical model with reinforcement learning drives realistic virtual arm (Dura-Bernal et al 2015) |
| 15 |
Cortico-striatal plasticity in medium spiny neurons (Gurney et al 2015) |
| 16 |
Diffusive homeostasis in a spiking network model (Sweeney et al. 2015) |
| 17 |
Effects of increasing CREB on storage and recall processes in a CA1 network (Bianchi et al. 2014) |
| 18 |
Efficient simulation environment for modeling large-scale cortical processing (Richert et al. 2011) |
| 19 |
Encoding and retrieval in a model of the hippocampal CA1 microcircuit (Cutsuridis et al. 2009) |
| 20 |
Endocannabinoid dynamics gate spike-timing dependent depression and potentiation (Cui et al 2016) |
| 21 |
Fast convergence of cerebellar learning (Luque et al. 2015) |
| 22 |
Feedforward network undergoing Up-state-mediated plasticity (Gonzalez-Rueda et al. 2018) |
| 23 |
First-Spike-Based Visual Categorization Using Reward-Modulated STDP (Mozafari et al. 2018) |
| 24 |
FNS spiking neural simulator; LIFL neuron model, event-driven simulation (Susi et al 2021) |
| 25 |
Formation of synfire chains (Jun and Jin 2007) |
| 26 |
Hebbian STDP for modelling the emergence of disparity selectivity (Chauhan et al 2018) |
| 27 |
Heterosynaptic Spike-Timing-Dependent Plasticity (Hiratani & Fukai 2017) |
| 28 |
Inhibitory plasticity balances excitation and inhibition (Vogels et al. 2011) |
| 29 |
Learning spatial transformations through STDP (Davison, Frégnac 2006) |
| 30 |
Linking STDP and Dopamine action to solve the distal reward problem (Izhikevich 2007) |
| 31 |
Memory savings through unified pre- and postsynaptic STDP (Costa et al 2015) |
| 32 |
Microsaccades and synchrony coding in the retina (Masquelier et al. 2016) |
| 33 |
Mirror Neuron (Antunes et al 2017) |
| 34 |
Modeling dendritic spikes and plasticity (Bono and Clopath 2017) |
| 35 |
Modeling dentate granule cells heterosynaptic plasticity using STDP-BCM rule (Jedlicka et al. 2015) |
| 36 |
Motor system model with reinforcement learning drives virtual arm (Dura-Bernal et al 2017) |
| 37 |
NMDA subunit effects on Calcium and STDP (Evans et al. 2012) |
| 38 |
Online learning model of olfactory bulb external plexiform layer network (Imam & Cleland 2020) |
| 39 |
Opposing roles for Na+/Ca2+ exchange and Ca2+-activated K+ currents during STDP (O`Halloran 2020) |
| 40 |
Optimal spatiotemporal spike pattern detection by STDP (Masquelier 2017) |
