| 1 |
A 1000 cell network model for Lateral Amygdala (Kim et al. 2013) |
| 2 |
A large-scale model of the functioning brain (spaun) (Eliasmith et al. 2012) |
| 3 |
A model of antennal lobe of bee (Chen JY et al. 2015) |
| 4 |
A Model of Selection between Stimulus and Place Strategy in a Hawkmoth (Balkenius et al. 2004) |
| 5 |
A neurocomputational model of classical conditioning phenomena (Moustafa et al. 2009) |
| 6 |
A simple model of neuromodulatory state-dependent synaptic plasticity (Pedrosa and Clopath, 2016) |
| 7 |
A single-cell spiking model for the origin of grid-cell patterns (D'Albis & Kempter 2017) |
| 8 |
Acetylcholine-modulated plasticity in reward-driven navigation (Zannone et al 2018) |
| 9 |
Adaptation of Short-Term Plasticity parameters (Esposito et al. 2015) |
| 10 |
Adaptive robotic control driven by a versatile spiking cerebellar network (Casellato et al. 2014) |
| 11 |
Alleviating catastrophic forgetting: context gating and synaptic stabilization (Masse et al 2018) |
| 12 |
Alternative time representation in dopamine models (Rivest et al. 2009) |
| 13 |
An electrophysiological model of GABAergic double bouquet cells (Chrysanthidis et al. 2019) |
| 14 |
Behavioral time scale synaptic plasticity underlies CA1 place fields (Bittner et al. 2017) |
| 15 |
CA1 pyramidal neurons: binding properties and the magical number 7 (Migliore et al. 2008) |
| 16 |
Cancelling redundant input in ELL pyramidal cells (Bol et al. 2011) |
| 17 |
Cerebellar gain and timing control model (Yamazaki & Tanaka 2007)(Yamazaki & Nagao 2012) |
| 18 |
Cerebellar Model for the Optokinetic Response (Kim and Lim 2021) |
| 19 |
Cognitive and motor cortico-basal ganglia interactions during decision making (Guthrie et al 2013) |
| 20 |
Combining modeling, deep learning for MEA neuron localization, classification (Buccino et al 2018) |
| 21 |
Computational endophenotypes in addiction (Fiore et al 2018) |
| 22 |
Conditions for synaptic specificity in maintenance phase of synaptic plasticity (Huertas et al, '22) |
| 23 |
Cortical model with reinforcement learning drives realistic virtual arm (Dura-Bernal et al 2015) |
| 24 |
Cortico - Basal Ganglia Loop (Mulcahy et al 2020) |
| 25 |
Cortico-striatal plasticity in medium spiny neurons (Gurney et al 2015) |
| 26 |
Democratic population decisions result in robust policy-gradient learning (Richmond et al. 2011) |
| 27 |
ELL Medium Ganglion Cell (Mormyrid fish) (Muller et al, accepted) |
| 28 |
Encoding and retrieval in a model of the hippocampal CA1 microcircuit (Cutsuridis et al. 2009) |
| 29 |
FRAT: An amygdala-centered model of fear conditioning (Krasne et al. 2011) |
| 30 |
Functional balanced networks with synaptic plasticity (Sadeh et al, 2015) |
| 31 |
Hebbian learning in a random network for PFC modeling (Lindsay, et al. 2017) |
| 32 |
Hierarchical anti-Hebbian network model for the formation of spatial cells in 3D (Soman et al 2019) |
| 33 |
Linking STDP and Dopamine action to solve the distal reward problem (Izhikevich 2007) |
| 34 |
Logarithmic distributions prove that intrinsic learning is Hebbian (Scheler 2017) |
| 35 |
Model of cerebellar parallel fiber-Purkinje cell LTD and LTP (Gallimore et al 2018) |
| 36 |
Modelling gain modulation in stability-optimised circuits (Stroud et al 2018) |
| 37 |
Motor system model with reinforcement learning drives virtual arm (Dura-Bernal et al 2017) |
| 38 |
Multimodal stimuli learning in hawkmoths (Balkenius et al. 2008) |
| 39 |
Neuronify: An Educational Simulator for Neural Circuits (Dragly et al 2017) |
| 40 |
Olfactory bulb mitral and granule cell column formation (Migliore et al. 2007) |
