Modeling somatic and dendritic spike mediated plasticity at the single neuron and network level
Modelling plasticity in dendrites: from single cells to networks
From homeostasis to behavior: Balanced activity in an exploration of embodied dynamic environmental-neural interaction.
Sequential neuromodulation of Hebbian plasticity offers mechanism for effective reward-based navigation.
Deprivation-Induced Homeostatic Spine Scaling In Vivo Is Localized to Dendritic Branches that Have Undergone Recent Spine Loss
Sparse synaptic connectivity is required for decorrelation and pattern separation in feedforward networks
Detection of axonal synapses in 3D two-photon images
Overcoming catastrophic forgetting in neural networks.
Kirkpatrick J, Pascanu R, Rabinowitz N, Veness J, Desjardins G, Rusu AA, Milan K, Quan J, Ramalho T, Grabska-Barwinska A, Hassabis D, Clopath C, Kumaran D, and Hadsell R
Proceedings of the National Academy of Sciences, 2017
Variance and Invariance of Neuronal Long-term Representations.
The Role of Neuromodulators in Cortical Plasticity. A Computational Perspective.
Modeled changes of cerebellar activity in mutant mice are predictive of their learning impairments.
Emergent spatial synaptic structure from diffusive plasticity
Local inhibitory plasticity tunes macroscopic brain dynamics and allows the emergence of functional brain networks.
Emergence of Functional Specificity in Balanced Networks with Synaptic Plasticity.
Processing of Feature Selectivity in Cortical Networks with Specific Connectivity.
Oscillations emerging from noise-driven steady state in networks with electrical synapses and subthreshold resonance.
Long Term Plasticity, Biophysical Models.
The emergence of functional microcircuits in visual cortex.
Optimal properties of analog perceptrons with excitatory weights.
Storage of correlated patterns in standard and bistable Purkinje cell models.
Inhibitory Plasticity Balances Excitation and Inhibition in Sensory Pathways and Memory Networks.
A triplet spike-timing-dependent plasticity model generalizes the Bienenstock-Cooper-Munro rule to higher-order spatiotemporal correlations.
Synaptic consolidation: an approach to long-term learning.
Voltage and Spike Timing interact in STDP - a Unified Model.
Connectivity reflects coding: A model of voltage-based spike-timing-dependent-plasticity with homeostasis.
Tag-Trigger-Consolidation: A model of early and late long-term potentation and depression.
An online Hebbian learning rule that performs Independent Component Analysis.
Firing Patterns in the Adaptive Exponential Integrate-and-Fire.
Predicting Neuronal Activity with Simple Models of the Threshold Type: Adaptive Exponential Integrate-and-Fire Model with Two Compartments.