Spiny Projection Neuron Ca2+ based plasticity is robust to in vivo spike train (Dorman&Blackwell)

"...we address the sensitivity of plasticity to trial-to-trial variability and delineate how spatiotemporal synaptic input patterns produce plasticity with in vivo-like conditions using a data-driven computational model with a calcium-based plasticity rule. Using in vivo spike train recordings as inputs, we show that plasticity is strongly robust to trial-to-trial variability of spike timing, and derive general synaptic plasticity rules describing how spatiotemporal patterns of synaptic inputs control the magnitude and direction of plasticity..."

Model Type: Synapse; Channel/Receptor; Dendrite; Neuron or other electrically excitable cell

Cell Type(s): Neostriatum medium spiny direct pathway GABA cell

Currents: I ANO2; I L high threshold; I Na,t; Kir; I N; I R; IK Bkca; I Krp; I T low threshold; I A; I A, slow

Receptors: Glutamate; GabaA

Model Concept(s): Detailed Neuronal Models; Calcium dynamics; Synaptic Plasticity; Learning

Simulation Environment: MOOSE/PyMOOSE; Python

Implementer(s): Dorman, Daniel B


Dorman DB, Blackwell KT. (in press). Synaptic plasticity is predicted by spatiotemporal firing rate patterns and robust to in vivo-like variability .

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