Models that contain the Modeling Application : MOOSE/PyMOOSE (Home Page)

(" ... We report the integration of Python scripting with the Multi-scale Object Oriented Simulation Environment (MOOSE). MOOSE is a general-purpose simulation system for compartmental neuronal models and for models of signaling pathways based on chemical kinetics. We show how the Python-scripting version of MOOSE, PyMOOSE, combines the power of a compiled simulator with the versatility and ease of use of Python. ...")
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    Models
1.  Discrimination on behavioral time-scales mediated by reaction-diffusion in dendrites (Bhalla 2017)
2.  Information trans. through Entopeduncular nucleus modified by synaptic plasticity (Gorodetsky et al)
3.  Olfactory bulb microcircuits model with dual-layer inhibition (Gilra & Bhalla 2015)
4.  Parameter optimization using CMA-ES (Jedrzejewski-Szmek et al 2018)
5.  Reconstructed neuron (cerebellar, hippocampal, striatal) sims using predicted diameters (Reed et al)
6.  Striatum D1 Striosome and Matrix Upstates (Prager et al., 2020)

Re-display model names with descriptions