ModelDB: Models that contain Simulink

Simulation Environment: Simulink

A kinetic model unifying presynaptic short-term facilitation and depression (Lee et al. 2009)
A model of beta-adrenergic modulation of IKs in the guinea-pig ventricle (Severi et al. 2009)
A Neural mass computational model of the Thalamocorticothalamic circuitry (Bhattacharya et al. 2011)
Basal ganglia motor function and the inverse kinematics calculation (Salimi-Badr et al 2017)
Basal Ganglia motor-circuit for kinematic planning of arm movements (Salimi-Badr et al 2017)
Basal ganglia-thalamocortical loop model of action selection (Humphries and Gurney 2002)
Distributed cerebellar plasticity implements adaptable gain control (Garrido et al., 2013)
Fast convergence of cerebellar learning (Luque et al. 2015)
Generic Bi-directional Real-time Neural Interface (Zrenner et al. 2010)
Modelling enteric neuron populations and muscle fed-state motor patterns (Chambers et al. 2011)
Population-level model of the basal ganglia and action selection (Gurney et al 2001, 2004)
Thalamocortical model of spike and wave seizures (Suffczynski et al. 2004)
Vesicular pool simulations of synaptic depression (Aristizabal and Glavinovic 2004)

http://www.mathworks.com
Simulink is a platform for multidomain simulation and Model-Based Design for dynamic systems. It provides an interactive graphical environment and a customizable set of block libraries, and can be extended for specialized applications.

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Top neurons studied with Simulink:

Hippocampus CA1 pyramidal GLU cell (1)
Cerebellum Purkinje GABA cell (1)
Auditory nerve (1)
Cardiac ventricular cell (1)
Cerebellum deep nucleus neuron (1)
Neocortex dissociated cultured nerve cell (1)

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