Model of the Xenopus tadpole swimming spinal network (Roberts et al. 2014)

This is a NEURON-python and MATLAB simulation code for generating anatomical or probabilistic connectivity and simulating the neuronal dynamics of the neuronal network controlling swimming in Xenopus tadpoles. For more details about this model, see Ferrario et al, 2018, eLife and Roberts et al, 2014, J of Neurosci

Model Type: Axon

Cell Type(s): Hodgkin-Huxley neuron

Currents: I_Ks; I Potassium; I Calcium

Receptors: AMPA; Gaba; NMDA

Transmitters: Gaba; Glutamate

Model Concept(s): Activity Patterns; Connectivity matrix; Oscillations

Simulation Environment: MATLAB; NEURON

Implementer(s): Ferrario, Andrea [andrea.ferrario at plymouth.ac.uk]; Borisyuk, Roman [rborisyuk at plymouth.ac.uk]; Merrison-Hort, Robert

References:

Ferrario A, Merrison-Hort R, Soffe SR, Borisyuk R. (2018). Structural and functional properties of a probabilistic model of neuronal connectivity in a simple locomotor network. eLife. 7 [PubMed]

Roberts A et al. (2014). Can simple rules control development of a pioneer vertebrate neuronal network generating behavior? The Journal of neuroscience : the official journal of the Society for Neuroscience. 34 [PubMed]

Borisyuk R, Al Azad AK, Conte D, Roberts A, Soffe SR. (2014). A developmental approach to predicting neuronal connectivity from small biological datasets: a gradient-based neuron growth model. PloS one. 9 [PubMed]