"Models of the auditory brainstem have been an invaluable tool for testing hypotheses about auditory information processing and for highlighting the most important gaps in the experimental literature. Due to the complexity of the auditory brainstem, and indeed most brain circuits, the dynamic behavior of the system may be difficult to predict without a detailed, biologically realistic computational model. Despite the sensitivity of models to their exact construction and parameters, most prior models of the cochlear nucleus have incorporated only a small subset of the known biological properties. This confounds the interpretation of modelling results and also limits the potential future uses of these models, which require a large effort to develop. To address these issues, we have developed a general purpose, bio-physically detailed model of the cochlear nucleus for use both in testing hypotheses about cochlear nucleus function and also as an input to models of downstream auditory nuclei. The model implements conductance-based Hodgkin-Huxley representations of cells using a Python-based interface to the NEURON simulator. ..."
Model Type: Neuron or other electrically excitable cell; Realistic Network
Region(s) or Organism(s): Brainstem; Auditory brainstem
Cell Type(s): Cochlear nucleus pyramidal/fusiform GLU cell; Cochlear nucleus octopus GLU cell; Cochlear nucleus bushy GLU cell
Currents: I Potassium; I Na,t; I K,Ca; I p,q; I h; KCNQ1; I K; Kir; I_Ks; I Sodium; I_KHT
Receptors: AMPA; NMDA; Glycine
Genes: Nav1.1 SCN1A
Model Concept(s): Action Potentials; Information transfer; Detailed Neuronal Models; Calcium dynamics
Simulation Environment: Python; NEURON
Implementer(s): Manis, Paul B [PManis at med.unc.edu]; Compagnola, Luke
References:
Manis PB, Campagnola L. (2018). A biophysical modelling platform of the cochlear nucleus and other auditory circuits: From channels to networks. Hearing research. 360 [PubMed]