Minimal Hodgkin–Huxley type models for different classes of cortical and thalamic neurons

Abstract

We review here the development of Hodgkin-Huxley (HH) type models of cerebral cortex and thalamic neurons for network simulations. The intrinsic electrophysiological properties of cortical neurons were analyzed from several preparations, and we selected the four most prominent electrophysiological classes of neurons. These four classes are "fast spiking", "regular spiking", "intrinsically bursting" and "low-threshold spike" cells. For each class, we fit "minimal" HH type models to experimental data. The models contain the minimal set of voltage-dependent currents to account for the data. To obtain models as generic as possible, we used data from different preparations in vivo and in vitro, such as rat somatosensory cortex and thalamus, guinea-pig visual and frontal cortex, ferret visual cortex, cat visual cortex and cat association cortex. For two cell classes, we used automatic fitting procedures applied to several cells, which revealed substantial cell-to-cell variability within each class. The selection of such cellular models constitutes a necessary step towards building network simulations of the thalamocortical system with realistic cellular dynamical properties.

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“…We confirmed that the model behaves in the same way as the ionic-conductance model [11] in response to various magnitude of step input in each neuron classes.…”

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“…2(c), which is the core characteristics of RS. In this figure, it can be seen that the spike frequency converges to a higher value if the sustained stimulus is more intense, which is also a feature of RS [30]. The amount of displacement of the dynamical structure in the fast subsystem is increased and the system state converges to a limit cycle more distant from the bifurcation point.…”