Analysis of temperature-dependent abnormal bursting patterns of neurons in .

Temperature affects the firing pattern and electrical activity of neurons in animals, eliciting diverse responses depending on neuronal cell type. However, the mechanisms underlying such diverse responses are not well understood. In the present study, we performed in vitro recording of abdominal ganglia cells of , and analyzed their burst firing patterns.

Temperature-dependent bursting pattern analysis by modified Plant model.

Many electrophysiological properties of neuron including firing rates and rhythmical oscillation change in response to a temperature variation, but the mechanism underlying these correlations remains unverified. In this study, we analyzed various action potential (AP) parameters of bursting pacemaker neurons in the abdominal ganglion of Aplysia juliana to examine whether or not bursting patterns are altered in response to temperature change. Here we found that the inter-burst interval, burst duration, and number of spike during burst decreased as temperature increased.

A Computational Model of the Temperature-dependent Changes in Firing Patterns in Aplysia Neurons.

We performed experiments using Aplysia neurons to identify the mechanism underlying the changes in the firing patterns in response to temperature changes. When the temperature was gradually increased from 11℃ to 31℃ the firing patterns changed sequentially from the silent state to beating, doublets, beating-chaos, bursting-chaos, square-wave bursting, and bursting-oscillation patterns. When the temperature was decreased over the same temperature range, these sequential changes in the firing patterns reappeared in reverse order.

Temperature dependence of action potential parameters in Aplysia neurons.

Although the effects of temperature changes on the activity of neurons have been studied in Aplysia, the reproducibility of the temperature dependence of the action potential (AP) parameters has not been verified. To this end, we performed experiments using Aplysia neurons. Fourteen AP parameters were analyzed using the long-term data series recorded during the experiments.