Many parameter sets in a multicompartment model oscillator are robust to temperature perturbations

Area of Science:

• Neuroscience
• Computational Biology
• Physiology

Background:

• Neurons must function across a wide temperature range, despite temperature-dependent changes in cellular processes.
• The kinetics of ion channels and Ca(2+) buffering are sensitive to temperature, potentially disrupting neuronal function.
• The bursting pacemaker kernel in crab stomatogastric ganglia exhibits temperature robustness.

Purpose of the Study:

• To investigate the mechanisms underlying temperature robustness in neuronal oscillators.
• To determine how neuronal function is maintained across varying temperatures in cold-blooded animals.
• To identify the key parameters contributing to temperature robustness in neural circuits.

Main Methods:

• Developed a detailed conductance-based model of neuronal oscillators.
• Utilized Q10 parameters to represent exponential temperature sensitivities of cellular processes.
• Assessed model robustness across 125,000 random Q10 parameter sets and six maximal conductance sets.

Main Results:

• Found numerous combinations of maximal conductance and Q10 parameters conferring temperature robustness.
• Observed limited correlations among Q10 parameters in successful parameter sets.
• No single Q10 parameter set achieved robustness across all tested maximal conductance variations.

Conclusions:

• Maximal conductance parameters play a critical role in achieving neuronal temperature robustness.
• Temperature robustness in neuronal oscillators arises from a complex interplay of parameters.
• Insights into the principles of temperature compensation in biological systems were gained.