1. Biophysics-inspired spike rate adaptation for computationally efficient phenomenological nerve modeling.
- Author
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de Nobel, Jacob, Martens, Savine S.M., Briaire, Jeroen J., Bäck, Thomas H.W., Kononova, Anna V., and Frijns, Johan H.M.
- Subjects
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ACOUSTIC nerve , *COCHLEAR implants , *ELECTRIC stimulation , *NERVES , *NERVE fibers - Abstract
This study introduces and evaluates the PHAST+ model, part of a computational framework designed to simulate the behavior of auditory nerve fibers in response to the electrical stimulation from a cochlear implant. PHAST+ incorporates a highly efficient method for calculating accommodation and adaptation, making it particularly suited for simulations over extended stimulus durations. The proposed method uses a leaky integrator inspired by classic biophysical nerve models. Through evaluation against single-fiber animal data, our findings demonstrate the model's effectiveness across various stimuli, including short pulse trains with variable amplitudes and rates. Notably, the PHAST+ model performs better than its predecessor, PHAST (a phenomenological model by van Gendt et al.), particularly in simulations of prolonged neural responses. While PHAST+ is optimized primarily on spike rate decay, it shows good behavior on several other neural measures, such as vector strength and degree of adaptation. The future implications of this research are promising. PHAST+ drastically reduces the computational burden to allow the real-time simulation of neural behavior over extended periods, opening the door to future simulations of psychophysical experiments and multi-electrode stimuli for evaluating novel speech-coding strategies for cochlear implants. • A highly efficient new auditory nerve fiber model is presented that can replicate spike rate decay of various animal experiments accurately. • This new model allows for quick simulations of long pulse trains and multi-electrode pulse trains, for fibers of the entire cochlea. • Although not optimized for measures of synchronization and adaptation, the model still performs sufficiently on other metrics included in the animal studies. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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