Computational simulation can generate testable hypotheses about auditory physiology
Evidence
Due to the complexity of the auditory system, computational processing of digitized signals has proven to be the best method to model the functionality of the system. Moreover, computational simulations can be used to design experiments addressing a specific part of the auditory system, which can potentially result in new hypotheses about the physiological functionality. — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 1563
Categorization
Category: Causal Relationships
- SEED: Article angle: how in-silico simulation of sensory systems feeds back into experiment design and hypothesis generation — a pipeline story about computational biology.
Related
- Computational simulation is the best method to model the auditory system’s function (similarity 0.92)
- Real-time auditory models enable speech recognition, sound reproduction, and hearing aids (similarity 0.86)
- Computational auditory models serve knowledge, audio-quality measurement, and diagnostics (similarity 0.86)
- Computational modelling is erasing the boundary between theory and experiment (similarity 0.85)
- Neuron-by-neuron modelling of audition is computationally infeasible now (similarity 0.83)
- Auditory models can isolate single hearing-loss components that interact in real patients (similarity 0.83)
- Higher-level hearing models rely on assumptions tested only against psychoacoustic data (similarity 0.83)
- The auditory periphery can be simulated as filtering, inner-hair-cell rectification, and adaptation loops (similarity 0.81)
- Computer simulation can now reproduce everyday impact sounds convincingly (similarity 0.81)
- Functional and physiological modeling approaches divide along intended use. (similarity 0.80)
- A filterbank model can simulate hearing impairment in normal-hearing listeners (similarity 0.80)
- Auditory models link acoustic stimulus features to perceived attributes computationally. (similarity 0.80)
- Perceptual models substitute for costly, variable human cochlear implant trials (similarity 0.80)
- Digital audio growth made understanding human audition essential (similarity 0.80)
- Acoustics, perception, and signal processing underpin sound-technology R&D (similarity 0.80)
Broader Connections
- Model-based impairment simulation isolates specific cochlear processing components
#exemplifies(0.88) — Dijk, Pim van, Physiology, Psychoacoustics and…, 4088 - The auditory periphery can be simulated as filtering, inner-hair-cell rectification, and adaptation loops
#expands(0.82) — Dijk, Pim van, Physiology, Psychoacoustics and…, 3478 - Simulation refractory periods do not capture real auditory phase-locking constraints
#qualifies(0.78) — Dijk, Pim van, Physiology, Psychoacoustics and…, 4661 - Hearing-modeling spectrograms use an ERB frequency axis from modeled auditory filters.
#expands(0.75) — David M. Howard, Jamie Angus, Acoustics and Psychoacoustics, 1501 - An auditory spectrum maps cochlear excitation level against ERB-scaled frequency
#expands(0.75) — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 1574 - Computational sound quality models are trained on subjective listening data
#exemplifies(0.75) — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 2332