Neuron-by-neuron modelling of audition is computationally infeasible now
Evidence
A good example of a highly non-linear and time-variant system is human hearing. As a result, modelling of the auditory system is a complex task, and only some of its peripheral parts may be modelled in the LTI sense. — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 359 (
#qualifies, via linked claim)
Categorization
Category: Factual Claims
Related
- Human hearing resists linear time-invariant modeling except at the periphery (similarity 0.88)
- Bottom-up neuron-by-neuron auditory modelling is computationally and knowledge-wise infeasible. (similarity 0.87)
- Computational simulation is the best method to model the auditory system’s function (similarity 0.87)
- Digital audio growth made understanding human audition essential (similarity 0.85)
- Cubic difference tones in hearing defy regular nonlinear transfer models (similarity 0.84)
- A complete mathematical model of the entire auditory system will never exist (similarity 0.84)
- A holistic mathematical theory of the full auditory system is unattainable (similarity 0.84)
- Computational simulation can generate testable hypotheses about auditory physiology (similarity 0.83)
- Higher-level hearing models rely on assumptions tested only against psychoacoustic data (similarity 0.83)
- Computational modelling is erasing the boundary between theory and experiment (similarity 0.82)
- Computational auditory modelling began only in the 1960s (similarity 0.82)
- The auditory periphery is non-linear and cannot be captured by one transfer function. (similarity 0.82)
- Human hearing is highly nonlinear and cannot be LTI-modelled beyond peripheral parts (similarity 0.81)
- Real-time auditory models enable speech recognition, sound reproduction, and hearing aids (similarity 0.80)
- Auditory modelling accuracy trades off sharply against computational cost (similarity 0.80)
Broader Connections
- Computational simulation can generate testable hypotheses about auditory physiology
#qualifies(0.75) - Human hearing is highly nonlinear and cannot be LTI-modelled beyond peripheral parts
#qualifies(0.72) — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 359