ArticleJournal of computational neuroscience2017
Optimal nonlinear cue integration for sound localization.
Article in Journal of computational neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 15 citations in OpenAlex.
- Neural Responses Underlying Interaural Time Difference Discrimination as a Function of Sensory Reliability in the Barn Owl.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Single trial Bayesian inference by population vector readout in the barn owl's sound localization system.PloS one · 2024Article
- Development of frequency tuning shaped by spatial cue reliability in the barn owl's auditory midbrain.eLife · 2023Article
- How the known reference weakens the visual oblique effect: a Bayesian account of cognitive improvement by cue influence.Scientific reports · 2020Article
- Article
- Sound localization in barn owls studied with manipulated head-related transfer functions: beyond broadband interaural time and level differences.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2020Article
- Synthesis of Hemispheric ITD Tuning from the Readout of a Neural Map: Commonalities of Proposed Coding Schemes in Birds and Mammals.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019Article
- Article
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Authors and funding
2 authors at 2 institutions in 1 country.
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Abstract
Integration of multiple sensory cues can improve performance in detection and estimation tasks. There is an open theoretical question of the conditions under which linear or nonlinear cue combination is Bayes-optimal. We demonstrate that a neural population decoded by a population vector requires nonlinear cue combination to approximate Bayesian inference. Specifically, if cues are conditionally independent, multiplicative cue combination is optimal for the population vector. The model was tested on neural and behavioral responses in the barn owl's sound localization system where space-specific neurons owe their selectivity to multiplicative tuning to sound localization cues interaural phase (IPD) and level (ILD) differences. We found that IPD and ILD cues are approximately conditionally independent. As a result, the multiplicative combination selectivity to IPD and ILD of midbrain space-specific neurons permits a population vector to perform Bayesian cue combination. We further show that this model describes the owl's localization behavior in azimuth and elevation. This work provides theoretical justification and experimental evidence supporting the optimality of nonlinear cue combination.
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