Results 51 to 60 of about 1,940,244 (237)

A Circuit for Detection of Interaural Time Differences in the Brain Stem of the Barn Owl [PDF]

open access: yes, 1990
Detection of interaural time differences underlies azimuthal sound localization in the barn owl Tyto alba. Axons of the cochlear nucleus magnocellularis, and their targets in the binaural nucleus laminaris, form the circuit responsible for encoding these
Carr, C. E., Konishi, M.
core   +1 more source

Microsecond Interaural Time Difference Discrimination Restored by Cochlear Implants After Neonatal Deafness

open access: yesbioRxiv, 2018
Cochlear implants (CIs) can restore a high degree of functional hearing in deaf patients but enable only poor spatial hearing or hearing in noise. Early deaf CI users are essentially completely insensitive to interaural time differences (ITDs).
N. Rosskothen-Kuhl   +3 more
semanticscholar   +1 more source

Time and intensity cues are processed independently in the auditory system of the owl [PDF]

open access: yes, 1984
Space-specific neurons, found in the barn owl's inferior colliculus, respond selectively to a narrow range of interaural time and intensity differences. We show that injecting a local anesthetic into one cochlear nucleus, nucleus magnocellularis, alters ...
Konishi, M., Moiseff, A., Takahashi, T.
core   +1 more source

A Comparison of Two Objective Measures of Binaural Processing

open access: yesTrends in Hearing, 2015
There has been continued interest in clinical objective measures of binaural processing. One commonly proposed measure is the binaural interaction component (BIC), which is obtained typically by recording auditory brainstem responses (ABRs)—the BIC ...
Nicholas R. Haywood   +3 more
doaj   +1 more source

Acoustic Space Learning for Sound Source Separation and Localization on Binaural Manifolds [PDF]

open access: yes, 2014
In this paper we address the problems of modeling the acoustic space generated by a full-spectrum sound source and of using the learned model for the localization and separation of multiple sources that simultaneously emit sparse-spectrum sounds.
Deleforge, Antoine   +2 more
core   +3 more sources

Spiking Neurons Learning Phase Delays [PDF]

open access: yes, 2005
Time differences between the two ears are an important cue for animals to azimuthally locate a sound source. The first binaural brainstem nucleus, in mammals the medial superior olive, is generally believed to perform the necessary computations.
B. Grothe   +11 more
core   +1 more source

Multitask Learning of Time-Frequency CNN for Sound Source Localization

open access: yesIEEE Access, 2019
Sound source localization (SSL) is an important technique for many audio processing systems, such as speech enhancement/recognition and human-robot interaction.
Cheng Pang, Hong Liu, Xiaofei Li
doaj   +1 more source

Neuromorphic Learning towards Nano Second Precision [PDF]

open access: yes, 2013
Temporal coding is one approach to representing information in spiking neural networks. An example of its application is the location of sounds by barn owls that requires especially precise temporal coding. Dependent upon the azimuthal angle, the arrival
Meier, Karlheinz   +3 more
core   +1 more source

Interactions of Interaural Time and Level Differences in Spatial Hearing with Cochlear Implants. [PDF]

open access: yesAdv Sci (Weinh)
Differences in timing (ΔT) are weighted heavily compared to differences in loudness (ΔL) in binaural hearing with cochlear implants. Abstract Normally hearing humans can localize sound sources quite accurately, with minimum audible angles as small as 1°. To achieve this, these auditory pathways combine information from multiple acoustic cues, including
Buchholz S   +3 more
europepmc   +2 more sources

Cross-Correlation in the Auditory Coincidence Detectors of Owls [PDF]

open access: yes, 2008
Interaural time difference (ITD) plays a central role in many auditory functions, most importantly in sound localization. The classic model for how ITD is computed was put forth by Jeffress (1948). One of the predictions of the Jeffress model is that the
Christianson, G. Björn   +2 more
core   +1 more source

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