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Mechanisms of sound localization in mammals

Physiological reviews, 2010-07, Vol.90 (3), p.983-1012

2010

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A survey on deep learning-based non-invasive brain signals: recent advances and new frontiers

Journal of neural engineering, 2021-06, Vol.18 (3), p.31002

2021

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Listening loops and the adapting auditory brain

Frontiers in neuroscience, 2023-03, Vol.17, p.1081295-1081295

2023

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Corrigendum: Listening loops and the adapting auditory brain

Frontiers in neuroscience, 2023-06, Vol.17, p.1228450-1228450

2023

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Meta-adaptation in the auditory midbrain under cortical influence

Nature communications, 2016-11, Vol.7 (1), p.13442-13442, Article 13442

2016

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Noises on-How the Brain Deals with Acoustic Noise

Biology (Basel, Switzerland), 2024-07, Vol.13 (7), p.501

2024

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LMIC-PRIEST: Derivation and validation of a clinical severity score for acutely ill adults with suspected COVID-19 in a middle-income setting

PloS one, 2023-06, Vol.18 (6), p.e0287091

2023

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Neural population coding of sound level adapts to stimulus statistics

Nature neuroscience, 2005-12, Vol.8 (12), p.1684-1689

2005

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Hidden hearing loss selectively impairs neural adaptation to loud sound environments

Nature communications, 2018-10, Vol.9 (1), p.4298-11, Article 4298

2018

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Creating a sense of auditory space

The Journal of physiology, 2005-07, Vol.566 (1), p.21-28

McAlpine, David

2005

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Tinnitus with a normal audiogram: physiological evidence for hidden hearing loss and computational model

The Journal of neuroscience, 2011-09, Vol.31 (38), p.13452-13457

2011

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Gain control mechanisms in the auditory pathway

Current opinion in neurobiology, 2009-08, Vol.19 (4), p.402-407

2009

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The hunt for hidden hearing loss in humans: From preclinical studies to effective interventions

Frontiers in neuroscience, 2022-09, Vol.16, p.1000304

2022

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Emphasis of spatial cues in the temporal fine structure during the rising segments of amplitude-modulated sounds

Proceedings of the National Academy of Sciences - PNAS, 2013-09, Vol.110 (37), p.15151-15156

2013

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Sensitivity to Interaural Time Differences Conveyed in the Stimulus Envelope: Estimating Inputs of Binaural Neurons Through the Temporal Analysis of Spike Trains

Journal of the Association for Research in Otolaryngology, 2016-08, Vol.17 (4), p.313-330

2016

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Optimal neural population coding of an auditory spatial cue

Nature, 2004-08, Vol.430 (7000), p.682-686

2004

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Sound localization and delay lines – do mammals fit the model?

Trends in neurosciences (Regular ed.), 2003-07, Vol.26 (7), p.347-350

2003

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Challenges Developing Deep Learning Algorithms in Cytology

Acta cytologica, 2021-08, Vol.65 (4), p.301-309

2021

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Analysis methods for measuring passive auditory fNIRS responses generated by a block-design paradigm

Neurophotonics (Print), 2021-04, Vol.8 (2), p.025008-025008

2021

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Subthreshold resonance properties contribute to the efficient coding of auditory spatial cues

Proceedings of the National Academy of Sciences - PNAS, 2014-06, Vol.111 (22), p.E2339-E2348

2014

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Precise inhibition is essential for microsecond interaural time difference coding

Nature (London), 2002-05, Vol.417 (6888), p.543-547

2002

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Increased spontaneous firing rates in auditory midbrain following noise exposure are specifically abolished by a Kv3 channel modulator

Hearing research, 2018-08, Vol.365, p.77-89

2018

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Hearing: Representing the Aural Wallpaper

Current biology, 2018-05, Vol.28 (10), p.R610-R612

McAlpine, David

2018

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The neural code for auditory space depends on sound frequency and head size in an optimal manner

PloS one, 2014-11, Vol.9 (11), p.e108154-e108154

2014

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Advancing Binaural Cochlear Implant Technology

Trends in hearing, 2015-12, Vol.19

2015

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Mechanisms of sound localization in mammals

A survey on deep learning-based non-invasive brain signals: recent advances and new frontiers

Listening loops and the adapting auditory brain

Corrigendum: Listening loops and the adapting auditory brain

Meta-adaptation in the auditory midbrain under cortical influence

Noises on-How the Brain Deals with Acoustic Noise

LMIC-PRIEST: Derivation and validation of a clinical severity score for acutely ill adults with suspected COVID-19 in a middle-income setting

Neural population coding of sound level adapts to stimulus statistics

Hidden hearing loss selectively impairs neural adaptation to loud sound environments

Creating a sense of auditory space

Tinnitus with a normal audiogram: physiological evidence for hidden hearing loss and computational model

Gain control mechanisms in the auditory pathway

The hunt for hidden hearing loss in humans: From preclinical studies to effective interventions

Emphasis of spatial cues in the temporal fine structure during the rising segments of amplitude-modulated sounds

Sensitivity to Interaural Time Differences Conveyed in the Stimulus Envelope: Estimating Inputs of Binaural Neurons Through the Temporal Analysis of Spike Trains

Optimal neural population coding of an auditory spatial cue

Sound localization and delay lines – do mammals fit the model?

Challenges Developing Deep Learning Algorithms in Cytology

Analysis methods for measuring passive auditory fNIRS responses generated by a block-design paradigm

Subthreshold resonance properties contribute to the efficient coding of auditory spatial cues

Precise inhibition is essential for microsecond interaural time difference coding

Increased spontaneous firing rates in auditory midbrain following noise exposure are specifically abolished by a Kv3 channel modulator

Hearing: Representing the Aural Wallpaper

The neural code for auditory space depends on sound frequency and head size in an optimal manner

Advancing Binaural Cochlear Implant Technology

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