Nicol Harper
Nicol Harper
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Cited by
Cited by
Neural population coding of sound level adapts to stimulus statistics
I Dean, NS Harper, D McAlpine
Nature neuroscience 8 (12), 1684-1689, 2005
Optimal neural population coding of an auditory spatial cue
NS Harper, D McAlpine
Nature 430 (7000), 682-686, 2004
Rapid neural adaptation to sound level statistics
I Dean, BL Robinson, NS Harper, D McAlpine
Journal of Neuroscience 28 (25), 6430-6438, 2008
Meta-adaptation in the auditory midbrain under cortical influence
BL Robinson, NS Harper, D McAlpine
Nature communications 7 (1), 13442, 2016
Measuring the performance of neural models
O Schoppe, NS Harper, BDB Willmore, AJ King, JWH Schnupp
Frontiers in computational neuroscience 10, 10, 2016
Sensory cortex is optimized for prediction of future input
Y Singer, Y Teramoto, BDB Willmore, JWH Schnupp, AJ King, NS Harper
elife 7, e31557, 2018
Temporal predictability enhances auditory detection
ELA Lawrance, NS Harper, JE Cooke, JWH Schnupp
The Journal of the Acoustical Society of America 135 (6), EL357-EL363, 2014
A device for human ultrasonic echolocation
J Sohl-Dickstein, S Teng, B Gaub, C Rodgers, C Li, M DeWeese, ...
IEEE: TBME, 2015
Network receptive field modeling reveals extensive integration and multi-feature selectivity in auditory cortical neurons
NS Harper, O Schoppe, BDB Willmore, Z Cui, JWH Schnupp, AJ King
PLoS computational biology 12 (11), e1005113, 2016
Incorporating midbrain adaptation to mean sound level improves models of auditory cortical processing
BDB Willmore, O Schoppe, AJ King, JWH Schnupp, NS Harper
Journal of Neuroscience 36 (2), 280-289, 2016
Midbrain adaptation may set the stage for the perception of musical beat
VG Rajendran, NS Harper, JA Garcia-Lazaro, NA Lesica, JWH Schnupp
Proceedings of the Royal Society B: Biological Sciences 284 (1866), 20171455, 2017
The neural code for auditory space depends on sound frequency and head size in an optimal manner
NS Harper, BH Scott, MN Semple, D McAlpine
PloS one 9 (11), e108154, 2014
Adaptive coding is constrained to midline locations in a spatial listening task
JK Maier, P Hehrmann, NS Harper, GM Klump, D Pressnitzer, D McAlpine
Journal of Neurophysiology 108 (7), 1856-1868, 2012
Temporal predictability as a grouping cue in the perception of auditory streams
VG Rajendran, NS Harper, BD Willmore, WM Hartmann, JWH Schnupp
The Journal of the Acoustical Society of America 134 (1), EL98-EL104, 2013
Simple transformations capture auditory input to cortex
M Rahman, BDB Willmore, AJ King, NS Harper
Proceedings of the National Academy of Sciences 117 (45), 28442-28451, 2020
Rhythm facilitates the detection of repeating sound patterns
VG Rajendran, NS Harper, KHA Abdel-Latif, JWH Schnupp
Frontiers in neuroscience 10, 9, 2016
A dynamic network model of temporal receptive fields in primary auditory cortex
M Rahman, BDB Willmore, AJ King, NS Harper
PLoS computational biology 15 (5), e1006618, 2019
Selective adaptation to “oddball” sounds by the human auditory system
AJR Simpson, NS Harper, JD Reiss, D McAlpine
Journal of Neuroscience 34 (5), 1963-1969, 2014
STRFs in primary auditory cortex emerge from masking-based statistics of natural sounds
AS Sheikh, NS Harper, J Drefs, Y Singer, Z Dai, RE Turner, J Lücke
PLoS computational biology 15 (1), e1006595, 2019
Auditory cortical representation of music favours the perceived beat
VG Rajendran, NS Harper, JWH Schnupp
Royal Society Open Science 7 (3), 191194, 2020
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