Nicol Harper

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David McAlpineMacquarie UniversityVerified email at mq.edu.au
Jan SchnuppCity University of Hong KongVerified email at schnupp.net
Ben WillmoreOxford UniversityVerified email at dpag.ox.ac.uk
Vani RajendranUniversity of OxfordVerified email at univ.ox.ac.uk
Dr. Oliver SchoppeTechnical University of MunichVerified email at Oliver-Schoppe.de
Monzilur RahmanUniversity of OxfordVerified email at keble.ox.ac.uk
Jascha Sohl-DicksteinGoogle BrainVerified email at google.com
Michael R DeWeeseAssociate Professor of Physics and Neuroscience, University of California at BerkeleyVerified email at berkeley.edu
Santani TengSmith-Kettlewell Eye Research InstituteVerified email at ski.org
Christopher C Rodgers, PhDAssistant Professor of Neurosurgery and (by courtesy) Biology, Emory UniversityVerified email at emory.edu
Brian H. ScottCenter for Scientific Review, NIHVerified email at mail.nih.gov
Dr. James CookeUniversity College LondonVerified email at ucl.ac.uk
benjamin gaubpostdoctoral fellow, ETH ZürichVerified email at bsse.ethz.ch
Prof Z F CuiDonald Pollock Professor of Chemical Engineering, University of OxfordVerified email at eng.ox.ac.uk
Nicholas A LesicaUniversity College LondonVerified email at ucl.ac.uk
Daniel PressnitzerCNRS & Ecole normale supérieureVerified email at ens.fr
William M. HartmannProfessor of Physics, Michigan State UniversityVerified email at pa.msu.edu
Joshua D. Reissqueen mary university of londonVerified email at qmul.ac.uk
Andrew J.R. Simpson, PhDResearch Fellow, CVSSP, University of SurreyVerified email at surrey.ac.uk
Jorg LuckeProfessor of Machine Learning, University of Oldenburg, Germany.Verified email at uni-oldenburg.de

Nicol Harper

University of Oxford

Verified email at dpag.ox.ac.uk

neuroscience machine learning hearing vision


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Neural population coding of sound level adapts to stimulus statistics I Dean, NS Harper, D McAlpine Nature neuroscience 8 (12), 1684-1689, 2005	542	2005
Optimal neural population coding of an auditory spatial cue NS Harper, D McAlpine Nature 430 (7000), 682-686, 2004	312	2004
Rapid neural adaptation to sound level statistics I Dean, BL Robinson, NS Harper, D McAlpine Journal of Neuroscience 28 (25), 6430-6438, 2008	208	2008
Meta-adaptation in the auditory midbrain under cortical influence BL Robinson, NS Harper, D McAlpine Nature communications 7 (1), 13442, 2016	98	2016
Measuring the performance of neural models O Schoppe, NS Harper, BDB Willmore, AJ King, JWH Schnupp Frontiers in computational neuroscience 10, 10, 2016	63	2016
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	58	2014
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	52	2018
A device for human ultrasonic echolocation J Sohl-Dickstein, S Teng, B Gaub, C Rodgers, C Li, M DeWeese, ... IEEE: TBME, 2015	52	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	47	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	39	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	34	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	31	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	28	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	24	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	21	2020
Rhythm facilitates the detection of repeating sound patterns VG Rajendran, NS Harper, KHA Abdel-Latif, JWH Schnupp Frontiers in neuroscience 10, 9, 2016	20	2016
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	18	2014
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	15	2019
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	11	2019
Temporal constraints on visual learning: a computational model JV Stone, N Harper Perception 28 (9), 1089-1104, 1999	11	1999

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