| Characterizing the sparseness of neural codes B Willmore, DJ Tolhurst Network: Computation in Neural Systems 12 (3), 255, 2001 | 368 | 2001 |
| Contrast gain control in auditory cortex NC Rabinowitz, BDB Willmore, JWH Schnupp, AJ King Neuron 70 (6), 1178-1191, 2011 | 230 | 2011 |
| The receptive-field organization of simple cells in primary visual cortex of ferrets under natural scene stimulation D Smyth, B Willmore, GE Baker, ID Thompson, DJ Tolhurst Journal of Neuroscience 23 (11), 4746-4759, 2003 | 159 | 2003 |
| Constructing noise-invariant representations of sound in the auditory pathway NC Rabinowitz, BDB Willmore, AJ King, JWH Schnupp PLoS biology 11 (11), e1001710, 2013 | 127 | 2013 |
| Neural representation of natural images in visual area V2 BDB Willmore, RJ Prenger, JL Gallant Journal of Neuroscience 30 (6), 2102-2114, 2010 | 126 | 2010 |
| Independent components of color natural scenes resemble V1 neurons in their spatial and color tuning MS Caywood, B Willmore, DJ Tolhurst Journal of Neurophysiology 91 (6), 2859-2873, 2004 | 103 | 2004 |
| Sparse coding in striate and extrastriate visual cortex BDB Willmore, JA Mazer, JL Gallant Journal of neurophysiology 105 (6), 2907-2919, 2011 | 91 | 2011 |
| Spectrotemporal contrast kernels for neurons in primary auditory cortex NC Rabinowitz, BDB Willmore, JWH Schnupp, AJ King Journal of Neuroscience 32 (33), 11271-11284, 2012 | 68 | 2012 |
| Measuring the performance of neural models O Schoppe, NS Harper, BDB Willmore, AJ King, JWH Schnupp Frontiers in computational neuroscience 10, 10, 2016 | 54 | 2016 |
| Methods for first-order kernel estimation: simple-cell receptive fields from responses to natural scenes B Willmore, D Smyth Network: Computation in neural systems 14 (3), 553-577, 2003 | 46 | 2003 |
| 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 | 42 | 2016 |
| Hearing in noisy environments: noise invariance and contrast gain control BDB Willmore, JE Cooke, AJ King The Journal of physiology 592 (16), 3371-3381, 2014 | 42 | 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 | 41 | 2018 |
| The berkeley wavelet transform: a biologically inspired orthogonal wavelet transform B Willmore, RJ Prenger, MCK Wu, JL Gallant Neural computation 20 (6), 1537-1564, 2008 | 41 | 2008 |
| A comparison of natural-image-based models of simple-cell coding B Willmore, PA Watters, DJ Tolhurst Perception 29 (9), 1017-1040, 2000 | 39 | 2000 |
| Recent advances in understanding the auditory cortex AJ King, S Teki, BDB Willmore F1000Research 7, 2018 | 37 | 2018 |
| CMOS Monolithic Active Pixel Sensors (MAPS): New ‘eyes’ for science R Turchetta, PP Allport, G Casse, A Clark, J Crooks, A Evans, A Fant, ... Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2006 | 36 | 2006 |
| 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 | 34 | 2016 |
| Neural circuits underlying auditory contrast gain control and their perceptual implications M Lohse, VM Bajo, AJ King, BDB Willmore Nature communications 11 (1), 1-13, 2020 | 25 | 2020 |
| 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 | 21 | 2013 |
Jan SchnuppCity University of Hong KongBestätigte E-Mail-Adresse bei schnupp.net
