N. Harper

发表

Neural population coding of sound level adapts to stimulus statistics

I. Dean, N. Harper, D. McAlpine, 2005, Nature Neuroscience.

The Neural Code for Auditory Space Depends on Sound Frequency and Head Size in an Optimal Manner

Brian H Scott, N. Harper, D. McAlpine, 2014, PloS one.

Incorporating Midbrain Adaptation to Mean Sound Level Improves Models of Auditory Cortical Processing

B. Willmore, A. J. King, N. Harper, 2016, The Journal of Neuroscience.

Meta-adaptation in the auditory midbrain under cortical influence

N. Harper, D. McAlpine, B. Robinson, 2016, Nature Communications.

Selective Adaptation to “Oddball” Sounds by the Human Auditory System

Andrew J. R. Simpson, N. Harper, D. McAlpine, 2014, The Journal of Neuroscience.

Adaptive coding is constrained to midline locations in a spatial listening task.

D. Pressnitzer, N. Harper, D. McAlpine, 2012, Journal of neurophysiology.

Inferior Colliculus Neurons Time-Varying Interaural Phase Cues in a Model of Adaptation and Inhibition Underlie Responses to

Zachary M. Smith, Brian H Scott, B. Delgutte, 2015 .

Rapid Neural Adaptation to Sound Level Statistics

I. Dean, N. Harper, D. McAlpine, 2008, The Journal of Neuroscience.

Auditory cortical representation of music favours the perceived beat

Jan W. H. Schnupp, N. Harper, J. Schnupp, 2020, Royal Society Open Science.

Beat-Relevant Signals in Auditory Cortical Responses to Musical Excerpts

N. Harper, J. Schnupp, V. Rajendran, 2018, bioRxiv.

Midbrain adaptation may set the stage for the perception of musical beat

N. Lesica, N. Harper, J. A. Garcia-Lazaro, 2017, Proceedings of the Royal Society B: Biological Sciences.

Temporal predictability as a grouping cue in the perception of auditory streams.

B. Willmore, W. Hartmann, N. Harper, 2013, The Journal of the Acoustical Society of America.

Adaptive coding for auditory spatial cues

M. Sahani, N. Harper, D. McAlpine, 2010 .

Accelerating spiking neural network training

A. King, N. Harper, Luke Taylor, 2022, ArXiv.

Cortical adaptation to sound 1 reverberation 2

B. Willmore, A. J. King, N. Harper, 2022 .

Natural sound characteristics explain perceptual categorization

N. Harper, L. de Hoz, Chi Chen, 2021, bioRxiv.

Exploring the distribution of statistical feature parameters for natural sound textures

Nicol S. Harper, Ambika P. Mishra, Jan W.H. Schnupp, 2020, bioRxiv.

Hierarchical temporal prediction captures motion processing from retina to higher visual cortex

Andrew J. King, Nicol S. Harper, Ben D. B. Willmore, 2019, bioRxiv.

STRFs in primary auditory cortex emerge from masking-based statistics of natural sounds

Richard E. Turner, Zhenwen Dai, Jörg Lücke, 2019, PLoS Comput. Biol..

Sensory cortex is optimized for prediction of future input

Andrew J King, Yosef Singer, Yayoi Teramoto, 2017, bioRxiv.

Optimal neural population coding of an auditory spatial cue

David McAlpine, Nicol S. Harper, N. Harper, 2004, Nature.

A Device for Human Ultrasonic Echolocation

Santani Teng, Chris C. Rodgers, Nicol S. Harper, 2015, IEEE Transactions on Biomedical Engineering.

Network Receptive Field Modeling Reveals Extensive Integration and Multi-feature Selectivity in Auditory Cortical Neurons

Andrew J. King, Ben D. B. Willmore, Jan W. H. Schnupp, 2016, PLoS Comput. Biol..

Measuring the Performance of Neural Models

Andrew J. King, Ben D. B. Willmore, Jan W. H. Schnupp, 2016, Front. Comput. Neurosci..

Temporal predictability enhances auditory detection.

Nicol S Harper, Jan W H Schnupp, Emma L A Lawrance, 2014, The Journal of the Acoustical Society of America.

Temporal Constraints on Visual Learning: A Computational Model

James V. Stone, N. Harper, N. Harper, 1999, Perception.

Simple transformations capture auditory input to cortex

Andrew J King, Monzilur Rahman, Nicol S Harper, 2020, Proceedings of the National Academy of Sciences.

A dynamic network model of temporal receptive fields in primary auditory cortex

Andrew J King, Monzilur Rahman, Nicol S Harper, 2019, PLoS Comput. Biol..

Cortical adaptation to sound reverberation

Kerry M. M. Walker, B. Willmore, N. Harper, 2021, bioRxiv.

Sensory cortex is optimized for prediction of future input

N. Harper, J. Schnupp, Y. Singer, 2017, bioRxiv.

A dynamic network model can explain temporal receptive fields in primary auditory cortex

Ben D. B. Willmore, Andrew J. King, Nicol S. Harper, 2018, bioRxiv.

Exponentially-decaying temporal integration in a network model can explain much of the neural sensitivity to stimulus history in primary auditory cortex.

Andrew J. King, Nicol S. Harper, Monzilur Rahman, 2018 .

Incorporating Midbrain Adaptation to Mean Sound Level Improves Models of Auditory Cortical Processing

B. Willmore, N. Harper, J. Schnupp, 2016, The Journal of Neuroscience.

Sensitivity of neural responses in the inferior colliculus to statistical features of sound textures

N. Harper, J. Schnupp, Fei Peng, 2021, Hearing Research.

Simple spectral transformations capture the contribution of peripheral processing to cortical responses to natural sounds

Ben D. B. Willmore, Andrew J. King, Nicol S. Harper, 2019, bioRxiv.

Robust and accelerated single-spike spiking neural network training with applicability to challenging temporal tasks

N. Harper, Luke Taylor, Andrew King, 2022, 2205.15286.

Omission responses in local field potentials in rat auditory cortex

N. Harper, R. Auksztulewicz, Fei Peng, 2023, BMC Biology.

Dissociable roles of the auditory midbrain and cortex in processing the statistical features of natural sound textures

N. Harper, R. Auksztulewicz, J. Schnupp, 2023, bioRxiv.

Hierarchical temporal prediction captures motion processing along the visual pathway

B. Willmore, N. Harper, Y. Singer, 2023, eLife.

Predictive coding networks for temporal prediction

R. Bogacz, Beren Millidge, N. Harper, 2024, bioRxiv.

Omission responses in field potentials but not spikes in rat auditory cortex

N. Harper, R. Auksztulewicz, J. Schnupp, 2022, bioRxiv.

Rhythm Facilitates the Detection of Repeating Sound Patterns

Jan W. H. Schnupp, Nicol S. Harper, Vani G. Rajendran, 2016, Front. Neurosci..

Temporal prediction captures retinal spiking responses across animal species

Friedemann Zenke, N. Harper, Luke Taylor, 2024, bioRxiv.

Adaptive coding is constrained to midline locations in a spatial listening task.

D. Pressnitzer, N. Harper, D. McAlpine, 2012, Journal of neurophysiology.

Temporal prediction captures key differences between spiking excitatory and inhibitory V1 neurons

Friedemann Zenke, N. Harper, Luke Taylor, 2024, bioRxiv.

Cochlear tuning characteristics arise from temporal prediction of natural sounds

B. Willmore, N. Harper, Andrew J King, 2023, bioRxiv.