Benjamin Willmore, Ph.D.
Affiliations: | University of Oxford, Oxford, United Kingdom |
Area:
auditory systemGoogle:
"Benjamin Willmore"Mean distance: 13.72 | S | N | B | C | P |
Parents
Sign in to add mentorDavid J. Tolhurst | grad student | 1999-2002 | Cambridge |
Andrew J. King | post-doc | 2006- | Oxford |
Jack L. Gallant | post-doc | 2003-2006 | UC Berkeley |
Children
Sign in to add traineeMonzilur Rahman | grad student | 2015- | Oxford |
Aleksandar Ivanov | grad student | 2016- | Oxford |
Collaborators
Sign in to add collaboratorMatthew S. Caywood | collaborator | Cambridge | |
Darragh M. Smyth | collaborator | ||
Ian D. Thompson | collaborator | ||
A Peter Willmore | collaborator |
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Publications
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Ivanov AZ, King AJ, Willmore BDB, et al. (2022) Cortical adaptation to sound reverberation. Elife. 11 |
Rahman M, Willmore BDB, King AJ, et al. (2020) Simple transformations capture auditory input to cortex. Proceedings of the National Academy of Sciences of the United States of America |
Cooke JE, Kahn M, Mann EO, et al. (2020) Contrast gain control occurs independently of both parvalbumin-positive interneuron activity and shunting inhibition in auditory cortex. Journal of Neurophysiology |
Lohse M, Bajo VM, King AJ, et al. (2020) Neural circuits underlying auditory contrast gain control and their perceptual implications. Nature Communications. 11: 324 |
Rahman M, Willmore BDB, King AJ, et al. (2019) A dynamic network model of temporal receptive fields in primary auditory cortex. Plos Computational Biology. 15: e1006618 |
King AJ, Teki S, Willmore BDB. (2018) Recent advances in understanding the auditory cortex. F1000research. 7 |
Cooke JE, King AJ, Willmore BDB, et al. (2018) Contrast gain control in mouse auditory cortex. Journal of Neurophysiology |
Singer Y, Teramoto Y, Willmore BD, et al. (2018) Sensory cortex is optimised for prediction of future input. Elife. 7 |
Harper NS, Schoppe O, Willmore BD, et al. (2016) Network Receptive Field Modeling Reveals Extensive Integration and Multi-feature Selectivity in Auditory Cortical Neurons. Plos Computational Biology. 12: e1005113 |
Schoppe O, Harper NS, Willmore BD, et al. (2016) Measuring the Performance of Neural Models. Frontiers in Computational Neuroscience. 10: 10 |