Hierarchical temporal prediction captures motion processing along the visual pathway.
Singer Y. et al, (2023), Elife, 12
Addressing the speed-accuracy simulation trade-off for adaptive spiking neurons
Taylor L. et al, (2023), Advances in Neural Information Processing Systems, 36
Sensitivity of neural responses in the inferior colliculus to statistical features of sound textures.
Mishra AP. et al, (2021), Hear Res, 412
Exploring the distribution of statistical feature parameters for natural sound textures.
Mishra AP. et al, (2021), PLoS One, 16
Simple transformations capture auditory input to cortex.
Rahman M. et al, (2020), Proc Natl Acad Sci U S A, 117, 28442 - 28451
Auditory Cortical Representation of Music Favours the Perceived Beat
HARPER N. et al, (2020), Royal Society Open Science
A dynamic network model can explain temporal receptive fields in primary auditory cortex
Rahman M. et al, (2019), PLoS Computational Biology
A dynamic network model of temporal receptive fields in primary auditory cortex.
Rahman M. et al, (2019), PLoS Comput Biol, 15
STRFs in primary auditory cortex emerge from masking-based statistics of natural sounds.
Sheikh A-S. et al, (2019), PLoS Comput Biol, 15
Beat-Relevant Signals in Auditory Cortical Responses to Musical Excerpts
Rajendran VG. et al, (2018)
Midbrain adaptation may set the stage for the perception of musical beat.
Rajendran VG. et al, (2017), Proc Biol Sci, 284
Meta-adaptation in the auditory midbrain under cortical influence.
Robinson BL. et al, (2016), Nat Commun, 7
Network Receptive Field Modeling Reveals Extensive Integration and Multi-feature Selectivity in Auditory Cortical Neurons.
Harper NS. et al, (2016), PLoS Comput Biol, 12
Incorporating Midbrain Adaptation to Mean Sound Level Improves Models of Auditory Cortical Processing.
Willmore BDB. et al, (2016), J Neurosci, 36, 280 - 289
Rhythm Facilitates the Detection of Repeating Sound Patterns.
Rajendran VG. et al, (2016), Front Neurosci, 10