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Publications

Hierarchical temporal prediction captures motion processing along the visual pathway.

Singer Y. et al, (2023), Elife, 12

Cortical adaptation to sound reverberation.

Ivanov AZ. et al, (2022), Elife, 11

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

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

RAHMAN M. et al, (2019)

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

Singer Y. et al, (2019)

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)

Sensory cortex is optimized for prediction of future input.

Singer Y. et al, (2018), Elife, 7

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

Measuring the Performance of Neural Models.

Schoppe O. et al, (2016), Front Comput Neurosci, 10

Rhythm Facilitates the Detection of Repeating Sound Patterns.

Rajendran VG. et al, (2016), Front Neurosci, 10

A Device for Human Ultrasonic Echolocation.

Sohl-Dickstein J. et al, (2015), IEEE Trans Biomed Eng, 62, 1526 - 1534

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