Ben D. B. Willmore

Corticofugal gated recurrency captures auditory cortical responses

This paper introduces a computational model of auditory cortical responses using gated recurrency, showing improved prediction over existing methods and revealing memory differences between primary and secondary auditory cortex.

Auditory midbrain encodes training-induced plasticity in soundlocalization behavior

This study shows that training-induced plasticity in the auditory midbrain, specifically the inferior colliculus, supports sound localization behavior in ferrets with altered spatial cues.

Subcortical origin of nonlinear sound encoding in auditory cortex

The paper shows that nonlinear sound encoding in auditory cortex arises from subcortical transformations, not cortical inputs, and reveals how subcortical processing shapes cortical responses.

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

The paper shows that hierarchical temporal prediction explains changes in neuronal tuning for motion from retina to higher visual cortex.

Cochlear tuning characteristics arise from temporal prediction of natural sounds

The paper shows that cochlear tuning properties resemble those of an artificial neural network optimized for temporal prediction of natural sounds.

Cortical adaptation to sound reverberation

This study shows how auditory cortical neurons adapt to sound reverberation by adjusting their filtering properties to dereverberate sounds.

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

The paper shows that simple spectral models of the auditory periphery can predict cortical responses to natural sounds as well as complex biophysical models.

Auditory contrast gain control predicts perceptual performance and is not dependent on cortical activity

The paper shows auditory contrast gain control occurs in subcortical and cortical auditory systems and predicts perceptual adaptation in humans.

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

The paper introduces a dynamic network model to explain temporal receptive fields in auditory cortex neurons, showing it can match performance of models with longer time delays.

The DeepTune framework for modeling and characterizing neurons in visual cortex area V4

The paper introduces DeepTune, a framework to interpret neural network models of V4 neurons, revealing diverse shape/texture tuning and suppressive responses in primate visual cortex.

Sensory cortex is optimised for prediction of future input

This study shows that sensory cortex neurons are tuned to features that best predict future inputs, as demonstrated by neural networks trained to predict video/audio frames.