Andrew J. King

This paper introduces a model where neurons adjust synaptic strengths to minimize somato-dendritic mismatch, enabling network learning and reproducing experimental observations of plasticity.

This study develops a spiking retinal model trained to predict future visual stimuli, showing it captures retinal responses and processes across species.

This study shows that sleep after noise overexposure in mice increases tinnitus development, as measured by changes in GPIAS, while hearing loss remains unaffected.

This paper develops a hierarchical recurrent temporal prediction model to explain neuronal response properties in the visual cortex by incorporating local and inter-areal feedback connectivity.

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.

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.

This study shows that auditory training alters how ferrets' auditory cortex processes complex sounds, reducing timbre sensitivity across fields but increasing spatial sensitivity and formant frequency integration.

This study shows that a recurrent neural network optimized for predicting sensory inputs explains the functional and anatomical connectivity patterns in primary visual cortex.

The paper shows that midbrain structures encode sound detection behavior without requiring auditory cortex input, indicating subcortical structures can process non-acoustic information.

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.

The paper develops a spiking neural network to predict natural movies, revealing key differences between excitatory and inhibitory V1 neurons that aid in sensory prediction.

This study examines how sleep state affects cortical evoked activity in ferrets with tinnitus, finding a link between tinnitus and sleep disruption, with neural markers of tinnitus reduced during sleep.

This study investigates how motor adaptation to environmental changes is influenced by visual cues, finding that perturbations in throw direction lead to internal model updating while accelerations allow flexible adaptation.

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

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

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

The paper shows that local variability in tonotopic maps is not unique to rodents and is influenced by neuron frequency tuning complexity across species.

The paper shows that subcortical circuits mediate crossmodal communication between primary sensory cortical areas in mice by linking somatosensory cortex to auditory cortex via the midbrain and thalamus.

This study shows that visual contextual information can reweight auditory localization cues, but improvements in sound localization only occur with fully congruent audiovisual training.

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

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 paper develops data-driven models to decode mouse behavior and link single-trial decisions to neural activity.

The paper investigates species-specific differences in pitch perception by comparing ferrets and humans, finding that cochlear filter bandwidths influence the salience of temporal envelope and harmonic cues.

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.