Luke Taylor

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

This paper demonstrates that biologically realistic spiking neural networks exhibit seizure-like activity when inhibitory connections are weakened, mimicking photosensitive epilepsy mechanisms.

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.

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