Convolutional neural networks (CNNs) were inspired by early findings in the study of
biological vision. They have since become successful tools in computer vision and state-of …

Brains process information in spiking neural networks. Their intricate connections shape the
diverse functions these networks perform. Yet how network connectivity relates to function is …

Sub-additivity and variability are ubiquitous response motifs in the primary visual cortex (V1).
Response sub-additivity enables the construction of useful interpretations of the visual …

The goal of computational neuroscience is to find mechanistic explanations of how the
nervous system processes information to support cognitive function and behaviour. At the …

Many recent studies have employed task-based modeling with recurrent neural networks
(RNNs) to infer the computational function of different brain regions. These models are often …

Neuromorphic vision sensors have been extremely beneficial in developing energy-efficient
intelligent systems for robotics and privacy-preserving security applications. There is a dire …

One of the primary ways we interact with the world is using our hands. In macaques, the
circuit spanning the anterior intraparietal area, the hand area of the ventral premotor cortex …

Retinal ganglion cells (RGCs) were one of the first classes of sensory neurons to be
described in terms of a receptive field (RF). Over the last six decades, our understanding of …

Our knowledge of sensory processing has advanced dramatically in the last few decades,
but this understanding remains far from complete, especially for stimuli with the large …

The retina transforms patterns of light into visual feature representations supporting
behaviour. These representations are distributed across various types of retinal ganglion …