Genuinely new discovery transcends existing knowledge. Despite this, many analyses in
systems neuroscience neglect to test new speculative hypotheses against benchmark …

The visual system extracts meaning from retinal inputs and computes representations rich
enough to guide actions, inform world models, and allow verbal communication. Classic …

Brains have evolved diverse neurons with varying morphologies and dynamics that impact
temporal information processing. In contrast, most neural network models use …

Multiple benchmarks have been developed to assess the alignment between deep neural
networks (DNNs) and human vision. In almost all cases these benchmarks are observational …

Evolution has yielded a diverse set of neurons with varying morphologies and physiological
properties that impact their processing of temporal information. In addition, it is known …

Deep neural networks have recently become remarkable computational tools for thinking
about human visual learning. Recent studies have explored the effects of altering naturalistic …

In the last ten years, there has been an increase in using artificial neural networks (ANNs) to
model brain mechanisms, giving rise to a deep learning revolution in neuroscience. This …