Why are some images easier to remember than others? Here, we review recent developments in our understanding of ‘image memorability’, including its behavioral characteristics, its neural correlates, and the optimization principles from which it originates. We highlight work that has used large behavioral data sets to leverage memorability scores computed for individual images. These studies […]

Abstract Neural network models of memory are notorious for catastrophic interference: Old items are forgotten as new items are memorized (French, 1999; McCloskey & Cohen, 1989). While working memory (WM) in human adults shows severe capacity limitations, these capacity limitations do not reflect neural network style catastrophic interference. However, our ability to quickly apprehend the […]

Investigating the dynamics and function of large-scale spiking neuronal networks with realistic numbers of synapses is made possible today by state-of-the-art simulation code that scales to the largest contemporary supercomputers. However, simulations that involve electrical interactions, also called gap junctions, besides chemical synapses scale only poorly due to a communication scheme that collects global data […]