Learning is traditionally studied in biological or computational systems. The power of
learning frameworks in solving hard inverse problems provides an appealing case for the …

Technological advances in imaging techniques and biometric data acquisition have enabled
us to apply methods of network science to study the morphology and structural design of …

Cells remember their identities, in part, by using epigenetic marks—chemical modifications
placed along the genome. How can mark patterns remain stable over cell generations …

The name active matter refers to any collection of entities that individually use free energy to
generate their own motion and forces. Through interactions, active particles spontaneously …

Navigational mechanisms have been characterized as servomechanisms. A navigational
servomechanism specifies a goal state to strive for. Discrepancies between the perceived …

Written by one of the world's leading authorities on the public use of museums, The Value of
Museums: Enhancing Societal Well-Being provides a timely and compelling way for …

Abstract Sensing, communication, navigation, decision-making, memory and learning are
key components in a standard cognitive tool-kit that enhance an animal's ability to …

Understanding and controlling transport through complex media is central for a plethora of
processes ranging from technical to biological applications. Yet, the effect of micro-scale …

Branching morphogenesis is a ubiquitous process that gives rise to high exchange surfaces
in the vasculature and epithelial organs. Lymphatic capillaries form branched networks …

Droplets are attractive building blocks for dynamic matter that organizes into adaptive
structures. Communication among collectively operating droplets opens untapped potential …