Neural processing faces three rather different, and perniciously tied, communication
problems. First, computation is radically distributed, yet point-to-point interconnections are …

Computational modeling of neural substrates provides an excellent theoretical framework for
the understanding of the computational roles of neuromodulation. In this review, we …

Neural algorithms and computing beyond Moore's law Page 1 110 COMMUNICATIONS
OF THE ACM | APRIL 2019 | VOL. 62 | NO. 4 review articles COLL A GE B Y ANDRIJ BOR YS …

A comprehensive, integrated, and accessible textbook presenting core neuroscientific topics
from a computational perspective, tracing a path from cells and circuits to behavior and …

Perspectives for understanding the brain vary across disciplines and this has challenged our
ability to describe the brain's functions. In this comment, we discuss how emerging …

Biological neural networks continue to inspire new developments in algorithms and
microelectronic hardware to solve challenging data processing and classification problems …

The brain is not a glorified digital computer. It does not store information in registers, and it
does not mathematically transform mental representations to establish perception or …

How does the brain work? After a century of research, we still lack a coherent view of how
neurons process signals and control our activities. But as the field of computational …

Neurobiological processing systems are remarkable computational devices. They use slow,
stochastic, and inhomogeneous computing elements and yet they outperform today's most …

The cranial nerves are the pathways through which environmental information (sensation) is
directly communicated to the brain, leading to perception, and giving rise to higher cognition …