At the end of the 20th century, analog systems in computer science have been widely
replaced by digital systems due to their higher computing power. Nevertheless, the question …

Computer models based on the detailed biology of the brain can help us understand the
myriad complexities of human cognition and intelligence. Here, we review models of the …

To learn how cognition is implemented in the brain, we must build computational models
that can perform cognitive tasks, and test such models with brain and behavioral …

The term “neuromorphic” was originally introduced by Mead in the late 1980s, 1 referring to
devices and systems that imitated certain elements of biological neural systems. However …

Automated image computing reshapes computational neuroscience | BMC Bioinformatics Skip
to main content SpringerLink Account Menu Find a journal Publish with us Track your research …

The revolution in neuroscientific data acquisition is creating an analysis challenge. We
propose leveraging cloud-computing technologies to enable large-scale neurodata storing …

Progress in understanding cognition requires a quantitative, theoretical framework,
grounded in the other natural sciences and able to bridge between implementational …

Nowadays neural computation has become an interdisciplinary field in its own right;
researches have been conducted ranging from diverse disciplines, eg computational …

The standard nature of computing is currently being challenged by a range of problems that
start to hinder technological progress. One of the strategies being proposed to address …

The human brain is made up of 85 billion neurons, which are connected by over 100 trillion
synapses. For more than a century, a diverse array of researchers searched for a language …