During learning, the brain modifies synapses to improve behaviour. In the cortex, synapses
are embedded within multilayered networks, making it difficult to determine the effect of an …

The design of robots that interact autonomously with the environment and exhibit complex
behaviours is an open challenge that can benefit from understanding what makes living …

A striking difference between brain-inspired neuromorphic processors and current von
Neumann processor architectures is the way in which memory and processing is organized …

Neuromorphic visual sensory and memory systems, which can perceive, process, and
memorize optical information, represent core technology for artificial intelligence and …

The ability of the brain to store and process information relies on changing the strength of
connections between neurons. Synaptic facilitation is a form of short-term plasticity that …

Depressive short‐term synaptic plasticity functions are implemented with a simple polymer
poly (3, 4ethylenedioxythiophene): poly (styrene sulfonate)(PEDOT: PSS) organic …

Over the past 20 years, neuroimaging has become a predominant technique in systems
neuroscience. One might envisage that over the next 20 years the neuroimaging of …

There is increasing evidence that the brain relies on a set of canonical neural computations,
repeating them across brain regions and modalities to apply similar operations to different …

To evaluate the veracity of models of the mere exposure effect and to understand the
processes that moderate the effect, we conducted a meta-analysis of the influence of …

A free-energy principle has been proposed recently that accounts for action, perception and
learning. This Review looks at some key brain theories in the biological (for example, neural …