In recent decades, artificial intelligence has been successively employed in the fields of
finance, commerce, and other industries. However, imitating high-level brain functions, such …

For a biological agent operating under environmental pressure, energy consumption and
reaction times are of critical importance. Similarly, engineered systems are optimized for …

With the development of technology, Moore's law will come to an end, and scientists are
trying to find a new way out in brain-like computing. But we still know very little about how …

This chapter presents the concepts behind the BrainScales (BSS) accelerated analog
neuromorphic computing architecture. It describes the second-generation BrainScales-2 …

Continuous adaptation allows survival in an ever-changing world. Adjustments in the
synaptic coupling strength between neurons are essential for this capability, setting us apart …

For a biological agent operating under environmental pressure, energy consumption and
reaction times are of critical importance. Similarly, engineered systems also strive for short …

Sequence learning, prediction and replay have been proposed to constitute the universal
computations performed by the neocortex. The Hierarchical Temporal Memory (HTM) …

As deep learning systems are scaled up to many billions of parameters, relating their
internal structure to external behaviors becomes very challenging. Although daunting, this …

Cortical neurons exhibit highly variable responses over trials and time. Theoretical works
posit that this variability arises potentially from chaotic network dynamics of recurrently …

This book addresses fundamental questions about our understanding of the quantum world.
It explains the mysteries of quantum mechanics by a novel approach to physics based on …