As basic research, it has also received increasing attention from people that the “curse of
dimensionality” will lead to increase the cost of data storage and computing; it also …

To explain how the brain orchestrates information-processing for cognition, we must
understand information itself. Importantly, information is not a monolithic entity. Information …

Artificial communication with the brain through peripheral nerve stimulation shows promising
results in individuals with sensorimotor deficits. However, these efforts lack an intuitive and …

A central goal of neuroscience is to understand the representations formed by brain activity
patterns and their connection to behaviour. The classic approach is to investigate how …

Deep non-rapid eye movement sleep (NREM) and general anesthesia with propofol are
prominent states of reduced arousal linked to the occurrence of synchronized oscillations in …

Most sensory, cognitive and motor functions depend on the interactions of many neurons. In
recent years, there has been rapid development and increasing use of technologies for …

The cortex represents information across widely varying timescales,,,,. For instance, sensory
cortex encodes stimuli that fluctuate over few tens of milliseconds,, whereas in association …

Abstract Machine learning techniques are increasingly used in neuroscience to classify
brain signals. Decoding performance is reflected by how much the classification results …

Parsing a cognitive task into a sequence of operations is a central problem in cognitive
neuroscience. We argue that a major advance is now possible owing to the application of …

Spiking neural networks (SNNs) serve as a promising computational framework for
integrating insights from the brain into artificial intelligence (AI). Existing software …