Criticality is the singular state of complex systems poised at the brink of a phase transition
between order and randomness. Such systems display remarkable information-processing …

Abstract Electrolyte-gated transistors (EGTs), capable of transducing biological and
biochemical inputs into amplified electronic signals and stably operating in aqueous …

Neuromorphic computing uses brain-inspired principles to design circuits that can perform
computational tasks with superior power efficiency to conventional computers. Approaches …

Neuromorphic computing takes inspiration from the brain to create energy-efficient hardware
for information processing, capable of highly sophisticated tasks. Systems built with standard …

Network dynamics have been proposed as a mechanistic substrate for the information
transfer across cortical and hippocampal circuits. However, little is known about the …

Electroencephalography (EEG) is a non-invasive technique used to record the brain's
evoked and induced electrical activity from the scalp. Artificial intelligence, particularly …

Organic electrochemical transistors (OECTs) make effective use of ion injection from an
electrolyte to modulate the bulk conductivity of an organic semiconductor channel. The …

A novel theoretical framework for an embodied, non-representational approach to language
that extends and deepens enactive theory, bridging the gap between sensorimotor skills and …

Implantable neural interfaces advance the possibilities for neuroscientists to study the brain.
They are also promising for use in a multitude of bioelectronic therapies. Electrode …

Predictive coding offers a potentially unifying account of cortical function--postulating that the
core function of the brain is to minimize prediction errors with respect to a generative model …