Top-down feedback in cortex is critical for guiding sensory processing, which has
prominently been formalized in the theory of hierarchical predictive coding (hPC). However …

Biological computing (or biocomputing) offers potential advantages over silicon-based
computing in terms of faster decision-making, continuous learning during tasks, and greater …

Building on current explorations in chronic optical neural interfaces, it is essential to address
the risk of photothermal damage in traditional optogenetics. By focusing on calcium …

Neuromodulators in the brain act globally at many forms of synaptic plasticity, represented
as metaplasticity, which is rarely considered by existing spiking (SNNs) and nonspiking …

Complex cognitive abilities are thought to arise from the ability of the brain to adaptively
reconfigure its internal network structure as a function of task demands. Recent work has …

The prefrontal cortex is included in a neuronal system that includes the basal ganglia, the
thalamus, and the cerebellum. Most of the higher and more complex motor, cognitive, and …

Neural interfaces, emerging at the intersection of neurotechnology and urban planning,
promise to transform how we interact with our surroundings and communicate. By recording …

Biological neural networks adapt and learn in diverse behavioral contexts. Artificial neural
networks (ANNs) have exploited biological properties to solve complex problems. However …

The function of the neocortex is fundamentally determined by its repeating microcircuit motif,
but also by its rich, hierarchical, interregional structure with a highly specific laminar …

Although it may appear infeasible and impractical, building artificial intelligence (AI) using a
bottom-up approach based on the understanding of neuroscience is straightforward. The …