As the research on artificial intelligence booms, there is broad interest in brain‐inspired
computing using novel neuromorphic devices. The potential of various emerging materials …

Humanoid robots, intelligent machines resembling the human body in shape and functions,
cannot only replace humans to complete services and dangerous tasks but also deepen the …

Neuromorphic technologies typically employ a point neuron model, neglecting the
spatiotemporal nature of neuronal computation. Dendritic morphology and synaptic …

Advances in optical manipulation and observation of neural activity have set the stage for
widespread implementation of closed-loop and activity-guided optical control of neural …

Calcium imaging is emerging as a popular technique in neuroscience. A major reason is
that intracellular calcium transients are reflections of electrical events in neurons. For …

The physiological structure of the brain and the morphology of its neurons result from
selective pressure, the nervous system must be energy efficient. In this paper, a two …

Neuro‐inspired computing using emerging memristors plays an increasingly significant role
for the realization of artificial intelligence and thus has attracted widespread interest in the …

Abstract See Friese (doi: 10.1093/brain/awv349) for a scientific commentary on this article.
Grey matter pathology has emerged as an important contributor to long-term disability in …

The dendrites of neocortical pyramidal neurons are excitable. However, it is unknown how
synaptic inputs engage nonlinear dendritic mechanisms during sensory processing in vivo …

Nonlinear dendritic integration is thought to increase the computational ability of neurons.
Most studies focus on how supralinear summation of excitatory synaptic responses arising …