Synapses are essential for the transmission of neural signals. Synaptic plasticity allows for
changes in synaptic strength, enabling the brain to learn from experience. With the rapid …

Neurons have diverse molecular, morphological, connectional and functional properties. We
believe that the only realistic way to manage this complexity—and thereby pave the way for …

In-sensor and near-sensor computing are becoming the next-generation computing
paradigm for high-density and low-power sensory processing. To fulfil a high-density and …

The basic plan of the retina is conserved across vertebrates, yet species differ profoundly in
their visual needs. Retinal cell types may have evolved to accommodate these varied needs …

Signal communication mechanisms within the human body rely on the transmission and
modulation of action potentials. Replicating the interdependent functions of receptors …

Early processing of visual information takes place in the human retina. Mimicking
neurobiological structures and functionalities of the retina provides a promising pathway to …

As the most promising candidates for the implementation of in-sensor computing,
retinomorphic vision sensors can constitute built-in neural networks and directly implement …

The vertebrate retina first evolved some 500 million years ago in ancestral marine
chordates. Since then, the eyes of different species have been tuned to best support their …

Patterns of gene expression can be used to characterize and classify neuronal types. It is
challenging, however, to generate taxonomies that fulfill the essential criteria of being …

High-acuity vision in primates, including humans, is mediated by a small central retinal
region called the fovea. As more accessible organisms lack a fovea, its specialized function …