Increasing demand for bio-interfaced human-machine interfaces propels the development of
organic neuromorphic electronics with small form factors leveraging both ionic and …

In humans, midget and parasol ganglion cells account for most of the input from the eyes to
the brain. Yet, how they encode visual information is unknown. Here, we perform large-scale …

There is an increasing need to implement neuromorphic systems that are both energetically
and computationally efficient. There is also great interest in using electric elements with …

Neural circuits in the periphery of the visual, auditory, and olfactory systems are believed to
use limited resources efficiently to represent sensory information by adapting to the …

The visual message conveyed by a retinal ganglion cell (RGC) is often summarized by its
spatial receptive field, but in principle also depends on the responses of other RGCs and …

The efficient coding hypothesis, which proposes that neurons are optimized to maximize
information about the environment, has provided a guiding theoretical framework for sensory …

Sensory information is conveyed by populations of neurons, and coding strategies cannot
always be deduced when considering individual neurons. Moreover, information coding …

Artificial neural networks trained to solve sensory tasks can develop statistical
representations that match those in biological circuits. However, it remains unclear whether …

Many sensory systems utilize parallel ON and OFF pathways that signal stimulus increments
and decrements, respectively. These pathways consist of ensembles or grids of ON and OFF …

Whenever the retinal image changes, some neurons in visual cortex increase their rate of
firing whereas others decrease their rate of firing. Linking specific sets of neuronal …