The first synapse of the retina plays a fundamental role in the visual system. Due to its
importance, it is critical that it encodes information from the outside world with the greatest …

The retina is a very fine and layered neural tissue, which vitally depends on the preservation
of cells, structure, connectivity and vasculature to maintain vision. There is an urgent need to …

In recent years, convolutional neural networks (CNNs) have dominated the field of computer
vision. Compared to traditional methods, these neural network algorithms exhibit strong …

How sensory systems extract salient features from natural environments and organize them
across neural pathways is unclear. Combining single-cell and population two-photon …

Synapse formation within the retinal circuit ensures that distinct neuronal types can
communicate efficiently to process visual signals. Synapses thus form the core of the visual …

Excitatory and inhibitory neurons in the CNS are distinguished by several features, including
morphology, transmitter content, and synapse architecture [1]. Such distinctions are …

How neurons in the eye feed signals back to photoreceptors to optimize sensitivity to
patterns of light appears to be mediated by one or more unconventional mechanisms. Via …

The retina is a tremendously complex image processor, containing numerous cell types that
form microcircuits encoding different aspects of the visual scene. Each microcircuit exhibits a …

LRRTM4 is a transsynaptic adhesion protein regulating glutamatergic synapse assembly on
dendrites of central neurons. In the mouse retina, we find that LRRTM4 is enriched at …

How specific features of the environment are represented in the mammalian brain is an
important unexplained mystery in neuroscience. Visual information is considered to be …