Why do neurons communicate through spikes? By definition, spikes are all-or-none neural
events which occur at continuous times. In other words, spikes are on one side binary …

Hierarchical temporal memory (HTM) provides a theoretical framework that models several
key computational principles of the neocortex. In this paper we analyze an important …

Convolutional neural networks (CNNs) lack robustness to test image corruptions that are not
seen during training. In this paper, we propose a new layer for CNNs that increases their …

In many cases of inherited retinal degenerations, ganglion cells are spared despite
photoreceptor cell death, making it possible to stimulate them to restore visual function …

Delineation of curvilinear structures in images is an important basic step of several image
processing applications, such as segmentation of roads or rivers in aerial images, vessels or …

The precise timing of spikes emitted by neurons plays a crucial role in shaping the response
of efferent biological neurons. This temporal dimension of neural activity holds significant …

Knowledge integration based on the relationship between structure and function of the
neural substrate is one of the main targets of neuroinformatics and data-driven …

Inhibition in thalamorecipient layer 4 simple cells of primary visual cortex is believed to play
important roles in establishing visual response properties and integrating visual inputs …

The superior colliculus (SC) is a midbrain structure that receives inputs from retinal ganglion
cells (RGCs). The SC contains one of the highest densities of inhibitory neurons in the brain …

Visual stimuli are represented by a highly efficient code in the primary visual cortex, but the
development of this code is still unclear. Two distinct factors control coding efficiency …