The collective activity of a population of neurons, beyond the properties of individual cells, is
crucial for many brain functions. A fundamental question is how activity correlations between …

Radial cell columns are a hallmark feature of cortical architecture in many mammalian
species. It has long been held, based on the lack of orientation columns, that such functional …

A key feature of advanced motion processing in the primate dorsal stream is the existence of
pattern cells—specialized cortical neurons that integrate local motion signals into pattern …

Despite variations in appearance we robustly recognize objects. Neuronal populations
responding to objects presented under varying conditions form object manifolds and …

While it is universally accepted that the brain makes predictions, there is little agreement
about how this is accomplished and under which conditions. Accurate prediction requires …

Recently, a confluence between trends in neuroscience and machine learning has brought
a renewed focus on unsupervised learning, where sensory processing systems learn to …

If a full visual percept can be said to be a 'hypothesis', so too can a neural 'prediction'–
although the latter addresses one particular component of image content (such as 3 …

Visual object recognition has been extensively studied in both neuroscience and computer
vision. Recently, the most popular class of artificial systems for this task, deep convolutional …

The ventral visual processing hierarchy of the cortex needs to fulfill at least two key
functions: perceived objects must be mapped to high-level representations invariantly of the …

Aiming at the convergence between Earth observation (EO) Big Data and Artificial General
Intelligence (AGI), this two-part paper identifies an innovative, but realistic EO optical …