Most sensory, cognitive and motor functions depend on the interactions of many neurons. In
recent years, there has been rapid development and increasing use of technologies for …

Cognitive scientists often infer multidimensional representations from data. Whether the data
involve text, neuroimaging, neural networks, or human judgments, researchers frequently …

Neurons in higher cortical areas, such as the prefrontal cortex, are often tuned to a variety of
sensory and motor variables, and are therefore said to display mixed selectivity. This …

Linear dimensionality reduction methods are a cornerstone of analyzing high dimensional
data, due to their simple geometric interpretations and typically attractive computational …

Working memory (WM) is a cognitive function for temporary maintenance and manipulation
of information, which requires conversion of stimulus-driven signals into internal …

A central goal of systems neuroscience is to relate an organism's neural activity to behavior.
Neural population analyses often reduce the data dimensionality to focus on relevant activity …

Rapid execution of motor sequences is believed to depend on fusing movement elements
into cohesive units that are executed holistically. We sought to determine the contribution of …

Neural activity in monkey motor cortex (M1) and dorsal premotor cortex (PMd) can reflect a
chosen movement well before that movement begins. The pattern of neural activity then …

Decision making involves dynamic interplay between internal judgements and external
perception, which has been investigated in delayed match-to-category (DMC) experiments …

When governed by underlying low-dimensional dynamics, the interdependence of
simultaneously recorded populations of neurons can be explained by a small number of …