Predicting reinforcement from sensory cues is beneficial for goal-directed behavior. In insect
brains, underlying associations between cues and reinforcement, encoded by dopaminergic …

Most neurons in peripheral sensory pathways initially respond vigorously when a preferred
stimulus is presented, but adapt as stimulation continues. It is unclear how this phenomenon …

Almost all behaviors involve making predictions. Whether an organism is trying to catch
prey, avoid predators, or simply move through a complex environment, the organism uses …

Animal nervous systems are highly efficient in processing sensory input. The neuromorphic
computing paradigm aims at the hardware implementation of neural network computations …

Predicting positive or negative reinforcement from environmental clues is essential to guide
decision making and goal-directed behavior. In insect brains the mushroom body is a central …

Natural scenes statistics have been studied extensively using collections of natural images
and sound recordings. These studies have yielded important insights about how the brain …

The current view in neuroscience holds that the brain, together with its sensory and motor
structures and the environment, form a closed-loop system—a sensorimotor loop—in which …

This is a review of unsupervised learning applied to videos with the aim of learning visual
representations. We look at different realizations of the notion of temporal coherence across …

Almost all neural computations involve making predictions. Whether an organism is trying to
catch prey, avoid predators, or simply move through a complex environment, the data it …

The structure of human brain is complex, and fMRI data can be used to reveal the working
mechanism of human brain. We construct a generative confrontation deep learning network …