Inferences made about objects via vision, such as rapid and accurate categorization, are
core to primate cognition despite the algorithmic challenge posed by varying viewpoints and …

New developments in AI and neuroscience are revitalizing the quest to understanding
natural intelligence, offering insight about how to equip machines with human-like …

Neural information flow (NIF) provides a novel approach for system identification in
neuroscience. It models the neural computations in multiple brain regions and can be …

Using the visual system as a model, we recently showed that the efficient coding principle
accounted for the allocation of computational resources in central sensory processing: when …

The information processing mechanism of the visual nervous system is an unresolved
scientific problem that has long puzzled neuroscientists. The amount of visual information is …

Sensory adaptation is a phenomenon in which neurons are affected not only by their
immediate input but also by the sequence of preceding inputs. In visual cortex, for example …

The information processing mechanisms of the visual nervous system remain to be unsolved
scientific issues in neuroscience field, owing to a lack of unified and widely accepted theory …

Artificial intelligence (AI) is a fast-growing field focused on modeling and machine
implementation of various cognitive functions with an increasing number of applications in …

We investigated how neural activity in the middle temporal area of the macaque monkey
changes after 3 sec of exposure to a visual stimulus and used this to gain insight into the …

Visual encoding models based on deep neural networks (DNN) show good performance in
predicting brain activity in low-level visual areas. However, due to the amount of neural data …