The secondary motor cortex causally contributes to flexible action selection during stimulus categorization with the representations of upcoming choice and sensory history regulated by the demand to remap stimulus–action association.
The animacy organization in human ventral visual cortex is driven by both the presence of animal-diagnostic visual features and the psychological property of agency.
Diverse photographs of human faces against their natural background trigger a specific electrical response in the right hemisphere of the brain in infants aged 4–6 months.
Single units in a deep convolutional neural network trained for image classification develop shape selectivity that is similar to that found in the primate visual cortex.
A decoding-based, state-space reconstruction reveals that neurons in macaque IT cortex change the structure of their collective attractor dynamics depending on task contexts.
Concepts can be represented at multiple levels of specificity (individual examples, abstract category averages) within a single task across different regions of the brain.
The dynamics of neural responses during visual perception are best explained by a joint feedforward and recurrent architecture, which both maintains and broadcasts input features over time.
Reducing visibility with higher image presentation rates increases recurrent processing demands along the visual processing pathway to resolve object recognition.