David J. Freedman

TL;DR: This article trained monkeys to categorize computer-generated stimuli as "cat" and "dogs" using a morphing system to systematically vary stimulus shape and precisely define the category boundary, which reflected the category of visual stimuli even when a monkey was retrained with the stimuli assigned to new categories.

TL;DR: It is suggested that intrinsic timescales reflect areal specialization for task-relevant computations over multiple temporal ranges.

TL;DR: This paper found that neurons in the lateral prefrontal cortex were tuned for quantity irrespective of the exact physical appearance of the displays, which may explain why behavioral discrimination improves with increasing numerical distance and why discrimination of two quantities with equal numerical distance worsens as their numerical size increases.

TL;DR: The ITC seems more involved in the analysis of currently viewed shapes, whereas the PFC showed stronger category signals, memory effects, and a greater tendency to encode information in terms of its behavioral meaning.

TL;DR: It is shown that neurons in LIP—an area known to be centrally involved in visuo-spatial attention, motor planning and decision-making—robustly reflect the category of motion direction as a result of learning, indicating that LIP might be an important nexus for the transformation of visual direction selectivity to more abstract representations that encode the behavioural relevance, or meaning, of stimuli.