To examine the biological building blocks of thought and action, we created biologically
realistic local circuits based on detailed well-cited physiological and anatomical …

Mainstream cognitive neuroscience aims to build mechanistic explanations of behavior by
mapping abilities described at the organismal level via the subpersonal level of computation …

To learn how cognition is implemented in the brain, we must build computational models
that can perform cognitive tasks, and test such models with brain and behavioral …

Building machines that learn and think like humans is essential not only for cognitive
science, but also for computational neuroscience, whose ultimate goal is to understand how …

Every day we make decisions critical for adaptation and survival. We repeat actions with
known consequences. But we also draw on loosely related events to infer and imagine the …

State-dependent computation is key to cognition in both biological and artificial systems.
Alan Turing recognized the power of stateful computation when he created the Turing …

Neuroscience seeks to understand how neural circuits lead to behavior. However, the gap
between circuits and behavior is too wide. An intermediate level is one of neural …

The ability to adaptively process externally stimuli and switch between different cognitive
processes is of critical importance in humans and nonhuman primates. Discerning the …

Understanding the organization of computations in cortical microcircuits is one of the most
important and challenging scientific problems of our era. In spite of tremendous progress in …

Highlights•Behavioral diversity can be leveraged to reveal neural circuit functions.•Complex
tasks allow inference of latent behavioral variables to relate to neural activity.•Movements …