Compulsion is a cardinal symptom of drug addiction (severe substance use disorder).
However, compulsion is observed in only a small proportion of individuals who repeatedly …

Neuroscientists often describe neural activity as a representation of something, or claim to
have found evidence for a neural representation, but there is considerable ambiguity about …

The meta-reinforcement learning (meta-RL) framework, which involves RL over multiple
timescales, has been successful in training deep RL models that generalize to new …

Neural computations are currently investigated using two separate approaches: sorting
neurons into functional subpopulations or examining the low-dimensional dynamics of …

Neurons in frontal cortex exhibit diverse selectivity representing sensory, motor and
cognitive variables during decision-making. The neural circuit basis for this complex …

How do we learn about what to learn about? Specifically, how do the neural elements in our
brain generalize what has been learned in one situation to recognize the common structure …

Accurate navigation to a desired goal requires consecutive estimates of spatial relationships
between the current position and future destination throughout the journey. Although …

Abstract Colombian drug lord Pablo Escobar, while on the run, purportedly burned two
million dollars in banknotes to keep his daughter warm. A stark reminder that, in life …

Parkinson's disease (PD) is a debilitating neurodegenerative disorder. Its symptoms are
typically treated with levodopa or dopamine receptor agonists, but its action lacks specificity …

The firing rates of individual neurons displaying mixed selectivity are modulated by multiple
task variables. When mixed selectivity is nonlinear, it confers an advantage by generating a …