Physics is a field of science that has traditionally used the scientific method to answer
questions about why natural phenomena occur and to make testable models that explain the …

Computational models in neuroscience usually take the form of systems of differential
equations. The behaviour of such systems is the subject of dynamical systems theory …

Flexible computation is a hallmark of intelligent behavior. However, little is known about how
neural networks contextually reconfigure for different computations. In the present work, we …

Decisions are made with different degrees of consistency, and this consistency can be
linked to the confidence that the best choice has been made. Theoretical work suggests that …

How can we tell whether two neural networks utilize the same internal processes for a
particular computation? This question is pertinent for multiple subfields of neuroscience and …

The medial prefrontal cortex (mPFC) has been proposed to link sensory inputs and
behavioral outputs to mediate the execution of learned behaviors. However, how such a link …

The question of how the collective activity of neural populations gives rise to complex
behaviour is fundamental to neuroscience. At the core of this question lie considerations …

An influential framework within systems neuroscience posits that neural computations can
be understood in terms of low-dimensional dynamics in recurrent circuits. A number of …

While neural plasticity has long been studied as the basis of learning, the growth of large-
scale neural recording techniques provides a unique opportunity to study how learning …

The relation between neural activity and behaviorally relevant variables is at the heart of
neuroscience research. When strong, this relation is termed a neural representation. There …