A major shift is happening within neurophysiology: a population doctrine is drawing level
with the single-neuron doctrine that has long dominated the field. Population-level ideas …

Most sensory, cognitive and motor functions depend on the interactions of many neurons. In
recent years, there has been rapid development and increasing use of technologies for …

Recurrent neural networks (RNNs) are useful tools for learning nonlinear relationships
between time-varying inputs and outputs with complex temporal dependencies. Recently …

Despite an extensive body of reported information about peripheral and central mechanisms
involved in the pathophysiology of IBS symptoms, no comprehensive disease model has …

It has been postulated that homeostatic mechanisms maintain stable circuit function by
keeping neuronal firing within a set point range, but such firing rate homeostasis has never …

We consider the problem of extracting smooth low-dimensional neural trajectories''that
summarize the activity recorded simultaneously from tens to hundreds of neurons on …

Our wellness relies on continuous interactions between our brain and body: different organs
relay their current state to the brain and are regulated, in turn, by descending visceromotor …

Highlights•Many cortical circuits can be viewed as computational dynamical systems.•A new
tool to help us understand cortical dynamics is the optimized recurrent neural network …

Neural networks are complicated dynamical entities, whose properties are understood only
in the simplest cases. When the complex biophysical properties of neurons and their …

One of the most intriguing aspects of adaptive behavior involves the inference of regularities
and rules in ever-changing environments. Rules are often deduced through evidence-based …