Two different perspectives have informed efforts to explain the link between the brain and
behaviour. One approach seeks to identify neural circuit elements that carry out specific …

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 …

Until now, most brain studies have focused on small numbers of neurons that interact in
limited circuits, allowing analysis of individual computations or steps of neural processing …

Model-based data analysis of whole-brain dynamics links the observed data to model
parameters in a network of neural masses. Recently, studies focused on the role of regional …

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 …

The ability to record activities from hundreds of neurons simultaneously in the brain has
placed an increasing demand for developing appropriate statistical techniques to analyze …

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 …

Cortical neurons emit seemingly erratic trains of action potentials or “spikes,” and neural
network dynamics emerge from the coordinated spiking activity within neural circuits. These …

An important problem in systems neuroscience is to identify the latent dynamics underlying
neural population activity. Here we address this problem by introducing a low-dimensional …

An open question in systems and computational neuroscience is how neural circuits
accumulate evidence towards a decision. Fitting models of decision-making theory to neural …