Significant experimental, computational, and theoretical work has identified rich structure
within the coordinated activity of interconnected neural populations. An emerging challenge …

The analysis of neural dynamics in several brain cortices has consistently uncovered low-
dimensional manifolds that capture a significant fraction of neural variability. These neural …

Sharp wave ripples (SPW‐Rs) represent the most synchronous population pattern in the
mammalian brain. Their excitatory output affects a wide area of the cortex and several …

Neuroscience has focused on the detailed implementation of computation, studying neural
codes, dynamics and circuits. In machine learning, however, artificial neural networks tend …

Highlights•New generations of recording and computing technologies have enabled
neuroscience at the level of the neural population.•Landmark scientific findings suggest the …

Although the generation of movements is a fundamental function of the nervous system, the
underlying neural principles remain unclear. As flexor and extensor muscle activities …

Populations of cortical neurons flexibly perform different functions; for the primary motor
cortex (M1) this means a rich repertoire of motor behaviors. We investigate the flexibility of …

Recent years have seen a growing interest in inhibitory interneurons and their circuits. A
striking property of cortical inhibition is how tightly it balances excitation. Inhibitory currents …

Neuronal networks with strong recurrent connectivity provide the brain with a powerful
means to perform complex computational tasks. However, high-gain excitatory networks are …

Two theoretical ideas have emerged recently with the ambition to provide a unifying
functional explanation of neural population coding and dynamics: predictive coding and …