Abstract Systems neuroscience seeks explanations for how the brain implements a wide
variety of perceptual, cognitive and motor tasks. Conversely, artificial intelligence attempts to …

Highlights•Experimental advances allow us to see long-term drift in neural
representations.•Drift challenges classical notions of receptive fields and engrams.•Drift is …

In the last two decades, neuroscience studies have suggested that various psychological
phenomena are produced by predictive processes in the brain. When considered together …

Both theoretical and experimental evidence indicate that synaptic excitation and inhibition in
the cerebral cortex are well-balanced during the resting state and sensory processing. Here …

Understanding how the brain learns to compute functions reliably, efficiently, and robustly
with noisy spiking activity is a fundamental challenge in neuroscience. Most sensory and …

How biological neural networks reliably process information in the presence of spontaneous
activity remains controversial. In mouse primary visual cortex (V1), stimulus-evoked and …

Dissipative systems evolve in the preferred temporal direction indicated by the
thermodynamic arrow of time. The fundamental nature of this temporal asymmetry led us to …

Artificial neural networks have recently achieved many successes in solving sequential
processing and planning tasks. Their success is often ascribed to the emergence of the …

Ageing involves significant neurophysiological changes that are both systematic while at the
same time exhibiting divergent trajectories across individuals. These changes underlie …

The intrinsic functional architecture of the brain supports moment-to-moment maintenance of
an internal model of the world. We hypothesized and found three interdependent …