In recent years, the appearance of the broad learning system (BLS) is poised to
revolutionize conventional artificial intelligence methods. It represents a step toward building …

Top-down feedback in cortex is critical for guiding sensory processing, which has
prominently been formalized in the theory of hierarchical predictive coding (hPC). However …

Extended wakefulness is associated with reduced performance and the build-up of sleep
pressure. In the cortex, this manifests as changes in network activity. These changes show …

This review article summarises recently proposed theories on how neural circuits in the
brain could approximate the error back-propagation algorithm used by artificial neural …

Early detection of malign patterns in patients' biological signals can save millions of lives.
Despite the steady improvement of artificial intelligence–based techniques, the practical …

Deep learning has seen remarkable developments over the last years, many of them
inspired by neuroscience. However, the main learning mechanism behind these advances …

What happens in our brain when we make a decision? What triggers a neuron to send out a
signal? What is the neural code? This textbook for advanced undergraduate and beginning …

Brain function is a product of the balance between excitatory and inhibitory (E/I) brain
activity. Variation in the regulation of this activity is thought to give rise to normal variation in …

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 …