GABAergic interneurons, which are highly diverse, have long been thought to contribute to
the timing of neural activity as well as to the generation and sha** of brain rhythms …

The past decade has witnessed a renewed interest in cortical local field potentials (LFPs)—
that is, extracellularly recorded potentials with frequencies of up to∼ 500 Hz. This is due to …

The spontaneous activity of the brain shows different features at different scales. On one
hand, neuroimaging studies show that long-range correlations are highly structured in …

In the past decade, the cell-type specific connectivity and activity of local cortical networks
have been characterized experimentally to some detail. In parallel, modeling has been …

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

Brain circuitry processes information by rapidly and selectively engaging functional neuronal
networks. The dynamic formation of networks is often evident in rhythmically synchronized …

Neuromorphic processing systems implementing spiking neural networks with mixed signal
analog/digital electronic circuits and/or memristive devices represent a promising …

The brain is organized as a network of highly specialized networks of spiking neurons. To
exploit such a modular architecture for computation, the brain has to be able to regulate the …

Simultaneous recordings from large neural populations are becoming increasingly common.
An important feature of population activity is the trial-to-trial correlated fluctuation of spike …

Balance of excitation and inhibition is a fundamental feature of in vivo network activity and is
important for its computations. However, its presence in the neocortex of higher mammals is …