Neurons in the neocortex receive a large number of excitatory and inhibitory synaptic inputs.
Excitation and inhibition dynamically balance each other, with inhibition lagging excitation …

Understanding the magnitude and structure of interneuronal correlations and their
relationship to synaptic connectivity structure is an important and difficult problem in …

Computations in cortical circuits require action potentials from excitatory and inhibitory
neurons. In this mini-review, I first provide a quick overview of findings that indicate that …

Highlights•Inhibition-stabilized networks describe the visual cortical operating
point.•Dynamic synapses cause nonlinearity and multi-stability in balanced …

Isolated feedforward networks (FFNs) of spiking neurons have been studied extensively for
their ability to propagate transient synchrony and asynchronous firing rates, in the presence …

Asynchronous activity in balanced networks of excitatory and inhibitory neurons is believed
to constitute the primary medium for the propagation and transformation of information in the …

High-level brain function, such as memory, classification, or reasoning, can be realized by
means of recurrent networks of simplified model neurons. Analog neuromorphic hardware …

A central question in neuroscience is to understand how noisy firing patterns are used to
transmit information. Because neural spiking is noisy, spiking patterns are often quantified …

It was often reported and suggested that the synchronization of spikes can occur without
changes in the firing rate. However, few theoretical studies have tested its mechanistic …

The activity of neurons is correlated, and this correlation affects how the brain processes
information. We study the neural circuit mechanisms of correlations by analyzing a network …