Most sensory, cognitive and motor functions depend on the interactions of many neurons. In
recent years, there has been rapid development and increasing use of technologies for …

This article presents a review of computational methods for connectivity inference from
neural activity data derived from multi-electrode recordings or fluorescence imaging. We first …

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 …

Responses of sensory neurons differ across repeated measurements. This variability is
usually treated as stochasticity arising within neurons or neural circuits. However, some …

Understanding the mechanisms of neural computation and learning will require knowledge
of the underlying circuitry. Because it is difficult to directly measure the wiring diagrams of …

Responses of sensory neurons represent stimulus information, but are also influenced by
internal state. For example, when monkeys direct their attention to a visual stimulus, the …

Exploiting data invariances is crucial for efficient learning in both artificial and biological
neural circuits. Understanding how neural networks can discover appropriate …

Neurons in the brain represent information in their collective activity. The fidelity of this
neural population code depends on whether and how variability in the response of one …

Precise spike coordination between the spiking activities of multiple neurons is suggested
as an indication of coordinated network activity in active cell assemblies. Spike correlation …

As information flows through the brain, neuronal firing progresses from encoding the world
as sensed by the animal to driving the motor output of subsequent behavior. One of the more …