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 …

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 …

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

Many biological and neural systems can be seen as networks of interacting periodic
processes. Importantly, their functionality, ie, whether these networks can perform their …

Neural activity is often described in terms of population-level factors extracted from the
responses of many neurons. Factors provide a lower-dimensional description with the aim of …

Rapid and reversible manipulations of neural activity in behaving animals are transforming
our understanding of brain function. An important assumption underlying much of this work …

Adaptive Resonance Theory, or ART, is a cognitive and neural theory of how the brain
autonomously learns to categorize, recognize, and predict objects and events in a changing …

Anatomical studies demonstrate that excitatory connections in cortex are not uniformly
distributed across a network but instead exhibit clustering into groups of highly connected …

Cortical computation arises from the interaction of multiple neuronal types, including
pyramidal (Pyr) cells and interneurons expressing Sst, Vip, or Pvalb. To study the circuit …