Neuroscientists today can measure activity from more neurons than ever before, and are
facing the challenge of connecting these brain-wide neural recordings to computation and …

The array of whiskers on the snout provides rodents with tactile sensory information relating
to the size, shape and texture of objects in their immediate environment. Rodents can use …

This paper presents Integrated Information Theory (IIT) 4.0. IIT aims to account for the
properties of experience in physical (operational) terms. It identifies the essential properties …

Neuroscience has focused on the detailed implementation of computation, studying neural
codes, dynamics and circuits. In machine learning, however, artificial neural networks tend …

Neural computation involves diverse types of GABAergic inhibitory interneurons that are
integrated with excitatory (E) neurons into precisely structured circuits. To understand how …

Many theories of brain function propose that activity in sparse subsets of neurons underlies
perception and action. To place a lower bound on the amount of neural activity that can be …

Most cortical synapses are local and excitatory. Local recurrent circuits could implement
amplification, allowing pattern completion and other computations,,–. Cortical circuits …

Inhibitory neurons play a fundamental role in cortical computation and behavior. Recent
technological advances, such as two photon imaging, targeted in vivo recording, and …

Touch perception depends on integrating signals from multiple types of peripheral
mechanoreceptors. Merkel-cell associated afferents are thought to play a major role in form …

Humans and other animals can identify objects by active touch, requiring the coordination of
exploratory motion and tactile sensation. Both the motor strategies and neural …