At the cellular level, the appearance of different brain states (such as wake, sleep, anesthesia) are reviewed at the scale of neurons, from extracellular recordings in both, human and animal models. At a larger scale, it will be discussed how brain states differ from the viewpoint of the whole brain, using electro-encephalogram and intracranial recordings in humans.
From a modeling perspective, workshop participants will learn how cellular data can be used to build model networks of spiking neurons and how mean-field techniques are used to derive population models of different brain states from those network models. Such population models can be integrated in The Virtual Brain environment to yield simulations at the level of the whole brain.
Together, these techniques can bridge scales, from neurons to the whole brain and provide an integrated view of brain states and their responsiveness.
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