http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
an exploration of neuronal variability and its functional significance
xviii, 374 pages : illustrations (some color) ; 25 cm.
Interactions between intrinsic and stimulus-evoked activity in recurrent neural networks -- A mixed-filter algorithm for dynamically tracking learning from multiple behavioral and neurophysiological measures -- Phase resetting in the presence of noise and heterogeneity -- Dynamical parameter and state estimation in neuron models -- Inherent biases in spontaneous cortical dynamics -- Understanding animal-to-animal variability in neuronal and network properties -- Stochastic transitions between states of neural activity -- Behavioral and neural variability related to stochastic choices during a mixed-strategy game
Capturing "trial-to-trial" variations in human brain activity : from laboratory to real world -- Spatiotemporal dynamics of synchronous activity across multiple areas of the visual cortex in the alert monkey -- Linking neuronal variability to perceptual decision making via neuroimaging -- Population variability and Bayesian inference -- Neural coding : variability and information -- Intermittent vorticity, power spectral scaling, and dynamical measures on resting brain magnetic field fluctuations -- Circuit mechanisms underlying behavioral variability after severe brain injury
edited by Mingzhou Ding, Dennis L. Glanzman.
Includes bibliographical references and index.