Understanding how different areas of the human brain communicate with each other is a
crucial issue in neuroscience. The concepts of structural, functional and effective …

Understanding how neural systems integrate, encode, and compute information is central to
understanding brain function. Frequently, data from neuroscience experiments are …

Transfer Entropy Page 1 Chapter 4 Transfer Entropy In this chapter we get to the essential
mathematics of the book—a detailed discussion of transfer entropy. To begin with we look at …

Perception, cognition and behavior rely on flexible communication between microcircuits in
distinct cortical regions. The mechanisms underlying rapid information rerouting between …

We begin by reviewing the statistical framework of information theory as applicable to
neuroimaging data analysis. A major factor hindering wider adoption of this framework in …

Complex systems are increasingly being viewed as distributed information processing
systems, particularly in the domains of computational neuroscience, bioinformatics, and …

Objective: Assessing brain connectivity from electrophysiological signals is of great
relevance in neuroscience, but results are still debated and depend crucially on how …

Integrated Information Theory (IIT) is a prominent theory of consciousness that has at its
centre measures that quantify the extent to which a system generates more information than …

Hypofunctioning of the N-methyl-D-aspartate receptor (NMDA-R) has been prominently
implicated in the pathophysiology of schizophrenia (ScZ). The current study tested the …

Diverse transcranial electrical stimulation (tES) techniques have recently been developed to
elucidate the role of neural oscillations, but critically, it remains questionable whether neural …