Target-based drug discovery is the dominant paradigm of drug discovery; however, a
comprehensive evaluation of its real-world efficiency is lacking. Here, a manual systematic …

Causal reductionism is the widespread assumption that there is no room for additional
causes once we have accounted for all elementary mechanisms within a system. Due to its …

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 …

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

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 …

In complex networks such as gene networks, traffic systems or brain circuits it is important to
understand how long it takes for the different parts of the network to effectively influence one …

We introduce a flexible method for high-resolution interrogation of circuit function, which
combines simultaneous 3D two-photon stimulation of multiple targeted neurons, volumetric …

Although there is growing interest in measuring integrated information in computational and
cognitive systems, current methods for doing so in practice are computationally unfeasible …

Abstract Information transfer is a key component of information processing, next to
information storage and modification. Information transfer can be measured by a variety of …

Information theory allows us to investigate information processing in neural systems in terms
of information transfer, storage and modification. Especially the measure of information …