Scientific reasoning is—and ought to be—conducted in accordance with the axioms of probability. This Bayesian view—so called because of the central role it accords to a theorem first proved by Thomas Bayes in the late eighteenth ...

In clinical and agricultural trials, there is the danger that an experimental outcome appears to arise from the causal process or treatment one is interested in when, in reality, it was produced by some extraneous variation in the experimental conditions. The remedy prescribed by classical statisticians involves the procedure of randomization, whose effectiveness and appropriateness is criticized. An alternative, Bayesian analysis of experimental design, is shown, on the other hand, to provide a coherent and intuitively satisfactory solution to the problem.

Bacon's scientific method is commonly thought to proceed mechanically to its infallible end. In this book however, Urbach presents Bacon's philosophy in an alternative light which acquits him of several errors. Urbach describes Bacon as an experimental scientist and examines the criticisms made against him, one of which was that he did not understand the roles of mathematics and science. Bacon was not a traditional metaphysician and was alarmed at the lack of progress in science since ancient times, (...) especially the lack of practical results. He attempted to open up a middle path between practical experience and unsupported theorizing. The author intends to clarify rather than defend Bacon's work. (shrink)

Mayo (1987) sought to discredit Urbach's (1985) arguments against randomization as a universal requirement in clinical and agricultural trials. The present reply rebuts Mayo's criticisms.

Peter Urbach; X*—Random Sampling and the Principles of Estimation, Proceedings of the Aristotelian Society, Volume 89, Issue 1, 1 June 1989, Pages 143–164, http.

Peter Urbach; X*—Random Sampling and the Principles of Estimation, Proceedings of the Aristotelian Society, Volume 89, Issue 1, 1 June 1989, Pages 143–164, http.

The EEG and MEG studies cited in the target article found reduced gamma band power following pseudowords in comparison with words. Pulvermüller interprets this power difference in terms of reverberating lexical cell assemblies. An alternative interpretation in terms of latency jitter in the gamma band following pseudowords is proposed that does not appeal to lexical cell assemblies.

The Drosophila embryo provides a useful model system to study the mechanisms that lead to pattern and cell diversity in the central nervous system (CNS). The Drosophila CNS, which encompasses the brain and the ventral nerve cord, develops from a bilaterally symmetrical neuroectoderm, which gives rise to neural stem cells, called neuroblasts. The structure of the embryonic ventral nerve cord is relatively simple, consisting of a sequence of repeated segmental units (neuromeres), and the mechanisms controlling the formation and specification of (...) the neuroblasts that form these neuromeres are quite well understood. Owing to the much higher complexity and hidden segmental organization of the brain, our understanding of its development is still rudimentary. Recent investigations on the expression and function of proneural genes, segmentation genes, dorsoventral‐patterning genes and a number of other genes have provided new insight into the principles of neuroblast formation and patterning during embryonic development of the fly brain. Comparisons with the same processes in the trunk help us to understand what makes the brain different from the ventral nerve cord. Several parallels in early brain patterning between the fly and the vertebrate systems have become evident. BioEssays 26:739–751, 2004. © 2004 Wiley Periodicals, Inc. (shrink)