The Commission, the Single Market and the Crisis: The Limits of Purposeful Opportunism

The economic and financial crisis opened a window of opportunity to place the Single Market back on top of the European agenda as part of a two-tiered crisis response, which also included reinforced financial supervision and economic co-ordination. We argue that the Commission acted as a ‘purposeful opportunist’ in both tiers; but whereas in economic governance issues there was breakthrough change in the Commission's achievements and competences, in the Single Market realm policy change was fairly modest. Using process tracing analysis our goal is to explain why the Commission did not succeed in furthering a genuine Single Market reform. Our findings suggest that the Commission's entrepreneurship was constrained by the limited salience of Single Market issues in the crisis context and by the lack of actual political commitment from the other relevant stakeholders. Thus, our research highlights the limits of the Commission's opportunistic behaviour in less advantageous circumstances.

Detection of Glass pattern configurations by the primary visual cortex

The neurons in the primary visual cortex that respond to the orientation of visual stimuli were discovered in the late 1950s (Hubel, D.H. & Wiesel, T.N. 1959. J. Physiol. 148:574-591) but how they achieve this response is poorly understood. Recently, experiments have demonstrated that the visual cortex may use the image processing techniques of cross or auto-correlation to detect the streaks in random dot patterns (Barlow, H. & Berry, D.L. 2010. Proc. R. Soc. B. 278: 2069-2075). These experiments made use of sinusoidally modulated random dot patterns and of the so-called Glass patterns - where randomly positioned dot pairs are oriented in a parallel configuration (Glass, L. 1969. Nature. 223: 578-580). The image processing used by the visual cortex could be inferred from how the threshold of detection of these patterns in the presence of random noise varied as a function of the dot density in the patterns. In the present study, the detection thresholds have been measured for other types of patterns including circular, hyperbolic, spiral and radial Glass patterns and an indication of the type of image processing (cross or auto-correlation) by the visual cortex is presented. As a result, it is hoped that this study will contribute to an understanding of what David Marr called the ‘computational goal’ of the primary visual cortex (Marr, D. 1982. Vision: A Computational Investigation into the Human Representation and Processing of Visual Information. New York: Freeman.)