Institution
King's College, Aberdeen
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About: King's College, Aberdeen is a based out in . It is known for research contribution in the topics: Poison control & Sedimentary depositional environment. The organization has 712 authors who have published 918 publications receiving 25421 citations. The organization is also known as: King's College, Aberdeen & The University and King's College of Aberdeen.
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15 Nov 1998-Philosophical transactions - Royal Society. Mathematical, physical and engineering sciences
TL;DR: The processes of aeolian and fluvial grain transport have several superficial similarities, but differences of detail are also important as mentioned in this paper, and transport rate variations produce bed form variations.
Abstract: The processes of aeolian and fluvial grain transport have several superficial similarities, but differences of detail are also important. In both systems, transport rate variations produce bed form...
16 citations
TL;DR: In this article, the impact of natural fractures of the formation on production from hydraulically fractured wells is studied using a recently developed fracture upscaling method (FUM) by capturing the distribution of complex fracture networks using FUM, a novel idea of changing the well orientation to optimise recovery is proposed.
16 citations
TL;DR: In this article, the Yoneda extension algebra of the collection of Weyl modules for G L 2 over an algebraically closed field of characteristic p > 0 was computed by developing a theory of generalised Koszul duality for certain 2-functors.
16 citations
TL;DR: In this paper, the authors present the first experimental FOD study where the impacting particle size, geometry, and velocity, as well as TBC temperature, are well known at each impact site.
16 citations
TL;DR: In this article, a general approach to linear stability analysis of pulse-coupled neural networks for generic phase-response curves and post-synaptic response functions is presented, and the analysis of perfectly regular, asynchronous, states reveals that their stability depends crucially on the smoothness of both the phase response curve and the transmitted postsynaptic pulse.
Abstract: In a first step towards the comprehension of neural activity, one should focus onthe stability of the possible dynamical states. Even the characterization of idealized regimes, such as that of a perfectly periodic spiking activity, reveals unexpected difficulties. In this paper we discuss a general approach to linear stability of pulse-coupled neural networks for generic phase-response curves and post-synaptic response functions. In particular, we present: (i) a mean-field approach developed under the hypothesis of an infinite network and small synaptic conductances; (ii) a ``microscopic" approach which applies to finite but large networks. As a result, we find that there exist two classes of perturbations: those whichare perfectly described by the mean-field approach and those which are subject to finite-sizecorrections, irrespective of the network size. The analysis of perfectly regular, asynchronous, states reveals that their stabilitydepends crucially on the smoothness of both the phase-response curve and the transmitted post-synaptic pulse. Numerical simulations suggest that this scenario extends tosystems that are not covered by the perturbative approach. Altogether, we have described a series of tools for the stability analysis of various dynamical regimes of generic pulse-coupled oscillators, going beyond those that are currently invoked in the literature.
16 citations
Authors
Showing all 721 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Gary J. Macfarlane | 88 | 389 | 24742 |
| Celso Grebogi | 76 | 488 | 22450 |
| Rhona Flin | 74 | 282 | 20088 |
| C. Neil Macrae | 71 | 193 | 20704 |
| Robert M. McMeeking | 70 | 312 | 19385 |
| David M. Paterson | 65 | 216 | 11613 |
| Ray W. Ogden | 64 | 294 | 24885 |
| Lawrence J. Whalley | 62 | 195 | 14050 |
| Ana Deletic | 61 | 334 | 12585 |
| Falko F. Sniehotta | 60 | 260 | 16194 |
| Lisa M. DeBruine | 59 | 270 | 11633 |
| Robert H. Logie | 57 | 190 | 14008 |
| Muhammad Naveed | 54 | 346 | 10376 |
| Jörg Feldmann | 51 | 209 | 10302 |
| J. Neilson | 51 | 129 | 24749 |