Postgraduate Work
University College London 2003 - 2008 |
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PhD Martian radiation environment and astrobiological implications
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Powerpoint presentation delivered 6th October 2005 to the GEANT4-SPENVIS workshop, Leuven, Belgium.
Poster produced for the Perspectives Poster Competition at the BA Festival of Science. Dublin, September 2005.
Powerpoint presentation delivered February 2005 as part of the Astrobiology and Planetary Exploration (APEX) lecture series, UCL. |
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MRes Modelling Biological Complexity
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This study constitutes the generation of a new kind of motion illusion. Stimuli are created that distort not only the perception of object velocity, but also its position. The long-range and short-range motion detection mechanisms are stimulated with separate signals to create a powerful illusion of either accelerated or retarded velocity. The consequences of such an illusion are explored with respect to the distinctive dynamic patterns displayed by certain cephalopod species when hunting prey or escaping predators. The following animations were created to illustrate a lecture given on the results of this research project. The thumbnails download a .mov file. Alternatively, you could download all three as a single zip file here. For best results, make sure your player is set to 'Loop'.
It has been well established that the pattern of colouration on many animals is adaptive and confers a survival advantage by concealment, either from predators or prey. The first section of this report reviews different general camouflaging strategies to evade visual detection. The second section discusses different models for explaining the mechanism of neural computation in the visual system. Both edge detectors and motion detectors are treated in detail. Section 3 examines two examples where the camouflage system appears to be exploiting a specific feature of the observer’s visual processing pathway.
MRes core skills
Understanding the Macro with the Micro: Information about some of the smallest organisms in the sea, plankton, has recently been used to address two of the most pressing issues of our time: global climate change and the sustainable harvesting of the oceans. Here we explain how plankton data are collected and present an overview of the diverse uses of this valuable data set.
(link opens a reduced .jpg in a new window)
This poster was produced in collaboration with Trevor Graham
The Lorenz Attractor was one of the first chaotic systems to be discovered by mathematicians. Here a Mathematica programme has been written to perform a technique of numerical apporximation, the 4th-order Runge-Kutta method, to calculate and plot trajectories through 3-space. |
Undergraduate Work
The Queen's College, Oxford. 1999 - 2002 |
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Specialisations for microchiropteran |
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Achieved a
First grade |
Is Humpback Whale Song |
The humpback whale, Megaptera novaeangliae, produces the most complex vocalisations of all 77 cetacean species, which have been dubbed by Payne and MacVay (1971) as “songs”. These songs are hierarchical in nature, with rules seemingly governing their organisation and evolution over breeding seasons. No one hypothesis of the song’s function adequately explains its complexity and structure, except perhaps for the theory that it constitutes the first non-human language yet discovered. Buck and Suzuki (1999) have applied Information theory to analyse a sample of humpback song converted into a stream of symbols using a self-organising neural network (SONN). This theory can be used to determine the maximum amount of information contained within a coded sequence by the unpredictability of the next symbol. Different assumptions can be made about the nature of the sequence; the next symbol is randomly determined (thus no hierarchical structure is possible within the sequence), or the probability of the next symbol is dependent on the previous one, or two symbols (0th, 1st and 2nd Order Markov models respectively). It was found that a first-order assumption could not reasonably model humpback song, meaning that humpback song possesses a hierarchical structure suggestive of language. The low rate of information transmission, about 0.1 - 0.6 bits per second, may ensure reliable communication over long distances in noisy, unpredictable acoustic conditions. Language, as opposed to simple communicative signals, has a deep-structure that is both hierarchical and recursive. This recursiveness means that words sometimes greatly separated in a sentence must agree (for example in gender or plurality); so called “long-distance dependency”. Words of the same category (for example adjectives or nouns) behave similarly with respect to syntactically correct positioning within a sentence, and thus language also contains a lexical category structure. Elman (1992) has demonstrated that a partially recursive artificial neural network trained on a set of English sentences can detect and internally represent both recursive and lexical category structure.
This study constitutes a novel approach to analysis of humpback song for signs of language. A network architecturally identical to Elman’s was used to test song for evidence of lexical category structure, detection of which would provide support for the language hypothesis.
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Achieved a
First grade |