Research experience
-
Jan 2002–
presentResearch: University of Auckland
University of Auckland · Faculty of Medical and Health SciencesNew Zealand · Auckland -
Jan 1996–
Dec 2001Research: University of Maryland, College Park
University of Maryland, College Park · Department of BiologyUSA · College Park
Other
-
LanguagesSpanish, English
Questions and Answers (7) View all
-
Answer added in Clampfit16 What is the best way to detect spontaneous miniature currents using Clampfit9?By Cherry Mao · University of AucklandM Fabiana Kubke · University of AucklandMight be worth trying a moving average and see what happens? havent thought it through but might be worth giving it a go....Might be worth trying a moving average and see what happens? havent thought it through but might be worth giving it a go....Following
-
Answer added in Clampfit16 What is the best way to detect spontaneous miniature currents using Clampfit9?By Cherry Mao · University of AucklandM Fabiana Kubke · University of AucklandI wonder whether doing a moving average might help get rid of some of the noise - haven't thought this through to see what other issues you might run ... [more]I wonder whether doing a moving average might help get rid of some of the noise - haven't thought this through to see what other issues you might run into - but worth a go to see what happens. happy to give it a go if you want.Following
-
Answer added in Science 2.0 and Open Access17 How do you organize your experimental data?By Taro Kiritani · Northwestern UniversityM Fabiana Kubke · University of Auckland@ Constantinescu I use VUE quite a bit, (and love it) but while it is good for some things, I am not sure I would describe it as a good data manageme... [more]@ Constantinescu I use VUE quite a bit, (and love it) but while it is good for some things, I am not sure I would describe it as a good data management system.Following
-
Answer added in Science 2.0 and Open Access17 How do you organize your experimental data?By Taro Kiritani · Northwestern UniversityM Fabiana Kubke · University of AucklandI don't use it (yet) so not sure how useful this is - but I am about to begin to explore Data Finder (http://www.andreas-schreiber.net/2008/07/datafin... [more]I don't use it (yet) so not sure how useful this is - but I am about to begin to explore Data Finder (http://www.andreas-schreiber.net/2008/07/datafinder-a-python-application-for-scientific-data-management/) mainly because I am helping a set of programmers that are trying to create an elab notebook that integrates with the file management system.Following
-
Answer added in Spike Sorting17 Is it possible to distinguish type of neuron (e.g. GABAergic, dopaminergic etc.) from any features derived from extracellular action potentials?By Michael Fauler · Universität UlmM Fabiana Kubke · University of AucklandI would argue that as long as you know what features are unique to your DA neurons then you could use the extracellular to identify them - but being c... [more]I would argue that as long as you know what features are unique to your DA neurons then you could use the extracellular to identify them - but being certain that the properties are both typical and exclusive in your system is quite a chore if it hasnt been done before - but I have seen it done...Following
Publications (36) View all
-
Article: Morphometric analysis of telencephalic structure in a variety of neognath and paleognath bird species reveals regional differences associated with specific behavioral traits.
[show abstract] [hide abstract]
ABSTRACT: Birds exhibit a huge array of behavior, ecology and physiology, and occupy nearly every environment on earth, ranging from the desert outback of Australia to the tropical rain forests of Panama. Some birds have adopted a fully nocturnal lifestyle, such as the barn owl and kiwi, while others, such as the albatross, spend nearly their entire life flying over the ocean. Each species has evolved unique adaptations over millions of years to function in their respective niche. In order to increase processing power or network efficiency, many of these adaptations require enlargements and/or specializations of the brain as a whole or of specific brain regions. In this study, we examine the relative size and morphology of 9 telencephalic regions in a number of Paleognath and Neognath birds and relate the findings to differences in behavior and sensory ecology. We pay particular attention to those species that have undergone a relative enlargement of the telencephalon to determine whether this relative increase in telencephalic size is homogeneous across different brain regions or whether particular regions have become differentially enlarged. The analysis indicates that changes in the relative size of telencephalic regions are not homogeneous, with every species showing hypertrophy or hypotrophy of at least one of them. The three-dimensional structure of these regions in different species was also variable, in particular that of the mesopallium in kiwi. The findings from this study provide further evidence that the changes in relative brain size in birds reflect a process of mosaic evolution.Brain Behavior and Evolution 08/2012; 80(3):181-95. · 2.21 Impact Factor -
Article: Inner-Ear Morphology of the New Zealand Kiwi (Apteryx mantelli) Suggests High-Frequency Specialization.
[show abstract] [hide abstract]
ABSTRACT: The sensory systems of the New Zealand kiwi appear to be uniquely adapted to occupy a nocturnal ground-dwelling niche. In addition to well-developed tactile and olfactory systems, the auditory system shows specializations of the ear, which are maintained along the central nervous system. Here, we provide a detailed description of the auditory nerve, hair cells, and stereovillar bundle orientation of the hair cells in the North Island brown kiwi. The auditory nerve of the kiwi contained about 8,000 fibers. Using the number of hair cells and innervating nerve fibers to calculate a ratio of average innervation density showed that the afferent innervation ratio in kiwi was denser than in most other birds examined. The average diameters of cochlear afferent axons in kiwi showed the typical gradient across the tonotopic axis. The kiwi basilar papilla showed a clear differentiation of tall and short hair cells. The proportion of short hair cells was higher than in the emu and likely reflects a bias towards higher frequencies represented on the kiwi basilar papilla. The orientation of the stereovillar bundles in the kiwi basilar papilla showed a pattern similar to that in most other birds but was most similar to that of the emu. Overall, many features of the auditory nerve, hair cells, and stereovilli bundle orientation in the kiwi are typical of most birds examined. Some features of the kiwi auditory system do, however, support a high-frequency specialization, specifically the innervation density and generally small size of hair-cell somata, whereas others showed the presumed ancestral condition similar to that found in the emu.Journal of the Association for Research in Otolaryngology 07/2012; 13(5):629-39. · 2.84 Impact Factor -
SourceAvailable from: PubMed Central
Article: Subdivisions of the auditory midbrain (n. mesencephalicus lateralis, pars dorsalis) in zebra finches using calcium-binding protein immunocytochemistry.
[show abstract] [hide abstract]
ABSTRACT: The midbrain nucleus mesencephalicus lateralis pars dorsalis (MLd) is thought to be the avian homologue of the central nucleus of the mammalian inferior colliculus. As such, it is a major relay in the ascending auditory pathway of all birds and in songbirds mediates the auditory feedback necessary for the learning and maintenance of song. To clarify the organization of MLd, we applied three calcium binding protein antibodies to tissue sections from the brains of adult male and female zebra finches. The staining patterns resulting from the application of parvalbumin, calbindin and calretinin antibodies differed from each other and in different parts of the nucleus. Parvalbumin-like immunoreactivity was distributed throughout the whole nucleus, as defined by the totality of the terminations of brainstem auditory afferents; in other words parvalbumin-like immunoreactivity defines the boundaries of MLd. Staining patterns of parvalbumin, calbindin and calretinin defined two regions of MLd: inner (MLd.I) and outer (MLd.O). MLd.O largely surrounds MLd.I and is distinct from the surrounding intercollicular nucleus. Unlike the case in some non-songbirds, however, the two MLd regions do not correspond to the terminal zones of the projections of the brainstem auditory nuclei angularis and laminaris, which have been found to overlap substantially throughout the nucleus in zebra finches.PLoS ONE 01/2011; 6(6):e20686. · 4.09 Impact Factor -
SourceAvailable from: Konrad U. Förstner
Article: Collaborative platforms for streamlining workflows in Open Science
[show abstract] [hide abstract]
ABSTRACT: Despite the internet's dynamic and collaborative nature, scientists continue to produce grant proposals, lab notebooks, data files, conclusions etc. that stay in static formats or are not published online and therefore not always easily accessible to the interested public. Because of limited adoption of tools that seamlessly integrate all aspects of a research project (conception, data generation, data evaluation, peer-reviewing and publishing of conclusions), much effort is later spent on reproducing or reformatting individual entities before they can be repurposed independently or as parts of articles. We propose that workflows - performed both individually and collaboratively - could potentially become more efficient if all steps of the research cycle were coherently represented online and the underlying data were formatted, annotated and licensed for reuse. Such a system would accelerate the process of taking projects from conception to publication stages and allow for continuous updating of the data sets and their interpretation as well as their integration into other independent projects. A major advantage of such workflows is the increased transparency, both with respect to the scientific process as to the contribution of each participant. The latter point is important from a perspective of motivation, as it enables the allocation of reputation, which creates incentives for scientists to contribute to projects. Such workflow platforms offering possibilities to fine-tune the accessibility of their content could gradually pave the path from the current static mode of research presentation into a more coherent practice of open science.Proceedings of the 6th Open Knowledge Conference. 01/2011; -
SourceAvailable from: Christine Köppl
Article: Evidence for an auditory fovea in the New Zealand kiwi (Apteryx mantelli).
[show abstract] [hide abstract]
ABSTRACT: Kiwi are rare and strictly protected birds of iconic status in New Zealand. Yet, perhaps due to their unusual, nocturnal lifestyle, surprisingly little is known about their behaviour or physiology. In the present study, we exploited known correlations between morphology and physiology in the avian inner ear and brainstem to predict the frequency range of best hearing in the North Island brown kiwi. The mechanosensitive hair bundles of the sensory hair cells in the basilar papilla showed the typical change from tall bundles with few stereovilli to short bundles with many stereovilli along the apical-to-basal tonotopic axis. In contrast to most birds, however, the change was considerably less in the basal half of the epithelium. Dendritic lengths in the brainstem nucleus laminaris also showed the typical change along the tonotopic axis. However, as in the basilar papilla, the change was much less pronounced in the presumed high-frequency regions. Together, these morphological data suggest a fovea-like overrepresentation of a narrow high-frequency band in kiwi. Based on known correlations of hair-cell microanatomy and physiological responses in other birds, a specific prediction for the frequency representation along the basilar papilla of the kiwi was derived. The predicted overrepresentation of approximately 4-6 kHz matches potentially salient frequency bands of kiwi vocalisations and may thus be an adaptation to a nocturnal lifestyle in which auditory communication plays a dominant role.PLoS ONE 01/2011; 6(8):e23771. · 4.09 Impact Factor