Balazs Szigeti PhD

Balazs Szigeti


Research Interests

My project uses experimental techniques to investigate the connectivity of presubiculum and layer 2 of the medial entorhinal cortex (MEC). In both of these regions place cells have been identified, but it is not clear what is the realtionship between the two populations. Its is possible that they develop independently from each other or that one inherits its spatial firing pattern from the other population. I will use optogenetic techniques and patch clamp recordings to gain a better understanding of the origioin of place cells in these regions.

I am also the member of the OpenWorm project that aims to create a virtual C. Elegans. Further information: http://www.openworm.org/

Publications:
2015
  Searching for motifs in the behaviour of larval Drosophila melanogaster and Caenorhabditis elegans reveals continuity between behavioural states
Szigeti, B, Deogade, A & Webb, B 2015, 'Searching for motifs in the behaviour of larval Drosophila melanogaster and Caenorhabditis elegans reveals continuity between behavioural states' Journal of the Royal Society Interface, vol 12, no. 113. DOI: 10.1098/rsif.2015.0899

We present a novel method for the unsupervised discovery of behavioural motifs in larval Drosophila melanogaster and Caenorhabditis elegans. A motif is defined as a particular sequence of postures that recurs frequently. The animal's changing posture is represented by an eigenshape time series, and we look for motifs in this time series. To find motifs, the eigenshape time series is segmented, and the segments clustered using spline regression. Unlike previous approaches, our method can classify sequences of unequal duration as the same motif. The behavioural motifs are used as the basis of a probabilistic behavioural annotator, the eigenshape annotator (ESA). Probabilistic annotation avoids rigid threshold values and allows classification uncertainty to be quantified. We apply eigenshape annotation to both larval Drosophila and C. elegans and produce a good match to hand annotation of behavioural states. However, we find many behavioural events cannot be unambiguously classified. By comparing the results with ESA of an artificial agent's behaviour, we argue that the ambiguity is due to greater continuity between behavioural states than is generally assumed for these organisms.


General Information
Organisations: Institute of Perception, Action and Behaviour .
Authors: Szigeti, Balázs, Deogade, Ajinkya & Webb, Barbara.
Number of pages: 12
Publication Date: 6 Dec 2015
Publication Information
Category: Article
Journal: Journal of the Royal Society Interface
Volume: 12
Issue number: 113
ISSN: 1742-5689
Original Language: English
DOIs: 10.1098/rsif.2015.0899
2012
  The OpenWorm project and the behavioural Turing test
Szigeti, B 2012, 'The OpenWorm project and the behavioural Turing test' Frontiers of Natural Computing 2012, York, United Kingdom, 10/09/12 - 12/09/12, .
General Information
Organisations: Neuroinformatics DTC.
Authors: Szigeti, Balazs.
Publication Date: 2012
Publication Information
Category: Poster
Original Language: English

Projects:
Do presubiculum and the media entorhinal cortex use common or distinct mechanisms to represent space? (PhD)