Digital Repository

Network modeling and behavioral characterization of Hydra contraction dynamics

Show simple item record

dc.contributor.advisor Fairhall, Adrienne
dc.contributor.author GUPTA, DIVYANSH
dc.date.accessioned 2024-05-20T07:03:40Z
dc.date.available 2024-05-20T07:03:40Z
dc.date.issued 2024-05
dc.identifier.citation 57 en_US
dc.identifier.uri http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/8870
dc.description.abstract Hydra is a cnidarian possessing some of the earliest extant nervous systems compris- ing of nerve nets of diffusely spread neurons that coordinate its behavior without any centralization. It is also a well studied model organism in developmental biology for its remarkable ability to regenerate. With its simple nervous system it exhibits a behavioral repertoire comprising of spontaneous contractions and multi-step whole-body coordi- nated behaviors like somersaulting and prey-capture for feeding. How the nerve net of Hydra orchestrates these movements is not understood. Recent advances in genomics and calcium imaging allow for unprecedented insights into large scale neural recordings, the size of hydra also makes it particularly appealing for complete observations of neural activity and behavior. Using a two population network model driven by mechanosensitivity incorporating gap junctions and mutual inhibition we model the neural activity that controls these spontaneous contractions and put together ideas about the neurophysiology of Hydra into a coherent mechanistic model. I extract neural activity and behavior from a dataset comprising of calcium imaging videos of freely behaving animals in a petri-dish before being bisected, into two halves which were then imaged separately over the course of regeneration, and use these to constrain and validate the model. I show that this model captures the switching of activity between the sub-networks and the recovery of the contraction behaviour after bisection, but misses higher order variation in the activity which might be light-driven or affected by many other sources of variability in the animal’s neural circuitry including interactions with other sub-networks, neuropeptides and a stochastic water influx. This model could serve as the basis for future work incorporating more detail from Hydra neurophysiology as it gets discovered and provide a more comprehensive understanding of the hydra nervous system. en_US
dc.language.iso en_US en_US
dc.subject Computational neuroscience en_US
dc.subject Biophysics en_US
dc.subject Invertebrate neurophysiology en_US
dc.subject Animal behavior en_US
dc.title Network modeling and behavioral characterization of Hydra contraction dynamics en_US
dc.type Thesis en_US
dc.description.embargo One Year en_US
dc.type.degree BS-MS en_US
dc.contributor.department Dept. of Biology en_US
dc.contributor.registration 20191007 en_US


Files in this item

This item appears in the following Collection(s)

  • MS THESES [1705]
    Thesis submitted to IISER Pune in partial fulfilment of the requirements for the BS-MS Dual Degree Programme/MSc. Programme/MS-Exit Programme

Show simple item record

Search Repository


Advanced Search

Browse

My Account