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Emergent Dynamics of Neuronal Networks with Differing Time-scales and Modular Structure

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dc.contributor.advisor AMBIKA, G. en_US
dc.contributor.author MOZUMDAR, KUNAL en_US
dc.date.accessioned 2018-04-18T05:33:39Z
dc.date.available 2018-04-18T05:33:39Z
dc.date.issued 2017-05 en_US
dc.identifier.uri http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/781
dc.description.abstract The dynamics of the mammalian brain is captured using nonlinear dynamics in the framework of complex networks. We study the dynamics of Hindmarsh- Rose neurons with time-scale mismatch in detail, for both simplistic and realistic network models and develop various schemes for characterizing the collective dynamics of the neurons. For a simple system with two mutually coupled neurons with di ering time-scales, we observe that the di erence in timescales leads to synchronized states of frequency suppression. In a ring of HR neurons, with time-scales decreasing sequentially, we nd the neurons go into Synchronized Frequency Suppressed Clusters. We extend our model to more realisitic models of neuronal networks like modular networks. Modular networks of HR neurons show various interesting dynamical states like de-synchronized states, phase synchronization and activity death states. Further characterization of frequency suppressed states in such networks can lead to better understanding of coding of information in neuronal networks. en_US
dc.language.iso en en_US
dc.subject 2017
dc.subject Physics en_US
dc.subject Emergent Dynamics en_US
dc.subject Neuronal Networks en_US
dc.subject Differing Time-scales en_US
dc.subject Modular Structure en_US
dc.title Emergent Dynamics of Neuronal Networks with Differing Time-scales and Modular Structure en_US
dc.type Thesis en_US
dc.type.degree BS-MS en_US
dc.contributor.department Dept. of Physics en_US
dc.contributor.registration 20121023 en_US


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  • 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

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