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Systems Science & Informatics: Computational Neuroscience Kaushik Majumdar Indian Statistical Institute Bangalore Center.

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Presentation on theme: "Systems Science & Informatics: Computational Neuroscience Kaushik Majumdar Indian Statistical Institute Bangalore Center."— Presentation transcript:

1 Systems Science & Informatics: Computational Neuroscience Kaushik Majumdar Indian Statistical Institute Bangalore Center

2 Computational Neuroscience Neural Information Processing Brain Functions Modeling

3 Computational Neuroscience Neural Information Processing -Functional brain signals: EEG, MEG, fMRI, PET, SPECT Brain Functions Modeling

4 Computational Neuroscience Neural Information Processing -Functional brain imaging: EEG, MEG, fMRI, PET, SPECT Brain Functions Modeling -Single cell modeling -Network Modeling -Population Coding

5 Our Focus Neural Information Processing -Functional brain imaging: EEG (current) fMRI (future) Brain Functions Modeling -Network Modeling

6 Nature of EEG

7 My Most Recent Works on EEG Human Scalp EEG Processing: Various Soft Computing Approaches -Submitted to Applied Soft Computing, Elsevier Fourier Uniformity

8 Most Recent Papers Fourier uniformity an useful tool for analyzing EEG signals with an application to source localization, IJCNN’09, Atlanta. http://arxiv.org/ftp/arxiv/papers/0904/0904. 4499.pdf http://arxiv.org/ftp/arxiv/papers/0904/0904. 4499.pdf Constraining minimum norm inverse by phase synchronization and signal power of the scalp EEG channels, IEEE Trans. Biomed. Eng., vol. 56(4):1228, Apr 2009.

9 Epilepsy Center of the University Hospital of Freiburg, Germany Epilepsy Research

10 Small Network Modeling Neuron Synapse Astrocyte

11 Enterprise for Rewards Enterprising behavior – Actions taken to achieve a reward.

12 Two Persons Dynamic Game of Incomplete Information The person himself/herself is one of the players. The other is his/her environment. Objectives: 1.Expectation maximization. 2.Risk minimization. Open question – are (1) and (2) mutually independent?


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