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Systems Science & Informatics: Computational
Neuroscience
Kaushik Majumdar
Indian Statistical Institute
Bangalore Center
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Computational Neuroscience
• Neural Information Processing
• Brain Functions Modeling
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Computational Neuroscience
• Neural Information Processing
- Functional brain signals:
EEG, MEG, fMRI,
PET, SPECT
• Brain Functions Modeling
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Computational Neuroscience
• Neural Information Processing
- Functional brain imaging:
EEG, MEG, fMRI,
PET, SPECT
• Brain Functions Modeling
- Single cell modeling- Network Modeling- Population Coding
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Our Focus
• Neural Information Processing
- Functional brain imaging:
EEG (current)
fMRI (future)
• Brain Functions Modeling
- Network Modeling
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Nature of EEG
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My Most Recent Works on EEG
• Human Scalp EEG Processing: Various Soft Computing Approaches
- Submitted to Applied Soft Computing, Elsevier
• Fourier Uniformity
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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
• 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.
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Epilepsy Center of the University Hospital of Freiburg, Germany
Epilepsy Research
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Small Network Modeling
Neuron
Synapse
Astrocyte
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Enterprise for Rewards
• Enterprising behavior – Actions taken to achieve a reward.
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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?