NIAS CONSCIOUSNESS STUDIES PROGRAMME
Aditi Khatpalia

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Aditi Khatpalia is a Doctoral scholar with the NIAS Consciousness Studies Programme

Thesis Topic:
Theoretical and Experimental Investigations into Causality, its Measures, and Applications Testing of causality between two given systems is of enormous interest in a wide variety of disciplines. In neuroscience, causal interactions between different parts of a network are being used to understand functional circuits underlying perception, cognition and even consciousness. My research is focused on coming up with improved causality measures, understanding the philosophy behind the existing and proposed causal measures and developing a rigorous mathematical formalism behind how these measures work. Also, developing theory, models and experiments for testing ‘retrocausality’. This might be useful for understanding our rare conscious experiences where ‘causality’ does not hold in its conventional sense.

Publications

1. Kathpalia, A., Karabiyik, Y., Eik-Nes, S., Tegnander, E., Ekroll, I.K., Kiss, G., Torp, H (2016). Adaptive spectral envelope estimation for Doppler ultrasound. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, Volume: 63, Issue: 11, Nov. 2016, pp. -1825- 1838.

2. Kathpalia, A., Karabiyik, Y., Simensen, B., Tegnander, E., Eik-Nes, S., Torp, H., Ekroll, I.K., Kiss, G. (2015). A robust Doppler spectral envelope detection technique for automated blood flow measurements. Proceedings – 2015 IEEE International Ultrasonics Symposium (IUS), pp. 1-4.

Conference Presentations
1. Oral presentation at ‘The Science of Consciousness Conference’, San Diego, California, USA (5-10th June 2017) on ‘A New Approach to Causality based on Compression-Complexity’
2. Oral presentation at ‘BSSE Symposium on Computational Bioengineering’, IISc, Bengaluru (27-28th Jan 2017) on ‘On the Limitations of Causality Measures in Neuroscience’
3. Poster presentation at ‘IEEE International Ultrasonics Symposium 2015’, Taipei, Taiwan (21-24th Oct 2015) on ‘A robust Doppler spectral envelope detection technique’.

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