Pavan Ramkumar


Contact information: Currently not present at LTL.


Contents

Education

D.Sc. Tech. in Information and Computer Science (2012)

School of Science, Aalto University, Espoo, Finland
Thesis: Advances in modeling and characterization of human neuromagnetic oscillations

M.Sc. Tech. in Bioinformatics (2009)

Helsinki University of Technology, Espoo, Finland
Thesis: Modeling the dynamics of human neuromagnetic brain rhythms

B. Tech. in Electronics & Communication Engineering (2006)

Indian Institute of Technology Guwahati, India
Thesis: EEG signal acquisition, modeling, and classification for biometric applications

Research Interests

Imaging methods

EEG | MEG | fMRI

Questions

resting-state networks | natural stimulation | dynamics of brain rhythms | functional connectivity | temporal coding of low-level visual features | natural scene perception

Analysis methods

variants of ICA | Volterra kernels | generalized convolution | multivoxel pattern analysis | neuromagnetic inverse problem | source localization

Publications

Peer-reviewed journals

Ramkumar P, Parkkonen L, Hyvärinen A. 2013. Group-level spatial independent component analysis of Fourier envelopes of resting-state MEG data. Under revision.
Ramkumar P, Jas M, Pannasch S, Parkkonen L, Hari R. 2013. Feature-specific information processing precedes concerted activation in human visual cortex. J Neurosci. In Press
Hyvärinen A, Ramkumar P. 2013. Testing independent component patterns by inter-subject or inter-session consistency. Front Hum Neurosci, 7 (94).
Ramkumar P, Parkkonen L, Hari R, Hyvärinen A. 2012. Characterization of neuromagnetic brain rhythms over time scales of minutes using spatial independent component analysis. Hum Brain Mapp, 33: 1648–1662.
Hyvärinen A, Ramkumar P, Parkkonen L, Hari R. 2010. Independent component analysis of short-time Fourier transforms for spontaneous EEG/MEG analysis. Neuroimage, 49: 257–271.
Ramkumar P, Parkkonen L, Hari R. 2010. Oscillatory Response Function: Towards a parametric model of rhythmic brain activity. Hum Brain Mapp, 31: 820–834.
Malinen S, Vartiainen N, Hlushchuk Y, Koskinen M, Ramkumar P, Forss N, Kalso E, Hari R. 2010. Aberrant spatiotemporal resting-state brain activation in patients with chronic pain. Proc Natl Acad Sci USA, 107: 6493–6497.

Peer-reviewed conference proceedings

Ramkumar P, Pannasch S, Hansen BC, Larson AM, Loschky LC. 2011. How does the brain represent visual scenes? A neuromagnetic scene categorization study. 2011. Neural Information Processing Systems (NIPS) --- Workshop on Machine Learning and Interpretation in Neuroimaging, to appear
Ramkumar P, Hyvärinen A, Parkkonen L, Hari R. Characterization of spontaneous neuromagnetic brain rhythms using independent component analysis of short-time Fourier transforms. Proceedings of the 17th International Conference on Biomagnetism, April 2010, Dubrovnik. [Among top 6 submissions from graduate students]

Talks and Workshops

Spotlight talk in "Advances in the automatic analysis of multi-dimensional data", 2nd INCF Congress on Neuroinformatics, September 2009, Pilzen.
Invited participation in the Cognitive Radio Workshop, Kiasma, Museum of Contemporary Art, May 2009, Helsinki.
Invited talk in the Biomag Laboratory Seminar Series, February 2009, Helsinki.

Conference Abstracts

Hyvärinen A, Ramkumar P, Hari R. Advances in analysis of spontaneous EEG/MEG activity by independent component analysis. 29th International Congress on Clinical Neurophysiology, October 2010, Kobe.
Ramkumar P, Hyvärinen A, Parkkonen L, Hari R. Characterization of spontaneous neuromagnetic brain rhythms using spatial independent component analysis of short-time Fourier transforms. International Congress on Default Mode Network, June 2010, Barcelona.
Yokosawa K, Pamilo S, Hirvenkari L, Ramkumar P, Pihko E, Hari R. Activation of auditory cortex by anticipating and hearing emotional sounds: an MEG study. 16th Annual Meeting of the Organization for Human Brain Mapping, June 2010, Barcelona.
Nangini C, Ramkumar P, Hari R. SII neurons can phase-lock to trains of bilateral 4-Hz tactile stimuli. 16th Annual Meeting of the Organization for Human Brain Mapping, June 2010, Barcelona.
Mudigonda M, Ramkumar P, Zhu D, Stockman G, Jin R. Multivoxel pattern analysis identifies brain regions that discriminate indoor and outdoor scenes. 16th Annual Meeting of the Organization for Human Brain Mapping, June 2010, Barcelona.
Ramkumar P, Malinen S, Vartiainen N, Hlushchuk Y, Forss N, Kalso E, Hari R. Hub maps reveal reduced resting-state connectivity of insular cortex in patients with chronic pain. 16th Annual Meeting of the Organization for Human Brain Mapping, June 2010, Barcelona.
Hyvärinen A, Ramkumar P, Hari R. Selecting independent components by testing inter-subject reproducibility. 16th Annual Meeting of the Organization for Human Brain Mapping, June 2010, Barcelona.
Hyvärinen A, Zhang K, Ramkumar P, Hari R. Analyzing statistical dependencies of MEG source envelopes. 17th International Conference on Biomagnetism, April 2010, Dubrovnik.
Ramkumar P, Hyvärinen A, Parkkonen L, Hari R. Separating independent components of neuromagnetic brain rhythms by combining spatial and spectral sparseness. 17th International Conference on Biomagnetism, April 2010, Dubrovnik.
Ramkumar P, Parkkonen L. Characterization of the temporal structure of neuromagnetic rhythms using clustering and self-organizing maps. 2nd INCF Congress on Neuroinformatics, September 2009, Pilzen.
Parkkonen L, Ramkumar P, Hari R. A descriptive model of the dynamics of rhythmic brain activity. 1st INCF Congress on Neuroinformatics, September 2008, Stockholm.
Hyvärinen A, Parkkonen L, Ramkumar P, Hari R. A new method for unsupervised analysis of spontaneous MEG/EEG data: Combination of projection pursuit and parallel factor analysis. 1st INCF Congress on Neuroinformatics, September 2008, Stockholm.
Hyvärinen A, Parkkonen L, Ramkumar P, Hari R. Finding 'interesting' frequency bands in MEG using an unsupervised learning approach. 16th International Conference on Biomagnetism, August 2008, Sapporo.
Ramkumar P, Parkkonen L, Hari R. Oscillatory Response Functions: Towards a parametric model of rhythmic activity. PENS Spring School: Models in Neuroscience, April 2008, St. Petersburg.
Ramkumar P, Parkkonen L, He B, Raichle M, Hämäläinen M, Hari R. Identification of stimulus related and intrinsic networks by spatial independent component analysis of MEG signals. Society for Neuroscience, November 2007, San Diego.
Ramkumar P, Parkkonen L, Hari R. Independent component analysis of neuromagnetic data reveals extrinsic and intrinsic cortical networks during natural stimulation. Nordic Neuroinformatics meeting, October 2007, Helsinki.
Singhal GK, Ramkumar P. Person Identification using evoked potentials and peak matching. Biometrics Symposium, September 2007, Baltimore.
Ramkumar P, Singhal GK, Dandapat S. EEG Correlates of highly cognitive mental tasks for closed-set biometric authentication. International Biometric Conference, July 2006, Montreal.

Previous Research Experience

Aug. 2005 – May 2006

Dept. of Electronics and Communication Engineering, Indian Institute of Technology, Guwahati, INDIA
EEG Signal Acquisition, De-Noising and Classification for Biometric Applications
Advisor: Dr. S. Dandapat, Associate Professor, Electronics and Communication, IIT Guwahati

May – July 2005

Institute of Computer Graphics and Vision, Technische Universität, Graz, AUSTRIA
Dynamic Stereo-Visual Servoing of a MITSUBISHI 6-DOF Robot
Advisor: Univ. Prof. Horst Bischof, Professor, Institute of Computer Graphics and Vision, TU Graz, Austria

May – July 2004

Computer Vision and Image Processing Lab, Indian Institute of Science, Bangalore, INDIA
Stereo Camera Calibration and Hand Eye Co-ordination of a RHINO XR-3 Robot
Advisor: Prof. Y.V. Venkatesh, Professor, Electrical Engineering and Dean, Faculty of Engineering, IISC Bangalore