Research Publications
My research interests involve (1) the use of multiple imaging methods and computational tools to study information flow in neuronal (brain) networks supporting cognitive information processing, and (2) the research and development of (wearable) Brain-Computer Interface technology. I've led (or contributed to) a range of research projects intersecting the fields of Computational Neuroscience, Machine Learning, Brain-Computer Interfaces, and Human-Computer Interaction (namely, Context-Aware Computing and Ubiquitous Computing).



DOCTORAL DISSERTATION

Mullen, T. R. The dynamic brain: Modeling neural dynamics and interactions from human electrophysiological recordings (Order No. 3639187). 2014. Available from Dissertations & Theses @ University of California; ProQuest Dissertations & Theses A&I. (1619637939). Retrieved from 
http://search.proquest.com/docview/1619637939?accountid=14524

Thesis high res (64 MB) (recommended)
Thesis low res (7 MB)
Supplementary Material (3 MB)

Awarded UCSD Chancellor's Dissertation Medal.



PUBLICATIONS

* authors contributed equally


PAPERS

Peer-Reviewed:

2017

Garcia JO, Brooks J, Kerick S, Johnson T & Mullen TR, Vettel JM, (2017) Estimating direction in brain-behavior interactions: Proactive and reactive brain states in driving. Neuroimage. 2017 Apr 15;150:239-249.
 

Courellis, H., Mullen, T. Poizner, H., Cauwenberghs, G., and Iversen, J. R. (2017). EEG-Based Quantification of Cortical Current Density and Dynamic Causal Connectivity Generalized across Subjects Performing BCI-Monitored Cognitive Tasks. Frontiers in Neuroscience, vol. 11. p. 180, 2017.

2016

Ball, K., Bigdely-Shamlo, M., Mullen T., and Robbins, K. (2016) PWC-ICA: A Method for Stationary Ordered Blind Source Separation with Application to EEG. Computational Intelligence and Neuroscience.


Hsu, S-H.*, Mullen, T.,* Jung, T-P, Cauwenberghs, G. (2016). Online Recursive Independent Component Analysis for Real-time Source Separation of High-density EEG. IEEE Trans. Neural Rehab. and Sys. Eng.


2015

Mullen, T.*, Kothe C.*, Chi. M., Ojeda, A., Kerth, T., Makeig, S., Jung, T-P., Cauwenberghs, G. (2015). Real-time Neuroimaging and Cognitive Monitoring Using Wearable Dry EEG. IEEE Transactions on Biomedical Engineering. Special Issue on Wearable Technologies. 2015 Nov;62(11):2553-67. DOI: 10.1109/TBME.2015.2481482.

Mullen, T., Khalil, A., Ward, T., Iversen, J., Leslie, G., Warp, R., Whitman, M., Minces, V., McCoy, A., Ojeda, A., Bigdely-Shamlo, N., Chi, M., and Rosenboom, D. (2015) MindMusic: Playful and Social Installations at the Interface Between Music and the Brain. In A. Nijholt (Ed.). More Playful User Interfaces. Interfaces that Invite Social and Physical Interaction. Series: Gaming Media and Social Effects. ISBN 978-981-287-545-7, ISBN 978-981-287-546-4 (eBook), 2015, XII, 247 p. 112 illus., 106 illus. in color, May 2015. DOI: 10.1007/978-981-287-546-4  (pdf)

Bigdelys Shamlo N, Mullen T, Kothe C, Su K and Robbins KA (2015). The PREP Pipeline: Standardized preprocessing for large-scale EEG analysis. Front. Neuroinform. 9:16. DOI: 10.3389/fninf.2015.00016.


Hsu, S-H, Mullen, T., Jung, T-P, Cauwenberghs, G. (accepted, 2015) Validating Online Recursive Independent Component Analysis on EEG Data. IEEE EMBS Conference.

2014

Rapela, J., Kostuk, M., Rowat, P., Mullen, T., Bouchard, K., Chang, E. Characterizing Neural Activity at the Ensemble Level. (2014). BRAIN Grand Challenges Conference. Washington D.C.


Iversen, J.R., Ojeda, A., Mullen, T., Plank, M., Snider, J., Cauwenberghs, G., Poizner, H. (2014). Causal analysis of cortical networks involved in reaching to spatial targets. 36th Annual International IEEE EMBS Conference.


Hsu, S-H.*, Mullen, T*., Jung, T-P, Cauwenberghs, G. (2014). Online Recursive Independent Component Analysis for Real-time Source Separation of High-density EEG. 36th Annual International IEEE EMBS Conference. 


Zao JK, Gan T, You C, Rodríguez Méndez S, Chung C, Wang Y, Mullen T, Kothe C, Yu C, Hsiao C, Chu S, Shieh C and Jung T-P (2014). Pervasive Brain Monitoring and Data Sharing based on Multi-tier Distributed Computing and Linked Data Technology. Front. Hum. Neurosci. 8:370. DOI: 10.3389/fnhum.2014.00370


Zao, J.K., Gan, T-T., You, C-K., Méndez, S.J.R., Chung, C-E., Wang, Y-T., Mullen, T., Jung. T-P. (accepted, May 2014) Augmented Brain Computer Interaction based on Fog Computing and Linked Data. IEEE Intelligent Environment Conference (IE'14). Shanghai, China


Broccard, F., Mullen, T., Chi, Y.M., Peterson, D., Iversen, F., Arnold, M., Kreutz-Delgado, K., Jung, T-P., Makeig, S., Poizner, H., Sejnowski, T., Cauwenberghs, G. (2014). Closed-loop Brain-Machine-Body Interfaces for Noninvasive Rehabilitation of Movement Disorders. Annals of Biomedical Engineering. 2014 Aug;42(8):1573-93. doi: 10.1007/s10439-014-1032-6


Velu, P., Mullen, T., Noh, E., Valdivia, M., Poizner, H., Baram, Y., de Sa, V. (2014) Effect of visual feedback on the occipital-parietal-motor network in Parkinson's disease with freezing of gait. Frontiers In Neurology 4:209. eCollection 2014. DOI: 10.3389/fneur.2013.00209.


2013

Mullen, T.*Kothe, C.* Chi, Y.M., Ojeda, A., Kerth, T., Makeig, S., Cauwenberghs, G., Jung, T-P. (2013) Real-Time Modeling and 3D Visualization of Source Dynamics and Connectivity Using Wearable EEG. 35th Annual International Conference of the IEEE Engineering in Biology and Medicine Society. DOI: 10.1109/EMBC.2013.6609968 (pdf)
Best Paper Award Winner; International Neurotechnology Consortium Meeting, EMBC 2013. 

Miyakoshi, M., Delorme, A., Mullen, T., Kojima, K., Makeig, S., Asano, E. (2013) Automated detection of cross-frequency coupling in the electrocorticogram for clinical inspection. 35th Annual International Conference of the IEEE Engineering in Biology and Medicine Society. DOI: 10.1109/EMBC.2013.6610242


Bigdely-Shamlo, N., Mullen, T., Kreutz-Delgado, K., Makeig, S. (2013) Measure projection analysis: A probabilistic approach to EEG source comparison and multi-subject inference. NeuroImage. Vol. 72, 15 May 2013, pp. 287-303. DOI: 10.1016/j.neuroimage.2013.01.040

2012

Mullen, T., Worrell, G., Makeig, S. (2012) Multivariate Principal Oscillation Pattern Analysis of ICA Sources During Seizure. IEEE Engineering in Biology and Medicine, pp. 2921-2924. DOI: 10.1109/EMBC.2012.6346575 (pdf)

Makeig, S.*, Kothe, C.*, Mullen, T.*, Bigdely-Shamlo, N., Zhang, Z., Kreutz-Delgado, K (2012). Evolving Signal Processing for Brain-Computer Interfaces. Proceedings of the IEEE , vol.100, no.Special Centennial Issue, pp.1567-1584. DOI: 10.1109/JPROC.2012.2185009 

2011

Makeig, S., Leslie, G., Mullen, T., Sarma, D., Bigdely-Shamlo, N., and Kothe, C (2011) Brain Dynamics of Affective Engagement in a Musical Emotion BCI. Affective Computing and Intelligent Interaction. Lecture Notes in Computer Science. Vol. 6975. pp. 487-496. Springer. DOI: 10.1007/978-3-642-24571-8_6.

Mullen, T., Akalin Acar, Z., Worrell, G., Makeig, S. (2011) Modeling Cortical Source Dynamics and Interactions During Seizure. IEEE Engineering in Biology and Medicine. pp. 1411-1414. DOI: 10.1109/IEMBS.2011.6090332

Leslie, G.* and Mullen, T.*, (2011) MoodMixer: EEG-based Collaborative Sonification. Proceedings of the International Conference on New Interfaces for Musical Expression. Ed. A.R. Jensenius, A. Tveit, R.I. Godøy, D. Overholt. pp. 296-299. ISBN: 978-82-991841-7-5. (pdf)

Mullen, T., Warp, R., Jansch, A (2011) Minding the (Transatlantic) Gap: An Internet-Enabled Acoustic Brain-Computer Music Interface. Proceedings of the International Conference on New Interfaces for Musical Expression. Ed. A.R. Jensenius, A. Tveit, R.I. Godøy, Dan Overholt. pp 469-472. ISBN: 978-82-991841-7-5. (pdf)

Delorme, A., Mullen, T., Kothe C., Akalin Acar, Z., Bigdely Shamlo, N., Vankov, A., Makeig, S. (2011) EEGLAB, SIFT, NFT, BCILAB, and ERICA: New tools for advanced EEG/MEG processing. Computational Intelligence and Neuroscience vol. 2011, Article ID 130714, 12 pages. DOI:10.1155/2011/130714


Published Reports (not peer-reviewed):

Mullen, T.R., (2010) The Source Information Flow Toolbox (SIFT): An Electrophysiological Information Flow Toolbox for EEGLAB. Theoretical Handbook and User Manual. Masters Project. www.sccn.ucsd.edu/wiki/SIFT.

Mullen, T., Huang, Q., Reich, J. Towards Ubiquitous Brain-Aware Computing: A Preliminary EEG Study (2007). PARC technical report (pdf)


Published papers which I've edited or contributed analysis

Bin, G.; Gao, X.; Wang, Y.; Hong, B.; Gao, S., (2009) VEP-based brain-computer interfaces: time, frequency, and code modulations [Research Frontier]. Computational Intelligence Magazine, IEEE , vol.4, no.4, pp.22-26


Padilla, M., Hale, L., Wood, R., & Knight, R. T. (2006) Lapses in a prefrontal-extrastriate preparatory attention network predict mistakes. Journal of Cognitive Neuroscience.18:1477-1487. (Pubmed Link)


Fuhrmann Alpert, G., Sun, F. T., Handwerker, D., D'Esposito, M., & Knight, R. T. (2007) Information Analysis of Event-Related BOLD Responses. NeuroImage. 34 (4) 1545-1561. (Pubmed Link)



ABSTRACTS

2015

Garcia, J.O., Vettel, J.M., Kerick, S.E., Johnson, T., Bigdely-Shamlo, N., & Mullen, T. (2015). Predicting continuous behavioral measures with network connectivity dynamics in a complex visuo-motor task. Human Brain Mapping 2015. (to appear)

Vettel, J.M., Garcia, J.O, Mullen, T., Kerick, S.E., Bird, C., McDowell, K., Tarr, M.J., Curran, T.  (2015) Brain networks during multisensory integration of real-world audiovisual events. Human Brain Mapping 2015. (to appear)

S.-H. Hsu, T. Mullen, T.-P. Jung, and G. Cauwenberghs, (2015) "Validating Online Recursive Independent Component Analysis on EEG Data," Poster, IEEE EMBS Conf. Neural Engineering, Montpellier, France, 2015. (to appear)

Ball, K., Bigdely-Shamlo, N., Mullen, T., Robbins, K.  (2015) PWC-ICA: A Method for Ordered Blind Source Separation with Application to EEG. Brain-Computer Interaction Technologies Workshop. March 10-11, 2015. Aberdeen, MD.

2014

S.-H. Hsu, T. Mullen, T.-P. Jung, and G. Cauwenberghs, (2014) “Online recursive independent component analysis for real-time source separation of high-density eeg,” Oral Presentation, IEEE EMBC, Chicago, IL, 2014.

2013

Miyakoshi, M., Rissling, A.J., Mullen, T., Bigdely-Shamlo, N., Langton, S., Braff, D.L., Light G.A., Makeig, S. (2013) Cortical EEG information flow in schizophrenics and controls during resting state. Program No. 253.18/EE10 2013 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience, 2013. Online.

Mullen, T.*, Kothe, C.* Chi, Y.M., Ojeda, A., Kerth, T., Makeig, S., Cauwenberghs, G., Jung, T-P. (2013) Real-Time Estimation and 3D Visualization of Source Dynamics and Connectivity Using Wearable EEG. Fifth International Brain-Computer Interface Meeting. Asilomar Conference Center, Pacific Grove, CA. DOI: 10.3217/978-3-85125-260-6-106Winner, Best Poster Award for Technical Merit. (pdf)

2012

Chukoskie, L., Mullen, T., Bodenhamer, J.R., Brockelhurst, W.T., Lam, C., Wedeen, M., Townsend, J., Westerfield, M.A. (2012) Characterizing network interactions in EEG sources during saccade tasks. Society for Neuroscience Conference. New Orleans, LA, USA (interactive poster) (pdf)

Mullen, T., Kothe, C., Chi, Y.M., Jung, T-P., Makeig, S (2012). Real Time Estimation and 3D Visualization of Sparse Multivariate Effective Connectivity Using Wearable EEG. IEEE EMB/CAS/SMC Workshop on Brain-Machine-Body Interfaces. IEEE Engineering in Biology and Medicine, 2012 (Live demonstration, 1-page whitepaper). Runner up, Best Demo Award. (pdf)

Mullen, T., Delorme. A., Makeig, S. (2012) The Source Information Flow Toolbox 1.0 for EEGLAB. Human Brain Mapping Conference. Beijing, China. (pdf)

Mullen, T., Worrell, G., Makeig, S. (2012) Multivariate Principal Oscillation Pattern Analysis of ICA Sources During Seizure. IEEE Engineering in Biology and Medicine Conference 2012. San Diego, CA (pdf)

2011

Mullen, T., Akalin Acar, Z., Palmer, J., Worrell, G, Makeig, S (2011). Analysis of neuronal source dynamics and connectivity during seizure using adaptive vector autoregressive models, sparse bayesian learning, independent component analysis, and electrocorticography. Front. Hum. Neurosci. Conference Abstract: XI International Conference on Cognitive Neuroscience (ICON XI). doi: 10.3389/conf.fnhum.2011.207.00069 (pdf)

Thompson, W., Mullen, T., Makeig, S., (2011) A Bayesian spatiotemporal model for multi-subject EEG source dynamics and effective connectivity. Front. Hum. Neurosci. Conference Abstract: XI International Conference on Cognitive Neuroscience (ICON XI). doi: 10.3389/conf.fnhum.2011.207.00074 (pdf)

2010

Mullen, T., Makeig, S. (2010) An electrophysiological information flow toolbox for EEGLAB. Society for Neuroscience Conference, San Diego, CA

Thompson, W., Ombao H., Mullen, T., Onton., J., Makeig, S. (2010) A bayesian model for EEG frequency-domain functional connectivity. Human Brain Mapping. Barcelona, Spain 

Thompson, WK, Mullen, T., Motta, G., Ombao, H., (2010) Spatiotemporal Factor Analysis of EEG Evolutionary Latent Sources. Human Brain Mapping, Barcelona, Spain.

Mullen, T., Onton, J., Delorme, A., Thompson, W., Makeig, S.  (2010) Analysis and visualization of theta-band information flow dynamics in an ERN-producing task. Human Brain Mapping. Barcelona, Spain and Sloan-Swartz Annual Meeting. New Haven, CT (pdf)

2009

Mullen T,* Swann N,* Tandon N, Ellmore T, DiSano M, Dreyer S, Aron AR. (2009) Using Granger-causal techniques and intracranial EEG to examine directed information flow in a cortical network for stopping action. Poster. Society for Neuroscience Conference. Chicago, IL. (pdf)

Velu, P., Hammon, P., Mullen, T., de Sa, V.  (2009) Dissociating visual response and motor preparation for reach prediction from EEG. Poster. Society for Neuroscience Conference. Chicago, IL.

2008

Bastos, A.,* Mullen, T.,* Canolty, R., Pasley, B., Knight, R., Freeman, R. (2008)
SSVEP-based Single-Trial Classification of Attention. Poster. Cognitive Neuroscience Society Conference, San Francisco, CA. (pdf)

2007

Fuhrmann, G.,* Mullen T.,* Suppiah, S., Soltani, M., Edwards E., Canolty, R., Sarang, D., Kirsch, H., Barbaro, N., Knight, R.T. (2007) Functional Connectivity and Information Flow in the Human Brain during Language Processing: Evidence from ECoG data. Poster. Cognitive Neuroscience Society Conference, New York, N.Y. (pdf)

2006

Mullen, T., Huang, Q., Reich, J. (2006) Project Halo: Enabling Ubiquitous Brain-Aware Computing. Poster. PARC Annual Poster Session. Palo Alto, CA.

Mullen, T., Bolton, J., Jian, S., Martinez , A. (2006) NEEDster: Need-based Exchange Enhancement Device. Prototype Exhibition, Talk, and Poster. UC Berkeley HCI Poster Session (pdf)

2005

Padilla, M.L., Mullen T.R., & Knight R.T. (2005) Differential contributions of lateral and orbitofrontal cortex to preparatory attention and action monitoring. Symposium Talk & Poster. Society for Neuroscience Conference, Washington D.C.

 

SELECTED TALKS and DEMONSTRATIONS

Invited Talks

Mullen, T.R. (July 26, 2106) Your Brain on Music: Exploring the impact of music on our brains, health, and lives. 2016 International Conference Mobile Brain-Body Imaging and the Neuroscience of Art, Innovation, and Creativity. Cancun, Mexico.

Mullen, T.R. (June 1, 2016) MindMusic: Playful and Social Installations at the Interface Between Music and the Brain. Workshop on BCIs for Artistic Expression. Fifth International Brain-Computer Interface Meeting. Asilomar, Pacific Grove, CA

Mullen, T.R. (Jan, 11, 2016). Brain Computer Interfaces: Present and Future. IEEE International Conference on Consumer Electronics. Keynote Address. CES 2016, Las Vegas, USA.

Mullen, T.R. (Jan 9, 2016). Q&A panel with IEEE Young Professional Society on the state of Brain Computer Interfaces and Consumer Neurotechnology. CES 2016, Las Vegas, USA

Mullen, T.R. (Jan 27, 2016). Towards Pervasive Real-World Neuroimaging and BCI. Workshop on Neurotechnology for Decision-Making in the Real World. Vlaardingen, Netherlands.

Mullen, T.R. (Oct. 5, 2015). Real-world neuroimaging and cognitive monitoring. National Chiao Tung University, Brain Research Center, Taiwan.

Mullen, T.R. (Oct. 1, 2015). Into the wild: towards real-world mobile neuroimaging and cognitive monitoring.  Invited Focused Lecture. BrainConnects International Meeting 2015, Nagoya University, Japan.

Mullen. T.R. (Sept 17-18, 2015). The State of Neurotechnology and Creative Applications. ISAT / DARPA Hacking Creativity Workshop. Red Bull High Performance, Santa Monica, CA, USA.

Mullen, T.R. (Sept. 24-26, 2014). Invited Faculty member. "Imaging the Mind" international PhD programme. University of Salzburg, Austria.

Mullen, T.R. (Sept. 10-13 2014). Mini-workshop on brain modeling. World Congress of the International Brain Research Organization (IBRO), Buzios, Rio de Janeiro, Brazil.

Mullen, T., (July 1, 2014). EEG Analytic Tools.  DARPA BrainFlight Workshop. Johns Hopkins University Applied Physics Laboratory.

Live Demonstration (March 27, 2014)NeuroDrummer and The Glass Brain. GPU Technology Conference. Keynote Address (Adam Gazzaley).

Mullen, T., Kothe, C., Konings, O., Gazzaley, A. (March 26, 2014). Real-Time Functional Brain Imaging: How GPU Acceleration Redefines Each Stage. GPU Technology Conference. GTC 2014 - ID S4633. (video).

Mullen, T.R. (August 14-18, 2013) Lectures on Time-Frequency Analysis and Dynamical Systems Analysis, SIFT miniworkshop. Seventeenth EEGLAB Workshop. San Diego, USA.

Mullen, T.R. (2013) Real-Time Estimation and 3D Visualization of Source Dynamics and Connectivity Using Wearable EEG. 2013 Sloan-Swartz Computational Neuroscience Meeting. Brandeis University. Boston, MA, USA.

Mullen, T.R. (June 17-21, 2013) Lectures on Time-Frequency Analysis and Connectivity Analysis. Sixteenth EEGLAB Workshop. Aspet, France.

Mullen, T., Kothe, C. Chi, Y.M., Ojeda, A., Kerth, T., Makeig, S., Cauwenberghs, G., Jung, T-P. (2013) Modeling Source Dynamics and Connectivity Using Wearable EEG. Invited minisymposium talk and 1-page paper. 35th Annual International Conference of the IEEE Engineering in Biology and Medicine Society (IEEE EMBC). Osaka, Japan.

Mullen, T., Kothe, C. Chi, Y.M., Ojeda, A., Kerth, T., Makeig, S., Cauwenberghs, G., Jung, T-P. (2013) Modeling Source Dynamics and Connectivity Using Wearable EEG. Invited talk. Fifth International Brain-Computer Interface Conference. Asilomar Conference Grounds. Carmel, CA, USA.

Mullen, T.R. (April, 2013) The Dynamic Brain: Modeling Neural Dynamics and Interactions from M/EEG. Invited Keynote Lecturer. Russian Postgraduate Training Network in Biotechnology of Neurosciences (BioN). Methodological School 2013: Methods of data processing in EEG and MEG. Applied aspects of magneto- and electroencephalographic neuroimaging. Moscow, Russia

Mullen, T. (August, 2012) The Source Information Flow Toolbox for EEGLAB. Invited Symposium Talk in “Studying the brain as a network using MEG: practical considerations.” 18th International Conference on Biomagnetism. Paris, France.

Mullen, T.R. (July 26, 2012) Lectures on EEG analysis: Basic EEG biophysics, forward and inverse methods for source identification, spectral decompositions and methods for modeling functional and effective connectivity. Workshop on Developing Novel Statistical Methods in NeuroImaging. Joint Statistical Meeting 2012. San Diego, CA. (honorarium awarded)

Mullen, T.R. (June 16-18, 2012) Lectures on Time-Frequency Analysis and Connectivity Analysis. Fifteenth EEGLAB Workshop, Tsinghua University. Beijing, China.

Mullen, T.R. (April, 2012). Vector autoregressive and state-space representations of electrophysiological dynamics and information transfer: theory and applications in the Source Information Flow Toolbox for EEGLAB. NeFF Symposium on Non-linear and Model-free Interdependence Measures in Neuroscience. Max Planck Institute / Goethe University. Frankfurt, Germany.

Mullen, T.R. (Nov 30 - Dec 2, 2011) Lecture series on Advanced EEG Signal Processing. Basque Center for Cognition Brain and Language (BCBL). Donostia/San Sebastian, Basque Autonomous Community.

Mullen, T.R., Akalin Acar, Z., Palmer, J. (2011) Spatiotemporal Dynamics and Interactions in Intracranial EEG. 2011 Sloan-Swartz Computational Neuroscience Meeting. HHMI Janelia Farm Research Campus. Ashburn, VA, USA.

Mullen, T.R. (2011) Modeling multivariate EEG source information flow using adaptive vector autoregressive models. Symposium Talk. Symposium on EEG advanced signal processing. Aspet, France

Mullen, T.R. (2011) Analyzing oscillatory EEG/ECoG source dynamics and interactions using the Source Information Flow Toolbox (SIFT). Fourteenth International EEGLAB workshop. ICON XI. Mallorca, Spain.

Mullen, T.R. (2011) Time-Frequency Analysis, Information Flow, and Granger-Causality. Lecture. Thirteenth International EEGLAB workshop. Aspet, France.

Mullen, T.R. (2010) Modeling Distributed Brain Network Dynamics. Lecture. Twelfth International EEGLAB workshop. UC San Diego, La Jolla, CA, USA (video)

Mullen, T.R. (2010) Modeling effective connectivity by measuring EEG information flow. Lecture. Tenth International EEGLAB workshop. Jyvaskyla, Finland. 

Mullen, T.R. (2010) Information Flow Analysis in EEG. Invited Symposium Talk. Society for Psychophysiological Research. Portland, OR, USA. 


Other Selected Talks and Demonstrations

Mullen, T.R. (October 11, 2014). Panelist. The Future Is Now—Mind Controlled Interactive Music. 137th International meeting of the Audio Engineering Society (AES 2014). Los Angeles, CA.

Mullen, T. (April 7, 2014). Advanced EEG Research Initiatives. Institute for Human and Machine Cognition.

Mullen, T., Kothe, C., Konings, O., Gazzaley, A. (March 26, 2014). Real-Time Functional Brain Imaging: How GPU Acceleration Redefines Each Stage. GPU Technology Conference. GTC 2014 - ID S4633.

SXSW Interactive: Virtual Reality Meets Neuroscience (with Second Life founder Philip Rosedale and UCSF neuroscientist Adam Gazzaley. Demo. Scheduled: Mar 10, 2014, 1:30:00 PM to 2:30:00 PM

SXSW Music: Rhythm and the Brain (with Grateful Dead drummer Mickey Hart and UCSF neuroscientist Adam Gazzaley). Demo. Scheduled: Mar 13, 2014, 12:30:00 PM to 1:30:00 PM

Mullen, T. (Feb 21, 2014) Into the wild: Towards real-time mobile brain imaging, dynamical modeling, and cognitive state prediction. Guest Lecture. COGS 200. UC San Diego.

Mullen, T., Kothe, C. Chi, Y.M., Ojeda, A., Kerth, T., Makeig, S., Cauwenberghs, G., Jung, T-P. (October, 2013) Real-Time Modeling, Classification, and 3D Visualization of Neuronal Source Dynamics and Connectivity Using High-Density Wearable EEG. Institute for Neural Computation Chalk Talk Series. UC San Diego, CA.

Akalin Acar, Z., Mullen, T., Worrell, G., Makeig, S (August, 2012). Modeling electrocortical source dynamics in epilepsy. Minisymposium paper. IEEE EMBS Conference. San Diego, CA, USA.

Mullen, T., Akalin Acar, Z., Worrell, G., Makeig, S. (March, 2012) Spatiotemporal Modeling of Cortical Source Dynamics and Interactions in Epileptic Seizure. Institute for Neural Computation Chalk Talk Series. UC San Diego, CA.

Mullen, T., Akalin Acar, Z., Worrell, G., Makeig, S. (2011) Modeling Cortical Source Dynamics and Interactions During Seizure. Oral Presentation. IEEE Engineering in Biology and Medicine. Boston, MA.



PATENTS

Mullen, T. and Huang, Q. (2007) Brainwave-Facilitated Presenter Feedback Mechanism. USPTO Patent Application 20090143695 (patent pending)


Mullen, T. and Huang, Q. (2007) Brainwave-Aware Sleep Management. United States Patent 7689274



MISCELLANEOUS UNPUBLISHED REPORTS


Mullen, T., Talbott, W. (2008) Probabilistic classification of EEG signals using Symbolic Aggregate Approximation and Latent Dirichlet Allocation. CS250B : Statistical Machine Learning (Prof. Charles Elkan). UC San Diego (pdf)

Mullen, T. (2007) Functional Connectivity and Information Flow in ECoG Data: A Linear Approach. STAT153: Time-Series Analysis (Prof. David Brillinger). UC Berkeley (pdf)

Mullen, T., Bolton, J., Jian, S., Martinez , A. (2006) NEEDster: Need-based Exchange Enhancement Device. Prototype Exhibition, Talk, and Poster. CS160 : User Interface Design (Prof. John Canny). UC Berkeley (jpg)


Mullen, T.  (2006) Dynamic Identification of Focal Cluster ROIs Using Time-lagged Mutual Information. CS182: Neural Basis of Thought and Language (Prof. Srini Narayanan). UC Berkeley (pdf)


Mullen, T.  (2006) ICA-based Identification of Overlapping Spatial Clusters in ECoG Data. VS298: Neural Computation (Prof. Bruno Olshausen). UC Berkeley (pdf)



EDITORIAL ACTIVITIES

I have served as an ad hoc reviewer for the following scientific publications:

Journals:

  • Journal of Computational Neuroscience
  • Neural Computation
  • Journal of Neuroscience
  • NeuroImage
  • Brain Connectivity
  • IEEE Transactions in Biomedical Engineering
  • Frontiers in Neuroinformatics
  • Journal of Neural Engineering
Conferences:
  • IEEE Biomedical Circuits and Systems Conference 2012
  • aBCI Workshop at Affective Computing and Intelligent Interaction 2015
  • BCMI Workshop at ICCMR 2015

Books:

  • Toward Practical BCIs: Bridging the Gap from Research to Real-World Applications (2012,Springer)
  • More Playful User Interfaces (2015, Springer).

COMMITTEE and ADVISORY BOARD SERVICE

Member of Consumer Technology Association (CTA/CEA) working group R6.4 WG3 on standards for Consumer EEG Data and Interoperability. 2015-present

Member of Army Science Planning and Strategy Meeting on Individualizing Technology for Effective Teaming. Dec, 2015.

Advisory Board Member for the Future Brain/Neuronal Computer Interaction (FBNCI) research initiative (http://future-bnci.org/) developed un
der the Seventh Framework Programme [FP7/2007-2013] of the European Union.

Program Committee member for the 4th Workshop on Affective Brain-Computer Interfaces (aBCI) at Affective Computing and Intelligent Interaction 2015 (September 21-24), Xi'an, China. http://www.affective-sciences.org/aBCI2015

Program Committee member for the 1st International Workshop on Brain Computer Music Interfaces at ICCMR, Plymouth University, UK, June 15th, 2015. http://cmr.soc.plymouth.ac.uk/bcmi2015/

Committee Member, Center for Responsible Brainwave Technologies (CeReB).  http://www.responsiblebraintech.org/

Advisor for the Transformative Technology Lab, Sophia University, Palo Alto, CA. http://transtechlab.org/



 Copyright (c) 2009 Tim Mullen