Center of Excellence for Learning in Education, Science and Technology A National Science Foundation Science of Learning Center

Non-Conference Presentations 2013

  1. Barbas, H. (2013). Principles of cortical and subcortical connections. Invited lecture, Connectivity workshop, Vancouver, June.
  2. Barbas, H. (2013). Subcortical prefrontal pathways for flexible behavior and their disruption in psychiatric diseases. American Neuropsychiatric Association, APNA, April.
  3. Barbas, H. (2013). Cortical organization: Neuronal circuitry and microstructure. Karolinska Institute, Stockholm, Sweden, September.
  4. Barbas, H. (2013). Principles of connections in the cortex. Karolinska Institute, Stockholm, Sweden, September.
  5. Barbas, H. (2013). Cortical architecture and laminar patterns of connections: principles and models. Karolinska Institute, Stockholm, Sweden, September.
  6. Barbas, H. (2013). . Neural processing through the thalamus and basal ganglia: unique relationship with the frontal cortex. Karolinska Institute, Stockholm, Sweden, September.
  7. Barbas, H. (2013). Pathways for emotions through the prefrontal cortex. Karolinska Institute, Stockholm, Sweden, September.
  8. Barbas, H. (2013). Attentional regulation through prefrontal pathways in normal function and psychiatric diseases. Karolinska Institute, Stockholm, Sweden, September.
  9. Barbas, H. (2013). Brain circuit motifs. Institut fur Computational Neuroscience, Hamburg University, Hamburg, Germany, September.
  10. Barbas, H. (2013). Prefrontal thalamic interactions for cognition, emotion and action. University of Illinois, Urbana, Illinois, October.
  11. Brincat, S., Salazar-Gomez, A., Jia, N., Panko, M., Miller, E., and Guenther, F. (2013). Toward an eye movement-based brain-machine interface. 6th Inter-Science of Learning Center Student and Post-Dc Conference, Philadelphia, PA, February.
  12. Brincat, S., Salazar-Gomez, A., Jia, N., Panko, M., Miller, E., and Guenther, F. (2013). Development of an intracortical eye movement-based brain computer interface. Poster presentation at the 2013 NSF CELEST Site Visit, Boston, MA, October.
  13. Bullock, D. (2013). Multiple neural types of prediction errors, and multiple models for how they guide learning. CompNet Workshop on Prediction Errors in Cognitive Neuroscience, Boston University, Boston, MA.
  14. Bullock, D. (2013). Multiple neural types of prediction errors, and multiple models for how they guide learning. CompNet Workshop on Prediction Errors in Cognitive Neuroscience, Boston University, Boston, MA, July.
  15. Denovellis, E. (2013). Prefrontal contributions to feature selection and task switching. Second CELEST workshop on Adaptive Brain-Computer Interactions (ABCI), Boston, MA, June.
  16. Galbraith, B. (2013). Unlock: A Python-based framework for rapid development of practical brain-computer interface applications. First CELEST workshop on Adaptive Brain-Computer Interactions (ABCI), Boston, MA, January.
  17. Galbraith, B., Brumberg, J., Lorenz, S., Versace, M., and Guenther, F. (2013). Unlock: A Python-based framework for rapid development of practical brain-computer interface applications. Boston University Graduate Program for Neuroscience Recruitment, Boston, MA, March.
  18. Galbraith, B., Smith, D., Versace, M., and Guenther, F. (2013). Visually-guided autonomous reach control of a robotic arm using the DIRECT neural model. Boston University Graduate Program for Neuroscience Recruitment, Boston, MA, March.
  19. Gardner, T. (2013). Carbon micro-thread electrode arrays. University of Pittsburgh, April.
  20. Gardner, T. (2013). Carbon fiber electrodes for brain machine interfaces. CELEST Workshop on Adaptive Brain-Computer Interactions, Boston, MA, January.
  21. Gardner, T. (2013). Splayable microfiber electrode arrays. U.S. Provisional Patent Application No. 61/843,124.
  22. Gardner, T. (2013). Invited lecture at the Harvard Center for Brain Science, Boston, MA, December.
  23. Gardner, T. (2013). Issues in mapping models to biological mechanism: is there a "proper" level of abstraction. Janelia Farm, Ashburn, VA, May.
  24. Gorchetchnikov, A., Barnes, T., and Versace, M. (2013). Neuromorphics Lab phase I STTR award result presentation. NASA, Langley, VA.
  25. Guenther, F. (2013). Brain-computer interfaces for locked-in syndrome. Coolidge Corner Theatre Science on Screen Series, Brookline, MA, April.
  26. Guenther, F. (2013). The neural mechanisms of speech: From computational modeling to neural prosthesis. Presentation to CELEST summer interns, Boston, MA, July.
  27. Guenther, F. (2013). From bench to models to applications. 2013 NSF CELEST Site Visit, Boston, MA, October.
  28. Hasselmo, M. (2013). Cortical dynamics of memory guided behavior: Experimental and modeling perspectives. Computations in the brain and Translational Neuroscience 2013, Vytautas Magnus University, Kaunas, Lithuania, March.
  29. Hasselmo, M. (2013). Memory mechanisms in the entorhinal cortex and hippocampus: Oscillations, grid cells and acetylcholine. Okinawa Computational Neuroscience Course, June.
  30. Jia, N. and Salazar-Gomez, A. (2013). Toward an eye movement-based brain-computer interface. First CELEST workshop on Adaptive Brain-Computer Interactions (ABCI), Boston, MA, January.
  31. Johnson, C.J. and Bohland, J.W. (2013). Localizing neural representations of speech sounds. Second CELEST Workshop on Adaptive Brain-Computer Interactions (ABCI), Boston, MA, June 26.
  32. Markowitz, J. (2013). Carbon fiber electrodes for brain machine interfaces. First CELEST workshop on Adaptive Brain-Computer Interactions (ABCI), Boston, MA, January.
  33. Michalka, S. (2013). Decoding EEG response to auditory stimuli using m-sequences. Second CELEST workshop on Adaptive Brain-Computer Interactions (ABCI), Boston, MA, June.
  34. Michalka, S. (2013). Sensory modality and information domain in the lateral frontal cortex. Boston University Graduate Program for Neuroscience student seminar.
  35. Miller, E. (2013). Workshop on Oscillations, Oxford University.
  36. Miller, E. (2013). Neuroscience Seminar, Dartmouth College.
  37. Miller, P. (2013). Talk presented at the CRNCNS PI Meeting, Cambridge, MA, June.
  38. Mingolla, E. (2013). Visual depth perception from motion through texture accretion and deletion: A neural model of figure-ground segregation and occlusion. Presentation at the annual program review of the Air Force Office of Scientific Research: Computational and Machine Intelligence Program, Washington, DC, January 29.
  39. Mingolla, E. (2013). The shroud of visual attention. Invited presentation, Hewlett-Packard, Palo Alto, CA, February 15.
  40. Mingolla, E. (2013). Biologically-inspired visual flow field computation for steering and route selection. Invited colloquium, Brown University Department of Cognitive, Linguistic, and Psychological Sciences, April 5.
  41. Mingolla, E. (2013). Visual flow field computation for steering and route selection in primates. Northeastern University Engineering Symposium, Boston, MA, April 5.
  42. Nezamfar, H. (2013). Visual evoked potentials for brain-computer interfaces. First CELEST workshop on Adaptive Brain-Computer Interactions (ABCI), Boston, MA, January.
  43. Orhan, U. (2013). Online calibration and context adaptation in BCI systems. Second CELEST workshop on Adaptive Brain-Computer Interactions (ABCI), Boston, MA, June.
  44. Panko, M. (2013). Toward invasive brain-machine interfaces: Comparing long-term implant technologies using information theory. Second CELEST workshop on Adaptive Brain-Computer Interactions (ABCI), Boston, MA, June.
  45. Panko, M., Brincat, S., Salazar-Gomez, A., Jia, N., Brumberg, J., Miller, E., and Guenther, F. (2013). Comparisons of invasive chronic electrodes for brain-computer interface applications. Poster presentation at the 2013 NSF CELEST Site Visit, Boston, MA, October.
  46. Raudies, F., Eldridge, S., Joshi, A., and Versace, M. (2013). Reinforcement learning of visual navigation using distances extracted from stereo disparity or optic flow. Boston University, Department of Electrical and Computer Engineering Technical Report No. ECE-2013-1.
  47. Sherbakov, L., Livitz, G., Sohail, A., Gorchetchnikov, A., Mingolla, E., Ames, A., and Versace, M. (2013). CogEye: An online active vision system that disambiguates and recognizes objects. NeuComp 2013, Grenoble, France.
  48. Somers, D. (2013). Multiple attention networks in human fronto-parietal cortex revealed by fMRI. Massachusetts General Hospital - Brainmap.
  49. Torene, S. (2013). Adaptive decoding of eye movements using a simple recurrent artificial neural network. Second CELEST workshop on Adaptive Brain-Computer Interactions (ABCI), Boston, MA, June.
  50. Varghese, L. (2013). Classifying attentional states in complex listening situations. First CELEST workshop on Adaptive Brain-Computer Interactions (ABCI), Boston, MA, January.
  51. Versace, M. (2013). Smart robots in space. Invited lecture, Boston Museum of Science, "Mars and Beyond", Boston, MA, September.
  52. Versace, M. (2013). Intelligent machines or bust! NERF Symposium, Belgium.
  53. Wiegand, K. (2013). Language model and architecture for RSVP-iconChat. First CELEST workshop on Adaptive Brain-Computer Interactions (ABCI), Boston, MA, January.
  54. Wolfe, J. (2013). Invited lecture at the University of Arizona, January.
  55. Wolfe, J. (2013). Invited lecture, Hewlett-Packard, Palo Alto, CA, January.
  56. Wolfe, J. (2013). Invited lecture, Michigan State University, January.
  57. Wolfe, J. (2013). Invited lecture at the University of Reykjavik, Iceland, April.
  58. Wolfe, J. (2013). Invited lecture at the University of Copenhagen, April.
  59. Wolfe, J. (2013). Invited lecture at the University of Vienna, July.
  60. Wolfe, J. (2013). Invited colloquium, U Queensland, Brisbane, Australia, August.
  61. Wolfe, J. (2013). Invited colloquium, U. Sydney, Australia, August.
  62. Wolfe, J. (2013). Invited colloquium, U. New South Wales, Sydney, Australia, August.
  63. Wolfe, J. (2013). Invited colloquium, Macquarie U, Sydney, Australia, August.