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

Peer-Reviewed Publications 2013

  1. Aoi, M., Lepage, K., Lim, Y., Eden, U., and Gardner, T. (2013). Composite ridge and skeleton method for signal estimation and denoising based on the continuous chirplet transform, in preparation.
  2. Barbas, H., Garcia-Cabezas, M., and Zikopoulos, B. (2013). Frontal-thalamic circuits associated with language. Brain and Language, 126, 49-61.
  3. Barnes, T. and Mingolla, E. (2013). A neural model of visual figure-ground segregation from kinetic occlusion. Neural Networks, 37, 141-64 doi: 10.1016/j.neunet.2012.09.011. Epub 2012 Oct 6. PubMed PMID: 23098751.
  4. Bohland, J.W., Myers, E., and Kim, E. (2013). An informatics approach to integrating genetic and neurological data in speech and language neuroscience. Neuroinformatics.
  5. Bunce, J.G., Zikopoulos, B., Fein, M., and Barbas, H. (2013). Parallel prefrontal pathways reach distinct excitatory and inhibitory systems in memory related rhinal cortices. Journal of Comparative Neurology.
  6. Buschman, T., Siegel, M., Roy, J., and Miller, E. (2013). Neural substrates of cognitive capacity limitations. Proceedings of the National Academy of Sciences, 108(27), 11252-5,2011.
  7. Buschman, T.J., Denovellis, E.L., Diogo, C., Bullock, D. and Miller, E.K. (2013). Synchronous oscillatory neural ensembles for rules in the prefrontal cortex. Neuron, 76, 838-846.
  8. Cao, B., Mingolla, E., and Yazdanbakhsh, A. (2013). A computational study of brightness-related responses in visual cortex. Journal of Vision, 13 (1):8, doi: 10.1167/13.1.8.
  9. Choi, I., Rajaram, S., Varghese, L., and Shinn-Cunningham, B. (2013). Quantifying attentional modulation of auditory-evoked cortical responses from single-trial electroencephalography. Frontiers in Human Neuroscience, 7, DOI=10.3389/fnhum.2013.00115.
  10. Dube, C., Payne, L., Sekuler, R., and Rotello, C. (2013). Paying attention to attention in recognition memory: Insights from models and electrophysiology. Psychological Science, doi: 10.1177/0956797613492426.
  11. García-Cabezas, M. and Barbas, H. (2013). A direct anterior cingulate pathway to the primate primary olfactory cortex may control attention to olfaction. Brain Structure and Function.
  12. Gold, J., Aizenman, A., Bond, S., and Sekuler, R. (2013). Memory and incidental learning for visual frozen noise sequences. Vision Research.
  13. Guitchounts, G., Markowitz J.E., Liberti W.E., and Gardner T.J. (2013). A carbon-fiber electrode array for long-term neural recording. Journal of Neural Engineering, 10;046016.
  14. Horowitz, T., Semmelmann, K., Boettcher, S., and Wolfe, J. (2013). Visual foraging: Quitting behavior when searching aerial maps follows the Marginal Value Theorem. Journal of Vision, 13(9), 1250.
  15. John, Y., Bullock, D., Zikopoulos, B., and Barbas, H. (2013). Anatomy and computational modeling of networks underlying cognitive-emotional interaction. Frontiers in Human Neuroscience, 7, Article 101, 1-26.
  16. Lee, A.K.C., Rajaram, S., Xia, J., Bharadwaj, H., Larson, E., Hämäläinen, M.S., and Shinn-Cunningham, B. (2013). Auditory selective attention reveals preparatory activity in different cortical regions for selection based on source location and source pitch. Frontiers in Neuroscience, 6, DOI=10.3389/fnins.2012.00190.
  17. Léveillé J., Myers E., and Yazdanbakhsh A. (2013). Object-centered reference frames in depth as revealed by induced motion.
  18. Lim, Y., Shinn-Cunningham, B., and Gardner, T. (2013). A temporal to spatial transformation in primary auditory cortex, in preparation.
  19. Markowitz, J. and Gardner, T. (2013). Ensemble coding of song in premotor cortex.
  20. Markowitz, J., Yoonseob, L., and Gardner, T. (2013). Cortical representation of acoustic objects.
  21. Markowitz, J.E., Ivie, E., Kligler, K., and Gardner T.J. (2013). Long-range order in canary song. PLoS Comparative Biology, 9(5), e1003052.
  22. Miller, E. and Fusi, S. (2013). Limber neurons for a nimble mind. Neuron, 78, 211-213.
  23. Miller, E.K. and Buschman, T.J. (2013). Cortical circuits for the control of attention. Current Opinion in Neurobiology, 23(2), 216-222.
  24. Miller, P. (2013). Stimulus number, duration and intensity encoding in randomly connected attractor networks with synaptic depression. Frontiers in Computational Neuroscience, 7, 59.
  25. Newmark, R., Schon, K., Ross, R., and Stern, C. (2013). Entorhinal and perirhinal cortex as a buffer for working memory: A load effect during the delay period.
  26. Newmark, R., Schon, K., Ross, R., and Stern, C. (2013). Contributions of CA1 and medial temporal lobe cortices to encoding and maintaining similar and dissimilar representations at different working memory loads.
  27. O’Sullivan, J.A., Power, A.J., Mesgarani, N., Rajaram, S., Shinn-Cunningham, B.G., Slaney, M., Shamma, S.A., and Lalor, E.C. (2013). Attentional selection in a multi-speaker environment can be decoded from single-trial EEG. Cerebral Cortex, submitted for publication.
  28. Payne, L. and Sekuler, R. (2013). On the importance of ignoring: Alpha oscillations protect selective processing.
  29. Payne, L. and Sekuler, R. (2013). On the importance of ignoring: Alpha oscillations protect selective processing. Current Directions in Psychological Science.
  30. Payne, L., Guillory, S., and Sekuler, R. (2013). Attention-modulated alpha-band oscillations protect against intrusion of irrelevant information. Journal of Cognitive Neuroscience, 25, 1463-1476.
  31. Raudies, F. (2013). Optic flow. Scholarpedia, 8(7), 30724.
  32. Raudies, F. and Neumann, H. (2013). Modeling heading and path perception from optic flow in the case of independently moving objects. Frontiers in Behavioral Neuroscience, 7:23, doi: 10.3389/fnbeh.2013.00023.
  33. Raudies, F., Eldridge, S., Joshi, A., and Versace, M. (2013). Learning to navigate in a virtual world via optic flow and stereo disparity signals. Neural Computing and Applications, submitted for publication.
  34. Raudies, F., Ringbauer, S., and Neumann, H. (2013). A bio-inspired, computational model suggests velocity gradients of optic flow locally encode ordinal depth at surface borders and globally they encode self-motion. Neural Computation, 25(9), 2421-2449.
  35. Ross, R., LoPresti, M., Schon, K., and Stern, C. (2013). Role of the hippocampus and orbitofrontal cortex during the disambiguation of social cues in working memory. Cognitive, Affective, and Behavioral Neuroscience, DOI 10.3758/s13415-013-0170-x.
  36. Roudaia, E., Sekuler, A., Bennett, P., and Sekuler, R. (2013). Aging and audio-visual and multi-cue integration in motion. Frontiers in Perception Science, 4.
  37. Schon, K., Ross, R., Hasselmo, M., and Stern, C. (2013). Complementary roles of medial temporal lobes and mid-dorsolateral prefrontal cortex for working memory for novel and familiar trial-unique visual stimuli. European Journal of Neuroscience, 37(4), 668-78. doi: 10.1111/ejn.
  38. Sherbakov, L. and Yazdanbakhsh, A. (2013). Multi-scale sampling model for motion integration. Journal of Vision.
  39. Stephen, E., Lepage, K., Eden, U., Brumberg, J., Guenther, F., and Kramer, M. (2013). Assessing dynamics, spatial scale, and uncertainty in task-related brain network analyses. Frontiers in Computational Neuroscience.
  40. van Vugt, M., Sekuler, R., and Kahana, M. (2013). An electrophysiological signature of summed similarity in visual working memory. Journal of Experimental Psychology, 142(2), 412-25. doi: 10.1037/a0029759.
  41. Vogels, T., Froemke, R., Doyon, N., Gilson, M., Haas, J., Liu, R., Maffei, A., Miller, P., Wierenga, C., Woodin, M., Zenke, F., and Sprekeler, H. (2013). Inhibitory synaptic plasticity: Spike timing-dependence and putative network function. Frontiers in Computational Neuroscience.
  42. Wolfe, J. (2013). When is it time to move to the next raspberry bush? Foraging rules in human visual search. Journal of Vision, 13(3).
  43. Wurbs J., Mingolla E., and Yazdanbakhsh, A. (2013). Modeling a space-variant cortical representation for apparent motion. Journal of Vision.
  44. Zanto, T., Sekuler, R., Dube, C., and Gazzaley, A. (2013). Age-related changes in expectation-based modulation of motion detectability. PLoS One, 8, e69766.