All Publications

2016

Z. Chen, Grosmark, A. D., Penagos, H., and Wilson, M. A., “Uncovering representations of sleep-associated hippocampal ensemble spike activity”, Scientific Reports, vol. 6, 2016.
CBMM Funded
H. Tang, Yu, H. Y., Chou, C. C., Crone, N. E., Madsen, J., Anderson, W. S., and Kreiman, G., “Cascade of neural processing orchestrates cognitive control in human frontal cortex”, eLIFE, 2016.PDF icon Manuscript  (1.83 MB)
CBMM Funded
N. Dehghani, “Dynamic balance of excitation and inhibition in human and monkey neocortex”, Nature Scientific Reports, 2016.PDF icon BalanceExcitationInhibition.pdf (2.1 MB)
CBMM Related
C. Gómez-Laberge, Smolyanskaya, A., Nassi, J. J., Kreiman, G., and Born, R. T., “Bottom-up and Top-down Input Augment the Variability of Cortical Neurons.”, Neuron, vol. 91(3), pp. 540-547, 2016.
CBMM Funded
M. Le Van Quyen, Muller, L., Telenczuk, B., Halgren, E., Cash, S., Hatsopoulos, N., Dehghani, N., and Destexhe, A., “High-frequency oscillations in human and monkey neocortex during the wake–sleep cycle”, Proceedings of the National Academy of Sciences, 2016.PDF icon BetaGammaSleepAwakeFull.pdf (3.68 MB)
CBMM Related
S. W. Linderman, Johnson, M. J., Wilson, M. A., and Chen, Z., “A Bayesian nonparametric approach for uncovering rat hippocampal population codes during spatial navigation”, Journal of Neuroscience Methods, vol. 263, no. 1, 2016.PDF icon Journal of Neuroscience Methods (2.27 MB)
CBMM Related
W. Lotter, Kreiman, G., and Cox, D., “PredNet - "Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning" [code]”. 2016.
CBMM Related
E. Meyers, Dean, M., and Hale, G. J., “New Data Science tools for analyzing neural data and computational models”, Society for Neuroscience. 2016.
CBMM Funded
T. Miconi, Groomes, L., and Kreiman, G., “There's Waldo! A Normalization Model of Visual Search Predicts Single-Trial Human Fixations in an Object Search Task”, Cerebral Cortex, vol. 26(7), pp. 26:3064-3082, 2016.
CBMM Funded
T. Miconi, Groomes, L., and Kreiman, G., “There’s Waldo! A Normalization Model of Visual Search Predicts Single-Trial Human Fixations in an Object Search Task [code]”. 2016.
CBMM Funded
T. Miconi, Groomes, L., and Kreiman, G., “There’s Waldo! A Normalization Model of Visual Search Predicts Single-Trial Human Fixations in an Object Search Task [dataset]”. 2016.
CBMM Funded
J. Sliwa and Freiwald, W. A., “From agents to actions to interactions: Uncovering multiple social networks in the primate brain”, Society for Neuroscience. 2016.PDF icon SFN2016.pdf (555.77 KB)
CBMM Related
A. Tacchetti, Isik, L., and Poggio, T., “Spatio-temporal convolutional networks explain neural representations of human actions”, 2016.
CBMM Funded
H. Tang, Singer, J., Ison, M. J., Pivazyan, G., Romaine, M., Meller, E., Perron, V., Arlellano, M., Kreiman, G., Romaine, M., Boulin, A., Frias, R., Carroll, J., and Dowcett, S., “A machine learning approach to predict episodic memory formation”, 2016 Annual Conference on Information Science and Systems (CISS) . Princeton, NJ , pp. 539 - 544 , 2016.
CBMM Funded
H. Tang, Yu, H. - Y., Chou, C. - C., Crone, N. E., Madsen, J., Anderson, W. S., and Kreiman, G., “Cascade of neural processing orchestrates cognitive control in human frontal cortex [code]”. eLife, 2016.
CBMM Related
H. Tang, Yu, H. - Y., Chou, C. - C., Crone, N. E., Madsen, J., Anderson, W. S., and Kreiman, G., “Cascade of neural processing orchestrates cognitive control in human frontal cortex [dataset]”. eLife, 2016.
CBMM Related
H. Tang, Singer, J., Ison, M., Pivazyan, G., Romaine, M., Frias, R., Meller, E., Boulin, A., Carroll, J., Perron, V., Dowcett, S., Arlellano, M., and Kreiman, G., “Predicting episodic memory formation for movie events [code]”. 2016.
CBMM Funded
H. Tang, Singer, J., Ison, M., Pivazyan, G., Romaine, M., Frias, R., Meller, E., Boulin, A., Carroll, J., Perron, V., Dowcett, S., Arlellano, M., and Kreiman, G., “Predicting episodic memory formation for movie events [dataset]”. 2016.
CBMM Funded

2015

J. Singer, Madsen, J., Anderson, W. S., and Kreiman, G., “Sensitivity to timing and order in human visual cortex”, Journal of Neurophysiology, vol. 113, no. 5, pp. 1656 - 1669, 2015.
CBMM Related
J. P. Newman, Fong, M. -fai, Millard, D. C., Whitmire, C. J., Stanley, G. B., and Potter, S. M., “Optogenetic feedback control of neural activity.”, Elife, vol. 4, p. e07192, 2015.PDF icon elife-07192-v1-download.pdf (5.92 MB)
CBMM Related
CBMM Memo No.
040
W. Lotter, Kreiman, G., and Cox, D., “UNSUPERVISED LEARNING OF VISUAL STRUCTURE USING PREDICTIVE GENERATIVE NETWORKS”. 2015.PDF icon CBMM Memo 040_rev1.pdf (1.92 MB)
CBMM Funded
C. Fisher and Freiwald, W. A., “Whole-agent selectivity within the macaque face-processing system”, Proceedings of the National Academy of Sciences (PNAS), vol. 112, no. 47, 2015.PDF icon Authors' last version of article.  (3.1 MB)
CBMM Funded
C. M. Schwiedrzik, Zarco, W., Everling, S., and Freiwald, W. A., “Face Patch Resting State Networks Link Face Processing to Social Cognition.”, PLoS Biology, vol. 13, no. 9, p. e1002245, 2015.
CBMM Funded
F. Chen, Tillberg, P. W., and Boyden, E. S., “Expansion microscopy”, Science, vol. 347 , no. 6221 , pp. 543-548 , 2015.
CBMM Funded
R. Madhavan, Millman, D., Tang, H., Crone, N. E., Lenz, F. A., Tierney, T. S., Madsen, J., Kreiman, G., and Anderson, W. S., “Decrease in gamma-band activity tracks sequence learning”, Frontiers in Systems Neuroscience, vol. 8, 2015.PDF icon fnsys-08-00222.pdf (5.62 MB)
CBMM Related

Pages