Publications

CBMM Memos were established in 2014 as a mechanism for our center to share research results with the wider scientific community. Click here to read more about the memos and to see a full list of the memos.

Videos
Support Us

Publication

Search

Show only items where

Author

Type

Term

Year

Keyword

Found 906 results

] Title Type Year

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

S

Singer, J. & Kreiman, G. Short temporal asynchrony disrupts visual object recognition. (2014). at <http://klab.tch.harvard.edu/resources/singer_asynchrony.html>

Singer, J. & Kreiman, G. Short temporal asynchrony disrupts visual object recognition. Journal of Vision 12, (2014).

Singer, J. & Kreiman, G. Short temporal asynchrony disrupts visual object recognition. (2014). at <http://klab.tch.harvard.edu/resources/singer_asynchrony.html>

Singer, J. & Kreiman, G. Short temporal asynchrony disrupts visual object recognition. J Vis 14, 7 (2014).

Singer, J., Madsen, J., Anderson, W. S. & Kreiman, G. Sensitivity to Timing and Order in Human Visual Cortex. (2014).

CBMM-Memo-005.pdf (1.12 MB)

Sikarwar, A. & Kreiman, G. On the Efficacy of Co-Attention Transformer Layers in Visual Question Answering. arXiv (2022). doi:10.48550/arXiv.2201.03965

On_the_Efficacy_of_Co-Attention_Transformer_Layers.pdf (35.54 MB)

Siegle, J. H., Hale, G. J., Newman, J. P. & Voigts, J. Neural ensemble communities: open-source approaches to hardware for large-scale electrophysiology. Current Opinion in Neurobiology 32, 53 - 59 (2015).

Siddharth, N., Barbu, A. & Siskind, J. Mark. Seeing what you're told, sentence guided activity recognition in video. Appeared at CVPR (2014).

poster-1701.pdf (4.61 MB)

Siddharth, N., Barbu, A. & Siskind, J. Mark. Seeing What You’re Told: Sentence-Guided Activity Recognition In Video. (2014).

CBMM-Memo-006.pdf (1.2 MB)

Siddharth, N., Barbu, A. & Siskind, J. Mark. Seeing What You’re Told: Sentence-Guided Activity Recognition In Video. CVPR (IEEE, 2014).

Publication (453.54 KB)

Shu, T. et al. AGENT: A Benchmark for Core Psychological Reasoning. Proceedings of the 38th International Conference on Machine Learning (2021).

Shrobe, H., Katz, B. & Davis, R. Towards a Programmer's Apprentice (Again). (2015).

CBMM-memo-030.pdf (294.27 KB)

Sheskin, M. et al. Online Developmental Science to Foster Innovation, Access, and Impact. Trends in Cognitive Sciences 24, 675 - 678 (2020).

Sherman, M. A. et al. Genome-wide mapping of somatic mutation rates uncovers drivers of cancerAbstract. Nature Biotechnology 40, 1634 - 1643 (2022).

Shen, W. et al. Deep Regression Forests for Age Estimation. (2018).

CBMM-Memo-085.pdf (2.2 MB)

Shen, W., Wang, B., Jiang, Y., Wang, Y. & Yuille, A. Multi-stage Multi-recursive-input Fully Convolutional Networks for Neuronal Boundary Detection. (2017).

CBMM-Memo-080.pdf (2.51 MB)

Griffiths, T. L. & Zaslavsky, N. Encyclopedia of Color Science and TechnologyBayesian Approaches to Color Category Learning. 1 - 5 (Springer Berlin Heidelberg, 2021). doi:10.1007/978-3-642-27851-8

Shalev-Shwartz, S. & Shashua, A. Can we Contain Covid-19 without Locking-down the Economy?. (2020).

CBMM Memo 104 v4 (Apr. 6, 2020) (418.25 KB)

CBMM Memo 104 v3 (Apr. 1, 2020) (452.94 KB)

CBMM Memo 104 v2 (Mar. 28, 2020) (427.39 KB)

CBMM-Memo-104.pdf (425.12 KB)

Shalev-Shwartz, S. & Shashua, A. An Exit Strategy from the Covid-19 Lockdown based on Risk-sensitive Resource Allocation. (2020).

CBMM-Memo-106.pdf (431.13 KB)

Shaham, N., Chandra, J., Kreiman, G. & Sompolinsky, H. Stochastic consolidation of lifelong memoryAbstract. Scientific Reports 12, (2022).

s41598-022-16407-9.pdf (2.54 MB)

Serrino, J., Kleiman-Weiner, M., Parkes, D. C. & Tenenbaum, J. B. Finding Friend and Foe in Multi-Agent Games. Neural Information Processing Systems (NeurIPS 2019) (2019).

Max KW paper.pdf (928.96 KB)

Scott, K. M., Chu, J. & Schulz, L. Lookit (Part 2): Assessing the viability of online developmental research, Results from three case studies. Open Mind 1, (2017).

lookitpart2.pdf (464.02 KB)

Scott, K. M. & Schulz, L. Lookit (Part 1): a new online platform for developmental research. Open Mind 1, (2017).

UNCORRECTED PROOF (561.21 KB)

Scott, K. Moving the lab home: validation of a web-based system for developmental studies. (2015).

Schwiedrzik, C. M., Zarco, W., Everling, S. & Freiwald, W. A. Face Patch Resting State Networks Link Face Processing to Social Cognition. PLoS Biology 13, e1002245 (2015).

Pages