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.

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Dehghani, N. et al. Avalanche analysis from multielectrode ensemble recordings in cat, monkey, and human cerebral cortex during wakefulness and sleep. Frontiers in Physiology (2012). doi:10.3389/fphys.2012.00302

AvalancheDynamics.pdf (2.45 MB)

Dehghani, N. Design of the Artificial: lessons from the biological roots of general intelligence. (2017). at <https://arxiv.org/pdf/1703.02245>

DesignArtificial_Dehghani_arXiv.pdf (222.47 KB)

Dehghani, N. Theoretical principles of multiscale spatiotemporal control of neuronal networks: a complex systems perspective. (2017). doi:10.1101/097618

StimComplexity.pdf (218.1 KB)

A del Molino, G., Boix, X., Lim, J. & Tan, A. Active Video Summarization: Customized Summaries via On-line Interaction. AAAI Conference on Artificial Intelligence (2017).

21-Garcia-del-Molino-14856.pdf (413.77 KB)

Dellaferrera, G. & Kreiman, G. Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass. Proceedings of the 39th International Conference on Machine Learning, PMLR 162, 4937-4955 (2022).

dellaferrera22a.pdf (909.91 KB)

Deza, A., Liao, Q., Banburski, A. & Poggio, T. Hierarchically Local Tasks and Deep Convolutional Networks. (2020).

CBMM_Memo_109.pdf (2.12 MB)

Dillon, M. R., Pires, A. C., Hyde, D. C. & Spelke, E. S. Children's expectations about training the approximate number system. British Journal of Developmental Psychology 33, (2015).

Dillon, M. R. & Spelke, E. S. From spatial symbols to Euclidean intuitions. Cognitive Development Society (CDS) (2015). at <http://cogdevsoc.org/sites/default/files/Official%20Full%20Conference%20Proceedings_10.10.pdf>

Dillon, M. R., Izard, V. & Spelke, E. S. Isolating angle in infants' detection of shape. (2015).

SRCD_2015_Dillonetal.pdf (5.01 MB)

Dillon, M. R. & Spelke, E. S. Core geometry in perspective. Developmental Science (2014). doi:10.1111/desc.12266

Dillon, M. R., Izard, V. & Spelke, E. S. Infants’ sensitivity to shape changes. Cognitive Development Society Pre-Conference on the Development of Spatial Thinking (2015).

Dillon, M. R., Huang, Y. & Spelke, E. S. Core foundations of abstract geometry. Proceedings of National Academy of Sciences of the United States of America 110, (2013).

Dillon, M. R. & Spelke, E. S. Young Children’s Use of Surface and Object Information in Drawings of Everyday Scenes. Child Development (2016). doi:10.1111/cdev.12658

Dillon, M. R. & Spelke, E. S. Spatial cognition across development. SRCD (2017).

Dillon, M. R. & Spelke, E. S. From Map Reading to Geometric Intuitions. Developmental Psychology (2018). doi:http://dx.doi.org/10.1037/dev0000509

Dillon, M. R. & Spelke, E. S. From spatial symbols to Euclidean intuitions. Biennial Meeting of Cognitive Development Society (2015).

Dillon, M. R. & Spelke, E. S. Reorientation ability predicts early spatial symbol reading. 2015 Society for Research in Child Development Biennial Meeting (2015).

Dillon, M. R. & Spelke, E. S. Connecting core cognition, spatial symbols, and the abstract concepts of formal geometry. Cognitive Development Society Post-Conference, More on Development (2015).

Dillon, M. R. & Spelke, E. S. Young children's use of distance and angle information during map reading. SRCD (2017).

Dillon, M. R., Izard, V. & Spelke, E. S. Infants’ sensitivity to shape changes in 2D visual forms. Infancy 25, 618 - 639 (2020).

Dillon, M. R. & Spelke, E. S. Young children’s automatic and alternating use of scene and object information in spatial symbols. Budapest CEU Conference on Cognitive Development (2015).

Dobs, K. et al. Effects of Face Familiarity in Humans and Deep Neural Networks . European Conference on Visual Perception (2019).

Dobs, K., Isik, L., Pantazis, D. & Kanwisher, N. How face perception unfolds over time. Nature Communications 10, (2019).

Dobs, K., Yuan, J., Martinez, J. & Kanwisher, N. Behavioral signatures of face perception emerge in deep neural networks optimized for face recognition. Proceedings of the National Academy of Sciences 120, (2023).

Dobs, K., Kell, A. J. E., Martinez-Trujillo, J., Cohen, M. & Kanwisher, N. Using task-optimized neural networks to understand why brains have specialized processing for faces . Computational and Systems Neurosciences (2020).

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