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Kreiman Lab News

Annual Meeting of the Cogitate Consortium

Consciousness research
Cogitate Consortium

Jan 5th — Jan 9th, 2022. Annual Meeting of the Cogitate Consortium

An exciting meeting to discuss problems, challenges and solutions in the study of the mechanisms underlying consciousness perception, comparing the ideas about Global Workspace and the Integrated Information Theory. Daniel Kahneman gave a lucid keynote talk about his experiences with adversarial collaborations.

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Kreiman Lab News

Building a Map of the Human Brain Functional Connections at the Mesoscale

https://brain.harvard.edu/hbi_news/building-a-map-of-the-human-brain-functional-connections-at-the-mesoscale/

PDF Wang J, Tao A, Anderson WS, Madsen JR, Kreiman G (2021). Mesoscopic physiological interactions in the human brain reveal small world properties. Cell Reports, 36 (8) 109585. Supplementary Material | Resources

Cognition relies on rapid and robust communication between brain areas. Wang et al. leverage multi-day intracranial field potential recordings to characterize the human mesoscopic functional interactome. They validated the methods using monkey anatomical and physiological data. The human interactome reveals small-world properties and is modulated by sleep versus awake state.

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Kreiman Lab News

Statistical Learning Theory and Applications

MIT Class 9.520 / 6.860 (Fall 2021)

Class 19 and Class 20: Real neural networks and the ventral stream

By Thomas Serre, Gabriel Kreiman and Tomaso Poggio

Slides Nov 16, 2021

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Kreiman Lab News

Shashi Gupta and Mengmi Zhang present their work at NeurIPS

Gupta SK, Zhang M, Wu CC, Wolfe JM, Kreiman G (2021). Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent Biases. NeurIPS arXiv 2106.02953 PDF | Supplementary Material | Resources

Gupta et al NeurIPS 2021
Eccentricity-dependent sampling in the visual system
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Kreiman Lab News

Trenton Bricken presents his work at NeurIPS

SDM
Relationship between sparse distributed memory and transformer architectures

Attention approximates sparse distributed memory

Bricken T and Pehlevan C. NeurIPS 2021