[HTML][HTML] Extracting the dynamics of behavior in sensory decision-making experiments
Decision-making strategies evolve during training and can continue to vary even in well-
trained animals. However, studies of sensory decision-making tend to characterize behavior …
trained animals. However, studies of sensory decision-making tend to characterize behavior …
High-yield methods for accurate two-alternative visual psychophysics in head-fixed mice
Research in neuroscience increasingly relies on the mouse, a mammalian species that
affords unparalleled genetic tractability and brain atlases. Here, we introduce high-yield …
affords unparalleled genetic tractability and brain atlases. Here, we introduce high-yield …
Standardized and reproducible measurement of decision-making in mice
International Brain Laboratory, V Aguillon-Rodriguez… - Elife, 2021 - elifesciences.org
Progress in science requires standardized assays whose results can be readily shared,
compared, and reproduced across laboratories. Reproducibility, however, has been a …
compared, and reproduced across laboratories. Reproducibility, however, has been a …
Teaching categories to human learners with visual explanations
O Mac Aodha, S Su, Y Chen… - Proceedings of the …, 2018 - openaccess.thecvf.com
We study the problem of computer-assisted teaching with explanations. Conventional
approaches for machine teaching typically only provide feedback at the instance level eg …
approaches for machine teaching typically only provide feedback at the instance level eg …
Using computational theory to constrain statistical models of neural data
SW Linderman, SJ Gershman - Current opinion in neurobiology, 2017 - Elsevier
Computational neuroscience is, to first order, dominated by two approaches: the 'bottom-
up'approach, which searches for statistical patterns in large-scale neural recordings, and the …
up'approach, which searches for statistical patterns in large-scale neural recordings, and the …
[HTML][HTML] Standardized and reproducible measurement of decision-making in mice
TIB Laboratory, V Aguillon-Rodriguez, D Angelaki… - Elife, 2021 - ncbi.nlm.nih.gov
Progress in science requires standardized assays whose results can be readily shared,
compared, and reproduced across laboratories. Reproducibility, however, has been a …
compared, and reproduced across laboratories. Reproducibility, however, has been a …
Inferring learning rules from animal decision-making
How do animals learn? This remains an elusive question in neuroscience. Whereas
reinforcement learning often focuses on the design of algorithms that enable artificial agents …
reinforcement learning often focuses on the design of algorithms that enable artificial agents …
Gradient-based algorithms for machine teaching
P Wang, K Nagrecha… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
The problem of machine teaching is considered. A new formulation is proposed under the
assumption of an optimal student, where optimality is defined in the usual machine learning …
assumption of an optimal student, where optimality is defined in the usual machine learning …
Adversarial vulnerabilities of human decision-making
A Dezfouli, R Nock, P Dayan - Proceedings of the National …, 2020 - National Acad Sciences
Adversarial examples are carefully crafted input patterns that are surprisingly poorly
classified by artificial and/or natural neural networks. Here we examine adversarial …
classified by artificial and/or natural neural networks. Here we examine adversarial …