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BRAIN Initiative: Research Resource Grants for Technology Integration and Dissemination (U24 Clinical Trial Not Allowed)
This NIH BRAIN Initiative opportunity supports dissemination of existing resources into neuroscience research practice. Activities may include distribution of tools and reagents, training in new technologies, access to technology platforms or specialized facilities, minor improvements to resource delivery, and adaptations for user communities.
BRAIN Initiative: Theories, Models and Methods for Analysis of Complex Data from the Brain (R01 Clinical Trial Not Allowed)
This NIH BRAIN Initiative opportunity supports the development of theories, computational models, and analytical methods for large-scale, complex brain data. Priority is given to novel capabilities for integrating and interpreting physiological, anatomical, connectivity, behavioral, and cell-type-specific data emerging from BRAIN Initiative research.
Decision and Behavior
This webinar addressed computational perspectives on how animals and humans make decisions, spanning normative, descriptive, and mechanistic models. Sam Gershman (Harvard) presented a capacity-limited reinforcement learning framework in which policies are compressed under an information bottleneck constraint. This approach predicts pervasive perseveration, stimulus‐independent “default” actions, and trade-offs between complexity and reward. Such policy compression reconciles observed action stochasticity and response time patterns with an optimal balance between learning capacity and performance. Jonathan Pillow (Princeton) discussed flexible descriptive models for tracking time-varying policies in animals. He introduced dynamic Generalized Linear Models (Sidetrack) and hidden Markov models (GLM-HMMs) that capture day-to-day and trial-to-trial fluctuations in choice behavior, including abrupt switches between “engaged” and “disengaged” states. These models provide new insights into how animals’ strategies evolve under learning. Finally, Kenji Doya (OIST) highlighted the importance of unifying reinforcement learning with Bayesian inference, exploring how cortical-basal ganglia networks might implement model-based and model-free strategies. He also described Japan’s Brain/MINDS 2.0 and Digital Brain initiatives, aiming to integrate multimodal data and computational principles into cohesive “digital brains.”
Glial and Neuronal Biology of the Aging Brain Symposium, Alana Down Syndrome Center and Aging Brain Initiative at Picower, MIT
The Aging Brain Initiative (ABI) is an interdisciplinary effort by MIT focusing on understanding neurodegeneration and discovery efforts to find hallmarks of aging, both in health and disease." "The Alana Down Syndrome Center (ADSC) aims to deepen knowledge about Down syndrome and to improve health, autonomy and inclusion of people with this genetic condition." "The ABI and the ADSC have joined forces for this year's symposium to highlight how aging-related changes to the brain overlap with neurological aspects of Down syndrome. Our hope is to encourage greater collaboration between the brain aging and Down syndrome research communities.
Glial and Neuronal Biology of the Aging Brain Symposium, Alana Down Syndrome Center and Aging Brain Initiative at Picower, MIT
The Aging Brain Initiative (ABI) is an interdisciplinary effort by MIT focusing on understanding neurodegeneration and discovery efforts to find hallmarks of aging, both in health and disease." "The Alana Down Syndrome Center (ADSC) aims to deepen knowledge about Down syndrome and to improve health, autonomy and inclusion of people with this genetic condition." "The ABI and the ADSC have joined forces for this year's symposium to highlight how aging-related changes to the brain overlap with neurological aspects of Down syndrome. Our hope is to encourage greater collaboration between the brain aging and Down syndrome research communities.
Aging Brain Initiative Symposium: Cellular & Molecular Mechanisms of Neurodegeneration
The Aging Brain Initiative is an ambitious interdisciplinary effort by MIT focusing on understanding neurodegeneration and efforts to find hallmarks of aging, both in health and disease. The Initiative is broad, made up of scientists in several areas, including systems neuroscience, cell biology, engineering and computational biology, with core investigators from the Departments of Biology, Brain & Cognitive Sciences, Biological Engineering, and Computer Science & Artificial Intelligence Labs. "The theme of this symposium is Cellular & Molecular Mechanisms of Neurodegeneration.