Awarded to Professor Joseph Kirschvink
Awarded to Professor Kai Zinn
T&C CHEN CENTER FOR SOCIAL AND DECISION NEUROSCIENCE
Changes in the neurocomputational basis of human simple choice with extensive experience and training: initial exploratory studies
The goal of this project is to carry out extensive piloting of the feasibility of studying how the neurocomputational basis of simple choices changes with extensive experience, using fMRI and long-term human subjects. The data and results generated by this pilot project will be used as the basis for an NIH RO1 application to fund a full larger study.
T&C CHEN CENTER FOR SYSTEMS NEUROSCIENCE AWARDS
Diffusion imaging of an Elephant Brain
In this project Allman will investigate the micro-anatomy and connections of the brain of a rare completely intact elephant brain with ex-vivo structural and diffusion MR imaging, which will then be compared with histological sections from the same specimen.
Awarded to Professor Anima Anandkumar
Understanding the role of feedback in vision
Feedback is a ubiquitous anatomical feature of the brain but its function remains largely unknown. Visual neuroscience has been dominated by work on feedforward transformations, raising the critical question: what is the role of feedback in visual computation? This project will pursue the hypothesis that feedback serves to implement a generative model of the visual world, incorporating priors that make it possible to resolve visual ambiguity.
Awarded to Assistant Professor Scott Cushing and Assistant Professor Eilzabeth Hong
Low Power, Entangled, Two Photon Microscope for Live Imaging in Neuroscience
Two-photon imaging techniques have accelerated progress in biology and neuroscience by allowing deep imaging of live samples. However, the two-photon absorption cross section is significantly lower than that of a one-photon process, requiring the use of high-peak intensity pulsed laser sources. The high peak intensity leads to instantaneous tissue damage as well as long term heating and warping of the sample. This project will examine the use of entangled photons to perform two-photon imaging at equivalent signal levels to a classical pulsed laser, but at a million times lower peak intensity and a thousand times lower average power.
Awarded to Professor Markus Meister and Professor Yisong Yue
Transformator Scientiae: Expert-Guided Neural Knowledge Extraction from Brain Science Corpora
This project will aim to create a computational engine that can extract knowledge from the scientific literature, and aid in the direction of future research in brain science. There is great need for a system that exploits the ever-expanding scale of scientific knowledge at a scope inaccessible for any single human participant. This is the domain of computational learning machines. Such a system would be invaluable in guiding scientists, who could make informed decisions rapidly in a way that might require months if one wanted to query a large team of human experts.
Awarded to Professor Alexander Varshavsky
Experimental Approaches to Verifying the Fragment Generation (FG) Hypothesis About the Cause/Function of Sleep.
This project seeks to verify, in detail, specific predictions of the fragment generation (FG) hypothesis about the cause/function of sleep. The molecular-level cause of sleep is still unknown. The FG hypothesis was proposed in 2012. By now, this hypothesis has became more detailed through additional and specific ideas. These verifiable propositions will be examined.