Project Summary The mouse posterior parietal cortex (PPC) has emerged as an essential region for decision-making during memory-guided decision-making tasks. Neurons in the PPC typically respond selectively at a single point during a unique behavioral trial type; activity at the population level can be thought of as a choice-specific trajectory through state space.
Project Summary This project’s long-term goal is a fuller understanding of the neurobiological mechanisms of olfactory sensory adaptation that facilitate odor discrimination in the natural world. To confront the wide fluctuations in intensity and temporal variability that are characteristic of natural odor environments, animals have evolved refined neurosensory mechanisms for parsing behaviorally-relevant signals such as pheromones from background nuisance odors.
Project summary Understanding how neural circuits give rise to sensory computation and, ultimately, perception, requires connecting biological features of neural circuits to abstract models of neural computation. In vison, a model of the visual receptive field (RF) describes how a neuron's responses are determined by the visual inputs it encounters. The visual RF can also provide a compact description of a neuron's function, revealing which features of the external environment that neuron is responsible for encoding.
Project Summary A fundamental end-goal of brain-computer interfaces (BCI) is to enable communication in individuals with severe motor paralysis. BCIs decode the neural signals and accomplish the intended goal via an effector, such as a computer cursor or a robotic limb. The BCI user relies on the realtime feedback of the effector's performance to modulate their neural strategy to control the external device. To date, this feedback is predominantly visual.
In dendrites, Ca2+ is critical in determining how neurons respond to incoming excitation. While numerous studies have focused on how dendritic Ca2+ relates to behaviorally-relevant neuronal and circuit activity using correlative observations, there is currently no method to precisely manipulate Ca2+ in neurons in vivo and thus causally test its role in circuit function and behavior. In non-neuronal cells, mitochondria can act as sinks for Ca2+ released from the endoplasmic reticulum (ER) by forming direct contacts with these concentrated intracellular Ca2+ stores.
Project Summary and Abstract A major obstacle to understanding the link between behavior and neuronal activity is the difficulty of electrophysiologically recording the activity of large neuronal populations without limiting visual access. Electrode arrays directly measure electrical signals and offer significantly greater temporal resolution than optical fluorescence techniques, but the resulting obstruction of optical access limits the ability to pair electrode arrays with optogenetic stimulation and calcium imaging.
Project Summary/Abstract Reuse of existing neuroscience data relies, in part, on our ability to understand the experimental design and study data. Historically, a description of the experiment is provided in textual documents, which are often difficult to search, lack the details necessary for data reuse, and are hampered by differences in terminologies across related fields of neuroscience.
Abstract The goal of this project is to develop an archival data format and a formal task specification language to serve as standards for describing behavioral experiments. Because different laboratories use different behavioral systems, hardware, and software, it has been difficult to communicate behavioral task design, share data, or reproduce experiments.
Neuroscientific data contain information from an incredible diversity of species, are generated by a plethora of devices, and encapsulate the results of scientific thinking and decision making. Most of this generated data remains confined within laboratories and is not accessible to the broader scientific community. The research projects awarded under the Brain Initiative are generating a diverse collection of data that can transform and accelerate the pace of discovery. These datasets are large--ranging in size from GBs to PBs-- and represent diverse data types and assorted metadata.
To take advantage of recent and ongoing advances in intensive and large-scale computational methods, and to preserve the scientific data created by publicly funded research projects, data archives must be created as well as standards for specifying, identifying, and annotating deposited data. The value of and interest in such archives among researchers can be greatly increased by adding to them an active computational capability and framework of analysis and search tools that support further analysis as well as larger scale meta-analysis and large scale data mining.
