Cooperative Agreements

Virtual observatory of the cortex: organelles, cells, circuits, and dynamics

We propose to create VOrtex, a Virtual Observatory for the Cortex: Spanning the Scales of Organelles, Cells, Circuits, and Dynamics. The observatory will disseminate an existing dataset: an automated reconstruction of all cells in a cubic millimeter of mouse visual cortex, along with the synaptic connectivity of the neurons and calcium-imaged responses to video stimuli. The cubic millimeter volume spans all layers of cortex and four visual areas (V1, LM, AL, RL). A team of human proofreaders will detect and correct the remaining errors in the automated segmentation.

Using Direct Brain Stimulation to Study Cognitive Electrophysiology

Project Abstract Our project aims to form a multi-site consortium that will carry out fundamental exper- iments to elucidate the mesoscopic and microscopic neural dynamics underlying human memory and use direct brain stimulation as a manipulative tool to study those dynamics. Additionally, we seek to create a dynamical timeseries model that predicts the evolution of brain activity during cognitive tasks and incorporates the e ects of stimulation-induced perturbations on the system.

Dynamic Neural Mechanisms of Audiovisual Speech Perception

Project Summary/Abstract Speech perception is inherently multisensory: when conversing with someone that we can see, our brains combine auditory information from the voice with visual information from the face. Speech perception lies at the heart of our interactions with other people and is thus one of our most important cognitive abilities. However, there is a large gap in our knowledge about this uniquely human skill because most experimental techniques available in humans suffer from poor spatiotemporal resolution.

The neural coding of speech across human languages

PROJECT SUMMARY The basic mechanisms underlying comprehension of spoken language are unknown. We are only beginning to understand how the human brain extracts the most fundamental linguistic elements (consonants and vowels) from a complex and highly variable acoustic signal. Traditional theories have posited a ‘universal’ phonetic inventory shared by all humans, but this has been challenged by other newer theories that each language has its own unique and specialized code.

Cortical-Basal Ganglia Speech Networks

PROJECT SUMMARY Actions are not mediated solely by cortical processes but rely on communication within basal ganglia- thalamocortical loops. Speech is one example, although how the basal ganglia participate in this uniquely human behavior is not clear, due to a lack of empirical data. For instance, the leading computational model of speech production ignores the hyperdirect cortical pathway to the subthalamic nucleus (STN), a basal ganglia node that has been implicated in multiple cognitive processes relevant to speech production (e.g.

Neurostimulation and Recording of Real World Spatial Navigation in Humans

Project Summary/Abstract Decades of research and clinical observations have established that successful spatial navigation and memory depend on the hippocampus and associated structures in the medial temporal lobe (MTL), including entorhinal, perirhinal and parahippocampal cortices [1, 2]. It is thought that the supporting neuronal mechanisms rely on key oscillatory patterns of activity within the MTL that change dynamically when navigating through an environment [3-10].

Neuronal mechanisms of human episodic memory

Project Summary The rapid formation of new memories and the recall of old memories to inform decisions is essential for human cognition, but the underlying neural mechanisms remain poorly understood. The long-term goal of this research is a circuit-level understanding of human memory to enable the development of new treatments for the devastating effects of memory disorders. Our experiments utilize the rare opportunity to record in-vivo from human single neurons simultaneously in multiple brain areas in patients undergoing treatment for drug resistant epilepsy.

Neural basis of causal inference: representations, circuits, and dynamics

Project Summary The same pattern of neural activity can correspond to multiple events in the world. Signals sweeping across the retina, for instance, might be generated by a moving object or by the animal's self-motion. The brain resolves this ambiguity by inferring what events best explain sensory activity. This process, called causal inference, is a foundation of action-perception loops in all sensory-motor systems. To support adaptive action, neural representations of variables involved in these computations should be internally consistent.

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