Systems Neuroscience

Canonical computations for motor learning by the cerebellar cortex micro-circuit

Abstract The cerebellum is critical for learning and executing coordinated, well-timed movements. The cerebellar cortex seems to have a particular role in learning to time movements. Since the 1960's and 70's, we have known the architecture of the cerebellar microcircuit, but most analyses of cerebellar function during behavior have focused on Purkinje cells.

Building a Complete, Predictive, Data-Driven Model of Action Selection During Olfactory Navigation

Abstract To survive, living organisms must collect information about their environment and use it to select appropriate behaviors. However, information from the environment is often noisy, incomplete and ambiguous. Currently, no theory or model comprehensively explains how nervous systems solve the problem of navigation based on noisy information.

Neural Computations Underlying Vocal Sensorimotor Transformations

Project Summary/Abstract This project aims to investigate the circuit mechanisms enabling an ethologically relevant sensorimotor transformation. Specifically, we characterize the neural basis for rapid vocal exchanges in the singing mouse (Scotinomys teguina), a highly vocal neotropical rodent species capable of producing an audible, stereotyped song. Pairs of S. teguina often precisely coordinate the timing of their vocalizations in a process known as countersinging.

Sensory recruitment by working memory: neuronal basis and neural circuitry

Working memory maintenance is fundamental for the orderly pursuit of goals in the face of irrelevant, distracting stimuli. Both prefrontal and visual areas are thought to contribute to the maintenance of items in working memory, but the exact nature of the interaction between these areas has yet to be causally examined. This proposal combines neurophysiological recordings of single unit activity and local field potentials with pharmacological manipulations of the prefrontal cortex, to determine its contribution to memory-driven changes in neural activity and synchrony within visual areas.

The cerebro-cerebellar-basal-gangliar network for visuomotor learning

ABSTRACT Visual learning is critical to the lives of human and non-human primates. Visuomotor association, the assignment of an arbitrary symbol to a particular movement (like a red light to a braking movement), is a well- studied form of visual learning. This proposal tests the hypothesis that the brain accomplishes visuomotor associative learning using an anatomically defined closed-loop network, including the prefrontal cortex, the basal ganglia, and the cerebellum.

Dendritic Computation and Representation of Head Direction in Retrosplenial Cortex

The mammalian cortex plays a critical role in integrating multiple streams of information to guide adaptive behavior. For example, head direction (HD) information is combined with visual and spatial input in the mouse retrosplenial cortex (RSC). Accurate integration of these signals is a necessary component of navigation: recognizing a distant landmark while facing north vs. facing south has very different interpretations for one's position and future actions.

Dissecting the dual role of dopamine in context-dependent and learned behaviors

Project Summary Dopamine plays a central role in motivation and reinforcement learning, allowing animals to take advantage of their current circumstances to optimize both present and future behavior. Yet reconciling the diverse roles of dopamine has remained a challenge, in part due to the difficulty of understanding how a single neuromodulator can convey different signals to its cellular targets in distinct behavioral contexts.

Structural and functional connectivity of the social decision-making network

PROJECT SUMMARY/ABSTRACT Humans and numerous other species live in complex social environments, requiring many of our most important decisions to be made in the context of social interactions. All of our social relationships rely on our ability to make context-appropriate decisions, including significant ties with committed partners, family, and friends. The social decision-making (SDM) network hypothesis suggests that the expression of a given social behavior is reflected by the overall activity of a network of structures rather than activity of any single structure.

Computational and circuit mechanisms of decision making

Abstract The neurobiology of perceptual decision-making elucidates fundamental neural mechanisms of higher cognitive function, the understanding of which will inspire new strategies to treat neurological and psychiatric diseases affecting thought, perception and awareness. The inquiry focuses on processes that intervene between the acquisition of sensory evidence and commitment to a proposition, behavioral choice, or plan.

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