Understanding Circuits

High-resolution synaptic and functional connectivity mapping of a neural circuit architecture underlying a behavioral sequence

The ability to generate complex motor behaviors by assembling sequences of movements is essential for purposeful actions and survival. Defects in the brain regions thought to drive such movement selection can lead to behaviors becoming abnormally repetitive (e.g. autism spectrum disorder). Yet, the neural circuit architectures that underlie this fundamental function of the nervous system remain poorly understood. A central model of a neural circuit architecture that can account for how movements are assembled into sequences has emerged from studies across multiple species.

Topological bridges between circuits, models, and behavior

Project summary The plight of the neuroscientist trying to understand the brain using linear analysis methods is akin to studying the makeup of the ocean using the bits you find with a metal detector. Everything we know about the neural basis of decision making, from biology to computation to behavior, makes it clear that the relationship between neurons and behavior is profoundly nonlinear. However, for good mathematical reasons, our attempts to understand that relationship typically rely only on linear measures.

Stability and Robustness of Hippocampal Representations of Space

PROJECT SUMMARY How does the brain balance the need to preserve prior knowledge with the necessity to continuously learn new information? The tradeoff between stability and plasticity is inherent in both biological and artificial learning systems constrained by finite resources and capacity. The hippocampus is a brain region critical for memory formation and spatial learning, which can provide a powerful experimental system for characterizing this tradeoff.

Cortical visual processing for navigation

Project summary Vision plays a key role in our ability to navigate through the environment, from identifying landmarks and obstacles to determining location and heading. While studies of visual cortex have provided an understanding of properties such as orientation selectivity and object recognition, much less is known about how cortical circuitry extracts and processes features from the visual scene to support navigation. In particular, there are two challenges.

Effects of abnormal early experience on IT circuitry

Project Summary The goal of the proposed research is to probe object-recognition circuitry in inferotemporal cortex by specific manipulations of early visual experience. In adult humans and monkeys discrete regions of the temporal lobe are specialized for processing particular object categories, such as faces, text, bodies, or places. These domains underlie complex object recognition. Visual experience of these categories is both necessary and sufficient to produce domains, and the goal is to explore how specific abnormal early visual experience changes neuronal selectivity.

Flexible normalization in ferret V1: computational modeling and 2-photon imaging

ABSTRACT The remarkable efficiency of human perception derives from the fact that we do not process each stimulus as a novel event. Instead, past experiences and scene context inform internal, working models of the world that allow us to generate predictions for our physical environment. A leading theory suggests that perceptual predictions are accomplished via flexible normalization: local inhibitory neuronal populations are regulated by long-range connections so that responses are suppressed when they do not provide helpful information about object boundaries.

Principles of sensorimotor processing in zebrafish thermosensation

SUMMARY It is our long-term goal to understand computations that underlie sensori-motor transformations in the context of thermoregulatory behaviors. Generating appropriate behaviors in response to sensory stimuli is critical for the survival of any animal. Larval zebrafish will be used for these studies as it is the only vertebrate model which allows comprehensive identification and manipulation of thermoregulatory circuits. Importantly, larval zebrafish is an ectotherm animal and therefore exclusively relies on thermal gradient navigation for thermoregulation.

Mechanism and Modulation of the homeostatic setpoint for protein feeding

Project Summary All animals share motivated behaviors to fulfill their basic needs for survival, including food, water, sleep, and social interactions, etc. The homeostatic regulatory system energizes behaviors to defend a target level for these needs (the homeostatic setpoint). For example, human adults, on average, aim to sleep 7-8 hours daily. What defines the homeostatic setpoint and how is it modulated remain unanswered questions for all motivated behaviors. Do dedicated neural circuits exist that determine the setpoint?

Representation and modulation of social information in the ant chemosensory system

PROJECT SUMMARY Social insects show robust and complex behaviors, and have served as important study systems in ethology for decades. However, because they are not genetically tractable, researchers have not been able to study these behaviors at the level of brain circuitry with cutting-edge neurogenetic tools. The proposed work will pioneer such tools in the clonal raider ant Ooceraea biroi, a species that uniquely combines experimental amenability with the fascinating behavior of social insects.

Ethologically relevant short term memory in the olfactory bulb

ABSTRACT Short-term memory is an essential component of cognition. Here, we will investigate an ethologically relevant form of short-term memory that guides navigation behavior: memory of odor concentration across sniffs. This intersniff memory has been shown to guide olfactory search in studies of freely moving animals, but the stimuli in these experiments are hard to control and measure. To better control concentration fluctuation, we have developed a system for presenting stimuli that rapidly change concentration to head- fixed mice.

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