A fundamental goal of neuroscience is to understand the cellular and network mechanisms of neural circuit dynamics that give rise to cognition and behavior. Such a mechanistic picture would significantly enhance our ability to understand and potentially address the cellular and circuit dysfunctions that underlie psychiatric and neurologica disorders, including schizophrenia, epilepsy, and autism. To achieve this understanding, new tools are needed that can measure and perturb neural activity, at cellular and subcellular resolution, in a wide range of neural populations during behavior. Work in this renewal proposal addresses this need by enhancing the capabilities of a powerful set of optical and behavioral instrumentation and methods, developed in the PI's laboratory during the past funding period, for head-restrained mice navigating in virtual reality. When implemented, our proposed aims will provide several new capabilities. First, it will be possible to not only measure, but also experimentally manipulate, specific patterns of neural activity during ongoing behavior by using simultaneous imaging and cellular-resolution optogenetic stimulation in mice navigating in virtual reality (VR). The system will be applied to study synaptic inputs and plasticity underlying place-cell firing patterns in the hippocampus. This capability could also form a general-purpose method for mapping functional connectivity between neurons whose firing properties have been characterized during behavior. Second, it will be possible to apply cellular resolution optical methods in a number of widely studied deep brain regions that are optically inaccessible using current techniques, including medial prefrontal cortex. In addition, our methods will make it possible to image multiple hippocampal areas simultaneously, together spanning the entire hippocampal circuit from input to output. Third, it will be possible to optically measure the dynamics of neuromodulatory inputs within functioning microcircuits, as well as to measure the activity of synaptic inputs to functionally identified neurons during behavior. This will enable direct tests of hypotheses about the contributions these inputs make to cellular and circuit computations. As a first application, we will measure dopaminergic inputs to medial prefrontal cortex at fine spatio-temporal resolution during learning. We will also measure the spatial firing properties of synaptic inputs to hippocampal place cells during virtual navigation. In general, the new capabilities will provide an improved means to discover and characterize the cellular and network mechanisms that underlie neural coding and dynamics.

Public Health Relevance

We will develop novel methods to measure and perturb the activity of neurons during behavior. The methods operate at the spatial resolution of single cells, allowing the activity across populations of neurons to be measured simultaneously while also allowing the activity of each cell to be individually altered. Many diseases, such as schizophrenia, autism and temporal lobe epilepsy, are associated with functional disruption of neural circuit dynamics. These new technologies can be used to address the fundamental mechanisms underlying these dynamics, generating insight into the normal operation of brain circuits and how it may be altered in disease. They also offer the promise of being able to specifically modify neural activity in highly controlled ways that could eventually be used to address disturbances of neural circuit dynamics in disease states.

National Institute of Health (NIH)
National Institute of Mental Health (NIMH)
Research Project (R01)
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Freund, Michelle
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Princeton University
Schools of Arts and Sciences
United States
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Gauthier, Jeffrey L; Tank, David W (2018) A Dedicated Population for Reward Coding in the Hippocampus. Neuron 99:179-193.e7
Aronov, Dmitriy; Nevers, Rhino; Tank, David W (2017) Mapping of a non-spatial dimension by the hippocampal-entorhinal circuit. Nature 543:719-722
Song, Alexander; Charles, Adam S; Koay, Sue Ann et al. (2017) Volumetric two-photon imaging of neurons using stereoscopy (vTwINS). Nat Methods 14:420-426
Rajan, Kanaka; Harvey, Christopher D; Tank, David W (2016) Recurrent Network Models of Sequence Generation and Memory. Neuron 90:128-42
Dombeck, Daniel; Tank, David (2014) Two-photon imaging of neural activity in awake mobile mice. Cold Spring Harb Protoc 2014:726-36
Low, Ryan J; Gu, Yi; Tank, David W (2014) Cellular resolution optical access to brain regions in fissures: imaging medial prefrontal cortex and grid cells in entorhinal cortex. Proc Natl Acad Sci U S A 111:18739-44
Aronov, Dmitriy; Tank, David W (2014) Engagement of neural circuits underlying 2D spatial navigation in a rodent virtual reality system. Neuron 84:442-56
Rickgauer, John Peter; Deisseroth, Karl; Tank, David W (2014) Simultaneous cellular-resolution optical perturbation and imaging of place cell firing fields. Nat Neurosci 17:1816-24
Domnisoru, Cristina; Kinkhabwala, Amina A; Tank, David W (2013) Membrane potential dynamics of grid cells. Nature 495:199-204
Harvey, Christopher D; Coen, Philip; Tank, David W (2012) Choice-specific sequences in parietal cortex during a virtual-navigation decision task. Nature 484:62-8

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