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Voltage dynamics of local and long-range circuits in visuomotor integration

Award Number: R56EY038275
ORGANIZATION: NATIONAL EYE INSTITUTE
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 09/15/2026
PERIOD OF PERFORMANCE END DATE: 09/14/2028

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Voltage dynamics of local and long-range circuits in visuomotor integration - ABSTRACT To navigate dynamically changing visual environments, animals and humans differentiate actual visual input in their visual field from predicted visual input based on their own locomotor behavior. Across different species, mismatches between actual and predicted visual inputs trigger neuronal and behavioral responses; yet our understanding of the neural circuit mechanisms underlying visuomotor mismatch processing remains incomplete. Here, we will perform high-speed (0.6–1 kHz) multipopulation optical imaging using mutually compatible genetically encoded voltage indicators (GEVIs) to determine the role of neuron-derived neurotrophic factor (NDNF+)–expressing interneurons in primary visual cortex (V1) in visuomotor predictive processing. First, to determine whether NDNF+ mismatch responses reflect a true visuomotor prediction error rather than a passive visual or motor response, we will perform targeted voltage imaging in V1 of head-fixed mice running in a virtual corridor, testing whether these responses require active visuomotor coupling and scale with mismatch magnitude. Second, to test whether NDNF+ mismatch responses arise from an imbalance between long-range motor input, conveying predictions of visual flow, and local visual input from within V1, we will simultaneously record from the NDNF+ subpopulation enriched for motor input and a putative non-recipient subclass using Boolean intersectional targeting of mutually compatible voltage indicators combined with dual-population voltage imaging. We will extract subpopulation-specific mismatch modulation indices and interpopulation spike-rate correlations, obtaining a conservative, lower-bound estimate of the functional divergence within NDNF+ interneuron class. Collectively, these experiments will uncover a previously unrecognized role for V1 NDNF+ neurons in visuomotor predictive processing, providing single-neuron, single-spike–resolution insights into how the brain distinguishes self-generated from stimulus-driven sensory inputs during visually guided navigation. Our findings bear relevance to disorders of visual stability during self-motion and enable a full comparison of this subclass with other interneuron classes as well as causal studies on the consequences of selective activation of distinct NDNF+ subclasses for V1 circuit dynamics and behavior.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2026 ( Subtotal = $1,159,362 )
2026	2026	REGENTS OF THE UNIVERSITY OF MINNESOTA	2221 UNIVERSITY AVE SE STE 100	MINNEAPOLIS	MN	55414	HENNEPIN	USA	Vision Research	000	1	9/11/2026	NEW	$1,159,362
														Subtotal = $1,159,362

Grand Total All Awards = $1,159,362

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Voltage dynamics of local and long-range circuits in visuomotor integration

Award Number: R56EY038275

ORGANIZATION: NATIONAL EYE INSTITUTE

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 09/15/2026

PERIOD OF PERFORMANCE END DATE: 09/14/2028

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