# Holographic imprinting of novelty detection in mice

> **NIH NIH F31** · COLUMBIA UNIV NEW YORK MORNINGSIDE · 2020 · $45,520

## Abstract

PROJECT SUMMARY
 Perception of sensory information by the brain is highly dependent on the information context, where
responses to the most informative, or “novel”, stimuli are selectively amplified. Novelty detection occurs early in
the sensory cortex and is used for automatic focusing to stimuli that are most informative. Studies using the
oddball paradigm with EEG and MEG show that deficits of novelty detection appear in patients with
schizophrenia, suggesting its high importance for normal information processing and cognitive function. Because
these methods are inherently low resolution, the neuronal circuit mechanism underlying novelty detection
remains elusive. In this project I will be trained to use the Spatial Light Modulator for i) 3D volumetric two-photon
calcium imaging, and ii) holographic optogenetics, to learn the population activity underlying novelty detection,
and to interface with the cortex to manipulate contextual decision making and imprinting improved detection of
novelty.
 First, (AIM 1) I will use two-photon holographic calcium imaging to record from hundreds of neurons
simultaneously in awake mice undergoing a novelty detection task. Single trial trajectories of novelty detection
neurons will be extracted to learn the true high dimensional activity structure of the population, and reveal how
ongoing internal dynamics affect the sensory evoked response. Additionally, since novelty detection
decomposes into preattentive and attention dependent components, we will train mice in a novelty detection
behavior task to elucidate how individual trial trajectories correlate to attention and perception. Finally, we will
repeat these experiments in a mouse model of schizophrenia, to reveal how ongoing activity and stimulus evoked
single trial responses are affected in the disease phenotype.
 In the second part of this project (AIM 2) we will use cutting edge two-photon holographic methods for
interfacing with the brain, to manipulate perception and control behavioral output during novelty detection
behavior taks. Finally, we will use holographic “training” methods to imprint stronger novelty detection circuits in
schizophrenia model mice in an attempt to rescue the disease phenotype.
 These studies will yield i) true high dimensional neural activity underlying novelty detection and how it
depends on the ongoing circuit activity, ii) key insights of how evoked single trial dynamics and ongoing activity
is disrupted in the schizophrenia model, and iii) whether it is possible to use holographic training of novelty
detection circuits to improve stimulus evoked response and rescue the disease phenotype. This work will provide
the candidate with strong expertise in optics, large scale recordings and manipulation of neural activity, and
analysis of neural circuit data, position him to pursue wide range of topics and tackle challenging question in the
future career.

## Key facts

- **NIH application ID:** 10023434
- **Project number:** 5F31MH122137-02
- **Recipient organization:** COLUMBIA UNIV NEW YORK MORNINGSIDE
- **Principal Investigator:** Yuriy Shymkiv
- **Activity code:** F31 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $45,520
- **Award type:** 5
- **Project period:** 2019-09-16 → 2022-09-15

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10023434

## Citation

> US National Institutes of Health, RePORTER application 10023434, Holographic imprinting of novelty detection in mice (5F31MH122137-02). Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/grant/nih/10023434. Licensed CC0.

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