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Related Concept Videos

Epistasis01:39

Epistasis

In addition to multiple alleles at the same locus influencing traits, numerous genes or alleles at different locations may interact and influence phenotypes in a phenomenon called epistasis. For example, rabbit fur can be black or brown depending on whether the animal is homozygous dominant or heterozygous at a TYRP1 locus. However, if the rabbit is also homozygous recessive at a locus on the tyrosinase gene (TYR), it will have an unshaded coat that appears white, regardless of its TYRP1...

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Related Experiment Video

Updated: Jun 4, 2026

Optogenetics Identification of a Neuronal Type with a Glass Optrode in Awake Mice
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High-resolution optogenetics generates distinguishable neocortical activity patterns in awake mice.

Ryosuke Yoshida1, Yamato Ishii1, Kotaro Yamashiro1

  • 1Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo 113-0033, Japan.

Neuroscience Research
|December 25, 2025
PubMed
Summary

Researchers developed a digital micromirror device (DMD)-based optogenetics platform for precise neural control. This novel method allows for highly accurate and reproducible manipulation of neuronal population activity in vivo.

Keywords:
Deep learningDigital micromirror deviceElectrophysiologyOptogeneticsPatterned stimulation

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Last Updated: Jun 4, 2026

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Area of Science:

  • Neuroscience
  • Optogenetics
  • Systems Neuroscience

Background:

  • Cognition relies on precisely coordinated neural population activity on millisecond timescales.
  • Understanding these intricate network dynamics requires advanced tools for causal investigation.

Purpose of the Study:

  • To develop and validate a digital micromirror device (DMD)-based photostimulation platform for high-resolution spatiotemporal control of neuronal activity.
  • To investigate the impact of patterned photostimulation on cortical activity and its reproducibility.

Main Methods:

  • Development of a DMD-based optogenetics platform with 2-μm spatial and 0.2-ms temporal resolution.
  • Application of spatiotemporally patterned photostimulation to the primary somatosensory cortex of channelrhodopsin-2-expressing mice.
  • Utilized deep learning algorithms for classification of evoked electrophysiological population responses.

Main Results:

  • The DMD platform successfully evoked distinct electrophysiological population responses.
  • Deep learning algorithms accurately classified the evoked neural activity patterns.
  • Rapidly changing illumination patterns demonstrated superior trial-to-trial consistency compared to constant photostimulation.

Conclusions:

  • DMD-based spatiotemporal optogenetics provides precise and reproducible control over in vivo neuronal population activity.
  • This technology enables causal probing of complex neural network dynamics.
  • The findings pave the way for advanced investigations into the neural basis of cognition.