Illuminating Neural Computation Using Precision Optogenetics-Controlled Synthetic Perception

Jonathan V. Gill; Gilad M. Lerman; Edmund Chong; Dmitry Rinberg; Shy Shoham

doi:10.1007/978-1-0716-2764-8_12

Illuminating Neural Computation Using Precision Optogenetics-Controlled Synthetic Perception

Review

In: All-Optical Methods to Study Neuronal Function [Internet]. New York: Humana; 2023. Chapter 12.

2023 Feb 21.

Authors

Jonathan V. Gill¹, Gilad M. Lerman¹, Edmund Chong², Dmitry Rinberg^{1

3

4}, Shy Shoham^{1

5

6}

Book Editor

Eirini Papagiakoumou¹

Affiliations

¹ Neuroscience Institute, NYU Langone Health, New York, NY, USA
² University College London, London, UK
³ Center for Neural Science, New York University, New York, NY, USA
⁴ Department of Physics, New York University, New York, NY, USA
⁵ Tech4Health Institute, NYU Langone Health, New York, NY, USA
⁶ Department of Ophthalmology, NYU Langone Health, New York, NY, USA

Book Affiliation

¹ Institut de la Vision, Sorbonne Université, INSERM, CNRS, Paris, France

Excerpt

Connecting neuronal activity to perception requires tools that can probe neural codes at cellular and circuit levels, paired with sensitive behavioral measures. In this chapter, we present an overview of current methods for connecting neural codes to perception using precision optogenetics and psychophysical measurements of synthetically induced percepts. We also highlight new methodologies for validating precise control of optical and behavioral manipulations. Finally, we provide a perspective on upcoming developments that are poised to advance the field.

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