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Annual Review of Neuroscience

Volume 44, 2021

Dense Circuit Reconstruction to Understand Neuronal Computation: Focus on Zebrafish

Abstract

The dense reconstruction of neuronal wiring diagrams from volumetric electron microscopy data has the potential to generate fundamentally new insights into mechanisms of information processing and storage in neuronal circuits. Zebrafish provide unique opportunities for dynamical connectomics approaches that combine reconstructions of wiring diagrams with measurements of neuronal population activity and behavior. Such approaches have the power to reveal higher-order structure in wiring diagrams that cannot be detected by sparse sampling of connectivity and that is essential for neuronal computations. In the brain stem, recurrently connected neuronal modules were identified that can account for slow, low-dimensional dynamics in an integrator circuit. In the spinal cord, connectivity specifies functional differences between premotor interneurons. In the olfactory bulb, tuning-dependent connectivity implements a whitening transformation that is based on the selective suppression of responses to overrepresented stimulus features. These findings illustrate the potential of dynamical connectomics in zebrafish to analyze the circuit mechanisms underlying higher-order neuronal computations.

Keyword(s): neuronal circuit, neuronal computation, volume electron microscopy, wiring diagram, zebrafish
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/content/journals/10.1146/annurev-neuro-110220-013050
2021-07-08
2024-04-25
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/content/journals/10.1146/annurev-neuro-110220-013050
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Dense Circuit Reconstruction to Understand Neuronal Computation: Focus on Zebrafish
Annual Review of Neuroscience 44, 275 (2021); https://doi.org/10.1146/annurev-neuro-110220-013050
/content/journals/10.1146/annurev-neuro-110220-013050
/content/journals/10.1146/annurev-neuro-110220-013050
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