Direct Measurement of Correlation Responses in Drosophila Elementary Motion Detectors Reveals Fast Timescale Tuning
Autor: | Juyue Chen, Joseph Pottackal, Emilio Salazar-Gatzimas, Damon A. Clark, Omer Mano, Matthew S. Creamer, Catherine A. Matulis, Holly B Mandel |
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Rok vydání: | 2016 |
Předmět: |
0301 basic medicine
Time Factors Rotation Models Neurological Motion Perception Motor Activity Measure (mathematics) Article Motion (physics) Correlation 03 medical and health sciences Motion estimation Animals Neurons Physics Communication Quantitative Biology::Neurons and Cognition business.industry General Neuroscience Motion detection Nonlinear system Light intensity 030104 developmental biology Acoustic Stimulation Drosophila Pairwise comparison business Biological system Photic Stimulation |
Zdroj: | Neuron. 92:227-239 |
ISSN: | 0896-6273 |
Popis: | Summary Animals estimate visual motion by integrating light intensity information over time and space. The integration requires nonlinear processing, which makes motion estimation circuitry sensitive to specific spatiotemporal correlations that signify visual motion. Classical models of motion estimation weight these correlations to produce direction-selective signals. However, the correlational algorithms they describe have not been directly measured in elementary motion-detecting neurons (EMDs). Here, we employed stimuli to directly measure responses to pairwise correlations in Drosophila 's EMD neurons, T4 and T5. Activity in these neurons was required for behavioral responses to pairwise correlations and was predictive of those responses. The pattern of neural responses in the EMDs was inconsistent with one classical model of motion detection, and the timescale and selectivity of correlation responses constrained the temporal filtering properties in potential models. These results reveal how neural responses to pairwise correlations drive visual behavior in this canonical motion-detecting circuit. |
Databáze: | OpenAIRE |
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