High throughput, rapid receptive field estimation for global motion sensitive neurons using a contiguous motion noise...

Area of Science:

• Neuroscience
• Computational Neuroscience
• Vision Science

Background:

• Understanding visual motion processing relies on characterizing neuronal receptive fields (RFs).
• Calcium imaging offers high-throughput neuronal recordings but suffers from noise and low temporal resolution, complicating RF estimation, especially for neurons sensitive to global motion.
• Estimating RFs for neurons with complex directional preferences across visual field positions presents a significant challenge.

Purpose of the Study:

• To develop a novel method for efficient and reliable receptive field estimation in motion-sensitive neurons using calcium imaging.
• To address the limitations of existing stimuli and readout methods in capturing complex RF structures.

Main Methods:

• Introduction of a novel contiguous motion noise (CMN) stimulus designed to elicit robust calcium responses.
• Application of reverse correlation combined with a two-step nonparametric cluster-based bootstrapping test for RF estimation.
• In silico evaluation and in vivo application in zebrafish pretectum.

Main Results:

• In silico evaluation demonstrated reliable detection of RF center positions and preferred directions in simulated neurons.
• Suppresssive RF components were identified in 40% of simulated neurons.
• Successfully estimated RFs for 163 motion-sensitive zebrafish neurons in vivo within 40 minutes, revealing sensitivity to complex directional flow fields.

Conclusions:

• The CMN method provides efficient and non-biased RF estimation, outperforming traditional white noise methods.
• This approach enables ascertainment of fine RF structures and is suitable for high-throughput investigations using calcium imaging.
• Facilitates a deeper understanding of visual motion processing in the brain.