Rapid sequential touches complicate whisking-phase analysis in mouse active touch

Area of Science:

• Neuroscience
• Computational Neuroscience

Background:

• Accurate spike counting is crucial for understanding neural responses.
• Fixed counting windows can introduce artifacts by including spikes from subsequent events.

Purpose of the Study:

• To reanalyze touch-evoked neural activity using refined counting methods.
• To assess the impact of touch-spacing and counting window choices on spike count prediction accuracy.

Main Methods:

• Reanalyzed 19,675 touch events from excitatory layer 4 neurons in the Hires et al. dataset.
• Spike counts were recalculated in variable-length windows (10-50 ms) around each touch.
• Prediction models were built excluding touches with short preceding intervals (<100 ms) or close temporal proximity (<50 ms).

Main Results:

• Excluding rapid, consecutive touches improved spike count prediction models.
• Adding phase information improved spike count prediction by 1.5%, further enhanced by movement variables (0.8%).
• The interaction between amplitude and phase provided additional predictive information (0.25 points).

Conclusions:

• Touch-spacing and counting window selection significantly impact the estimation of neural responses.
• Phase information offers modest predictive value for spike counts, especially after accounting for movement.
• Refined analytical approaches are essential for accurate attribution in studies involving rapid neural stimulation.