Challenges for automated spike sorting: beware of pharmacological manipulations
Gerrit Hilgen (Biosciences Institute, Faculty of Medical Sciences,, Newcastle University, Newcastle, NE2 4HH, United Kingdom)

TL;DR
This paper highlights the challenges in automated spike sorting, emphasizing the impact of pharmacological manipulations on spike waveforms and the need for algorithms to account for biological variability.
Contribution
It underscores the importance of considering drug-induced waveform changes in developing robust automated spike sorting algorithms.
Findings
Spike waveforms are affected by pharmacological manipulations.
Current algorithms may fail under biological changes.
Future methods should incorporate biological constraints.
Abstract
The advent of large-scale and high-density extracellular recording devices allows simultaneous recording from thousands of neurons. However, the complexity and size of the data makes it mandatory to develop robust algorithms for fully automated spike sorting. Here it is shown that limitations imposed by biological constraints such as changes in spike waveforms induced under different drug regimes should be carefully taken into consideration in future developments.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNeural dynamics and brain function · Neuroscience and Neural Engineering · Photoreceptor and optogenetics research
