Joshua H. Siegle
Artificial Intelligence · 2011–2021
A researcher in the Science corpus: 5 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 6 citations into it
Whom Joshua H. Siegle trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Joshua H. Siegle's perspective
Ordered by how strongly the researchers Joshua H. Siegle trusts endorse each paper. Same corpus, a different order for every researcher.
- Accuracy of tetrode spike separation as determined by simultaneous intracellular and extracellular measurements. (Journal of Neurophysiology)
- Whole-brain functional imaging at cellular resolution using light-sheet microscopy (Nature Methods)
- Quality Metrics to Accompany Spike Sorting of Extracellular Signals (Journal of Neuroscience)
- Multiple Classifier Systems
- Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
- A low-power, low-noise CMOS amplifier for neural recording applications (IEEE International Symposium on Circuits and Systems proceedings)
- Kilosort: realtime spike-sorting for extracellular electrophysiology with hundreds of channels (bioRxiv)
- Reconstruction and Simulation of Neocortical Microcircuitry. (Cell)
- mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture Models (The R Journal)
- Past, present and future of spike sorting techniques (Brain Research Bulletin)
Their papers
- Survey of spiking in the mouse visual system reveals functional hierarchy (2021)
- SpikeInterface, a unified framework for spike sorting (2019) — 324 citations
- Open Ephys: an open-source, plugin-based platform for multichannel electrophysiology (2017) — 519 citations
- Fully Integrated Silicon Probes for High-Density Recording of Neural Activity (2017) — 2,007 citations
- A critical role for NMDA receptors in parvalbumin interneurons for gamma rhythm induction and behavior (2011) — 656 citations