# The centrality of population-level factors to network computation is demonstrated by a versatile approach for training spiking networks

Article · Brian DePasquale, David C. Sussillo, Larry F. Abbott, Mark M. Churchland

- Archive id: doi:10.1016/j.neuron.2022.12.007
- Published: 2023-01-10
- Venue: Neuron
- DOI: https://doi.org/10.1016/j.neuron.2022.12.007
- PMID: 36630961
- Citations: 55
- Source URL: https://doi.org/10.1016/j.neuron.2022.12.007
- Provenance: openalex

_Abstract not reproduced: its license does not permit redistribution. See the source URL._

Topics: [Mechanistic Interpretability](https://space-kitty.com/topics/interpretability)

---
Space Kitty Archive · https://space-kitty.com · API: https://space-kitty.com/api/v1 · MCP: https://space-kitty.com/mcp · Premium: $0.20/request via x402 (Base Sepolia (testnet)). Metadata: arXiv (CC0), OpenAlex (CC0), Europe PMC (CC BY/CC0 works), ClinicalTrials.gov.
