Beshkov, K., & Tiesinga, P. (2022). Geodesic-based distance reveals nonlinear topological features in neural activity from mouse visual cortex. Biological Cybernetics, 116(1), 53. https://doi.org/10.1007/s00422-021-00906-5
Chicago Style (17th ed.) CitationBeshkov, Kosio, and Paul Tiesinga. "Geodesic-based Distance Reveals Nonlinear Topological Features in Neural Activity from Mouse Visual Cortex." Biological Cybernetics 116, no. 1 (2022): 53. https://doi.org/10.1007/s00422-021-00906-5.
MLA (9th ed.) CitationBeshkov, Kosio, and Paul Tiesinga. "Geodesic-based Distance Reveals Nonlinear Topological Features in Neural Activity from Mouse Visual Cortex." Biological Cybernetics, vol. 116, no. 1, 2022, p. 53, https://doi.org/10.1007/s00422-021-00906-5.