High-dimensional geometry of population responses in visual cortex
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DOI: 10.1038/s41586-019-1346-5
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Cited by:
- W. Jeffrey Johnston & Stefano Fusi, 2023. "Abstract representations emerge naturally in neural networks trained to perform multiple tasks," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
- Mehrabbeik, Mahtab & Shams-Ahmar, Mohammad & Levine, Alexandra T. & Jafari, Sajad & Merrikhi, Yaser, 2022. "Distinctive nonlinear dimensionality of neural spiking activity in extrastriate cortex during spatial working memory; a Higuchi fractal analysis," Chaos, Solitons & Fractals, Elsevier, vol. 158(C).
- Kristjan Kalm & Dennis Norris, 2021. "Sequence learning recodes cortical representations instead of strengthening initial ones," PLOS Computational Biology, Public Library of Science, vol. 17(5), pages 1-34, May.
- Yuke Yan & James M. Goodman & Dalton D. Moore & Sara A. Solla & Sliman J. Bensmaia, 2020. "Unexpected complexity of everyday manual behaviors," Nature Communications, Nature, vol. 11(1), pages 1-8, December.
- Jérémie Sibille & Carolin Gehr & Jonathan I. Benichov & Hymavathy Balasubramanian & Kai Lun Teh & Tatiana Lupashina & Daniela Vallentin & Jens Kremkow, 2022. "High-density electrode recordings reveal strong and specific connections between retinal ganglion cells and midbrain neurons," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
- Ege Altan & Sara A Solla & Lee E Miller & Eric J Perreault, 2021. "Estimating the dimensionality of the manifold underlying multi-electrode neural recordings," PLOS Computational Biology, Public Library of Science, vol. 17(11), pages 1-23, November.
- Edward A. B. Horrocks & Fabio R. Rodrigues & Aman B. Saleem, 2024. "Flexible neural population dynamics govern the speed and stability of sensory encoding in mouse visual cortex," Nature Communications, Nature, vol. 15(1), pages 1-23, December.
- Ghislain St-Yves & Emily J. Allen & Yihan Wu & Kendrick Kay & Thomas Naselaris, 2023. "Brain-optimized deep neural network models of human visual areas learn non-hierarchical representations," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
- Rong J. B. Zhu & Xue-Xin Wei, 2023. "Unsupervised approach to decomposing neural tuning variability," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
- Patrice Abry & B. Cooper Boniece & Gustavo Didier & Herwig Wendt, 2023. "Wavelet eigenvalue regression in high dimensions," Statistical Inference for Stochastic Processes, Springer, vol. 26(1), pages 1-32, April.
- Maximilian Hoffmann & Jörg Henninger & Johannes Veith & Lars Richter & Benjamin Judkewitz, 2023. "Blazed oblique plane microscopy reveals scale-invariant inference of brain-wide population activity," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
- Disheng Tang & Joel Zylberberg & Xiaoxuan Jia & Hannah Choi, 2024. "Stimulus type shapes the topology of cellular functional networks in mouse visual cortex," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
- Kenneth W. Latimer & David J. Freedman, 2023. "Low-dimensional encoding of decisions in parietal cortex reflects long-term training history," Nature Communications, Nature, vol. 14(1), pages 1-24, December.
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