Andrea K. Barreiro, Ph.D.
Affiliations: | 2006 | New York University, New York, NY, United States |
Area:
Mathematics, Marine and Ocean Engineering, Physical OceanographyGoogle:
"Andrea Barreiro"Parents
Sign in to add mentor| Oliver Buhler | grad student | 2006 | NYU | |
| (Wave -driven vortex dynamics in the surf zone.) | ||||
| Eric Shea-Brown | post-doc | University of Washington | ||
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Publications
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| Barreiro AK, Fontenele AJ, Ly C, et al. (2024) Sensory input to cortex encoded on low-dimensional periphery-correlated subspaces. Pnas Nexus. 3: pgae010 |
| Craft MF, Barreiro AK, Gautam SH, et al. (2023) Odor modality is transmitted to cortical brain regions from the olfactory bulb. Journal of Neurophysiology. 130: 1226-1242 |
| Craft MF, Barreiro AK, Gautam SH, et al. (2021) Differences in olfactory bulb mitral cell spiking with ortho- and retronasal stimulation revealed by data-driven models. Plos Computational Biology. 17: e1009169 |
| Ly C, Barreiro AK, Gautam SH, et al. (2021) Odor-evoked increases in olfactory bulb mitral cell spiking variability. Iscience. 24: 102946 |
| Ly C, Shew WL, Barreiro AK. (2019) Efficient calculation of heterogeneous non-equilibrium statistics in coupled firing-rate models. Journal of Mathematical Neuroscience. 9: 2 |
| Barreiro AK, Ly C. (2018) Investigating the Correlation-Firing Rate Relationship in Heterogeneous Recurrent Networks. Journal of Mathematical Neuroscience. 8: 8 |
| Barreiro AK, Kutz JN, Shlizerman E. (2017) Symmetries Constrain Dynamics in a Family of Balanced Neural Networks. Journal of Mathematical Neuroscience. 7: 10 |
| Barreiro AK, Gautam SH, Shew WL, et al. (2017) A theoretical framework for analyzing coupled neuronal networks: Application to the olfactory system. Plos Computational Biology. 13: e1005780 |
| Barreiro AK, Ly C. (2017) Practical approximation method for firing-rate models of coupled neural networks with correlated inputs. Physical Review. E. 96: 022413 |
| Barreiro AK, Ly C. (2017) When do correlations increase with firing rates in recurrent networks? Plos Computational Biology. 13: e1005506 |