Remus M. Osan, Ph.D.
Affiliations: | 2002 | University of Pittsburgh, Pittsburgh, PA, United States |
Area:
General Biophysics, Neuroscience BiologyGoogle:
"Remus Osan"Mean distance: 42746.4
Parents
Sign in to add mentor| Bard Ermentrout | grad student | 2002 | University of Pittsburgh | |
| (Spatial and temporal patterns in neural networks: Cortical map development and traveling waves in neural tissue.) | ||||
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Publications
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| Erazo-Toscano R, Osan R. (2023) Synaptic propagation in neuronal networks with finite-support space-dependent coupling. Physical Review. E. 107: 034403 |
| Zhang J, Osan R. (2016) Analytically tractable studies of traveling waves of activity in integrate-and-fire neural networks. Physical Review. E. 93: 052228 |
| Osan R, Tort AB, Amaral OB. (2011) A mismatch-based model for memory reconsolidation and extinction in attractor networks. Plos One. 6: e23113 |
| Oşan R. (2007) Single and multiple-spikes traveling wave solutions in integrate and fire neural networks Bmc Neuroscience. 8: 70 |
| Lin L, Osan R, Shoham S, et al. (2005) Identification of network-level coding units for real-time representation of episodic experiences in the hippocampus. Proceedings of the National Academy of Sciences of the United States of America. 102: 6125-30 |
| Oşan R, Curtu R, Rubin J, et al. (2004) Multiple-spike waves in a one-dimensional integrate-and-fire neural network. Journal of Mathematical Biology. 48: 243-74 |
| Osan R, Rubin J, Curtu R, et al. (2003) Traveling waves in a one-dimensional integrate-and-fire neural network with finite support connectivity Neurocomputing. 52: 869-875 |
| Osan R, Ermentrout B. (2003) Speed-up methods for simulations of traveling waves in integrate-and-fire neural networks Neurocomputing. 52: 863-868 |
| Osan R, Rubin J, Ermentrout B. (2002) Regular traveling waves in a one-dimensional network of theta neurons Siam Journal On Applied Mathematics. 62: 1197-1221 |
| Osan R, Ermentrout B. (2002) Development of joint ocular dominance and orientation selectivity maps in a correlation-based neural network model Neurocomputing. 44: 561-566 |