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Pedro D. Maia
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2020 – today
- 2022
- [j9]Caio Souza, Pedro D. Maia, Lucas M. Stolerman, Vitor Rolla, Luiz Velho:
Predicting dengue outbreaks in Brazil with manifold learning on climate data. Expert Syst. Appl. 192: 116324 (2022) - [j8]Sneha Pandya, Pedro D. Maia, Benjamin Freeze, Ricarda A. L. Menke, Kevin Talbot, Martin R. Turner, Ashish Raj:
Modeling seeding and neuroanatomic spread of pathology in amyotrophic lateral sclerosis. NeuroImage 251: 118968 (2022) - 2021
- [j7]Justin Torok, Pedro D. Maia, Parul Verma, Christopher Mezias, Ashish Raj:
Emergence of directional bias in tau deposition from axonal transport dynamics. PLoS Comput. Biol. 17(7) (2021)
2010 – 2019
- 2019
- [j6]Pedro D. Maia, Ashish Raj, J. Nathan Kutz:
Slow-gamma frequencies are optimally guarded against effects of neurodegenerative diseases and traumatic brain injuries. J. Comput. Neurosci. 47(1): 1-16 (2019) - 2017
- [j5]Megan Morrison, Pedro D. Maia, J. Nathan Kutz:
Preventing Neurodegenerative Memory Loss in Hopfield Neuronal Networks Using Cerebral Organoids or External Microelectronics. Comput. Math. Methods Medicine 2017: 6102494:1-6102494:13 (2017) - [j4]Pedro D. Maia, J. Nathan Kutz:
Reaction time impairments in decision-making networks as a diagnostic marker for traumatic brain injuries and neurological diseases. J. Comput. Neurosci. 42(3): 323-347 (2017) - [j3]James M. Kunert, Pedro D. Maia, J. Nathan Kutz:
Functionality and Robustness of Injured Connectomic Dynamics in C. elegans: Linking Behavioral Deficits to Neural Circuit Damage. PLoS Comput. Biol. 13(1) (2017) - 2014
- [j2]Pedro D. Maia, J. Nathan Kutz:
Identifying critical regions for spike propagation in axon segments. J. Comput. Neurosci. 36(2): 141-155 (2014) - [j1]Pedro D. Maia, J. Nathan Kutz:
Compromised axonal functionality after neurodegeneration, concussion and/or traumatic brain injury. J. Comput. Neurosci. 37(2): 317-332 (2014)
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