Pedro Doria Maia
Pedro Doria Maia
Assistant Professor of Mathematics, UT Arlington
Verified email at - Homepage
Cited by
Cited by
Forecasting dengue fever in Brazil: An assessment of climate conditions
LM Stolerman, PD Maia, JN Kutz
PLOS ONE 14 (8), e0220106, 2019
A method for inferring regional origins of neurodegeneration
J Torok, PD Maia, F Powell, S Pandya, A Raj
Brain 141 (3), 863-876, 2018
Inferring connectivity in networked dynamical systems: Challenges using Granger causality
B Lusch, PD Maia, JN Kutz
Physical Review E 94 (3), 1-14, 2016
Identifying critical regions for spike propagation in axon segments
PD Maia, JN Kutz
Journal of Computational Neuroscience 36 (2), 141-155, 2014
Compromised axonal functionality after neurodegeneration, concussion and/or traumatic brain injury
PD Maia, JN Kutz
Journal of Computational Neuroscience 37 (2), 317-332, 2014
Diagnostic tools for evaluating the impact of Focal Axonal Swellings arising in neurodegenerative diseases and/or traumatic brain injury
PD Maia, MA Hemphill, B Zehnder, C Zhang, KK Parker, JN Kutz
Journal of Neuroscience Methods 253, 233-243, 2015
On the calibration of a size-structured population model from experimental data
M Doumic, PD Maia, JP Zubelli
Acta Biotheoretica 58 (4), 405-413, 2010
Reaction time impairments in decision-making networks as a diagnostic marker for traumatic brain injuries and neurological diseases
PD Maia, JN Kutz
Journal of Computational Neuroscience 42 (3), 323-347, 2017
Estimating memory deterioration rates following neurodegeneration and traumatic brain injuries in a Hopfield network model
M Weber, PD Maia, JN Kutz
Frontiers in Neuroscience 11, 623, 2017
Functionality and robustness of injured connectomic dynamics in C. Elegans: linking behavioral deficits to neural circuit damage
JM Kunert, PD Maia, JN Kutz
PLOS Computational Biology 13 (1), e1005261, 2017
Modeling cognitive deficits following neurodegenerative diseases and traumatic brain injuries with deep convolutional neural networks
B Lusch, J Weholt, PD Maia, JN Kutz
Brain and Cognition 123, 154-164, 2018
Predicting dengue outbreaks in Brazil with manifold learning on climate data
C Souza, PD Maia, LM Stolerman, V Rolla, L Velho
Expert Systems with Applications 192, 116324, 2022
Emergence of directional bias in tau deposition from axonal transport dynamics
J Torok, PD Maia, P Verma, C Mezias, A Raj
PLOS Computational Biology 17 (7), 2021
The effects of microglia on tauopathy progression can be quantifed using Nexopathy in silico (Nexis) models
C Anand, PD Maia, J Torok, C Mezias, A Raj
Scientific Reports 12 (21170), 1-14, 2022
Modelling seeding and neuroanatomic spread of pathology in amyotrophic lateral sclerosis
S Pandya, PD Maia, B Freeze, R Menke, K Talbot, M Turner, A Raj
NeuroImage 251, 2022
Dynamical role of pivotal brain regions in Parkinson symptomatology uncovered with deep learning
AA Nguyen, PD Maia, X Gao, PF Damasceno, A Raj
Brain Sciences 10 (2), 73, 2020
Preventing neurodegenerative memory loss in Hopfield neuronal networks using cerebral organoids or external microelectronics
M Morrison, PD Maia, JN Kutz
Computational and Mathematical Methods in Medicine 2017, 2017
Origins of atrophy in Parkinson linked to early onset and local transcription patterns
PD Maia, S Pandya, B Freeze, J Torok, A Gupta, Y Zeighami, A Raj
Brain Communications 2 (2), fcaa065, 2020
Cognitive and behavioral deficits arising from neurodegeneration and traumatic brain injury: a model for the underlying role of focal axonal swellings in neuronal networks with …
S Rudy, PD Maia, JN Kutz
Journal of Systems and Integrative Neuroscience, 2016
Matrix Inversion and Subset Selection (MISS): A pipeline for mapping of diverse cell types across the murine brain
C Mezias, J Torok, PD Maia, E Markley, A Raj
Proceedings of the National Academy of Sciences 119 (14), e2111786119, 2022
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