| Forecasting dengue fever in Brazil: An assessment of climate conditions LM Stolerman, PD Maia, JN Kutz PLOS ONE 14 (8), e0220106, 2019 | 88 | 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 | 46 | 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 | 46 | 2016 |
| Identifying critical regions for spike propagation in axon segments PD Maia, JN Kutz Journal of Computational Neuroscience 36 (2), 141-155, 2014 | 40 | 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 | 34 | 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 | 31 | 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 | 27 | 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 | 24 | 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 | 19* | 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 | 12 | 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 | 11 | 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 | 10 | 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 | 10 | 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 | 10 | 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 | 9 | 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 | 8 | 2020 |
| 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 | 8 | 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 | 8 | 2017 |
| 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 | 7 | 2016 |
| Network mediation of pathology pattern in sporadic Creutzfeldt–Jakob disease B Freeze, PD Maia, S Pandya, A Raj Brain Communications 2 (1), fcaa060, 2020 | 6 | 2020 |
J. Nathan KutzProfessor of Applied Mathematics & Electrical and Computer Engineering在 uw.edu 的电子邮件经过验证
