Pedro D. Maia

发表

Preventing Neurodegenerative Memory Loss in Hopfield Neuronal Networks Using Cerebral Organoids or External Microelectronics

J. Nathan Kutz, M. Morrison, Pedro D. Maia, 2017, Comput. Math. Methods Medicine.

Functionality and Robustness of Injured Connectomic Dynamics in C. elegans: Linking Behavioral Deficits to Neural Circuit Damage

J. Nathan Kutz, Pedro D. Maia, James M. Kunert, 2017, PLoS Comput. Biol..

Slow-gamma frequencies are optimally guarded against effects of neurodegenerative diseases and traumatic brain injuries

J. Nathan Kutz, Pedro D. Maia, Ashish Raj, 2019, Journal of Computational Neuroscience.

Matrix Inversion and Subset Selection (MISS): A novel pipeline for quantitative mapping of diverse cell types across the murine brain

Pedro D. Maia, Ashish Raj, Christopher Mezias, 2019, bioRxiv.

Reaction time impairments in decision-making networks as a diagnostic marker for traumatic brain injuries and neurological diseases

J. Nathan Kutz, Pedro D. Maia, J. Kutz, 2017, Journal of Computational Neuroscience.

Identifying critical regions for spike propagation in axon segments

J. Nathan Kutz, Pedro D. Maia, J. Kutz, 2013, Journal of Computational Neuroscience.

Compromised axonal functionality after neurodegeneration, concussion and/or traumatic brain injury

J. Nathan Kutz, Pedro D. Maia, J. Kutz, 2014, Journal of Computational Neuroscience.

Modeling cognitive deficits following neurodegenerative diseases and traumatic brain injuries with deep convolutional neural networks

Pedro D. Maia, Bethany Lusch, Jake Weholt, 2016, Brain and Cognition.

Inferring connectivity in networked dynamical systems: Challenges using Granger causality.

Pedro D. Maia, Bethany Lusch, J. Kutz, 2016, Physical review. E.

Forecasting dengue fever in Brazil: An assessment of climate conditions

Pedro D. Maia, Lucas M. Stolerman, J. Kutz, 2019, PloS one.

Data-Driven Forecast of Dengue Outbreaks in Brazil: A Critical Assessment of Climate Conditions for Different Capitals

Pedro D. Maia, Lucas M. Stolerman, J. Kutz, 2016, 1701.00166.

Origins of atrophy in Parkinson linked to early onset and local transcription patterns

Pedro D. Maia, Benjamin Freeze, A. Raj, 2020, Brain communications.

Estimating Memory Deterioration Rates Following Neurodegeneration and Traumatic Brain Injuries in a Hopfield Network Model

J. Nathan Kutz, Melanie Weber, Pedro D. Maia, 2017, Front. Neurosci..

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 plasticity

Pedro D. Maia, J. Kutz, S. Rudy, 2016 .

Mathematical modeling of focal axonal swellings arising in traumatic brain injuries and neurodegenerative diseases

Pedro D. Maia, P. Maia, 2014 .

Dynamical Role of Pivotal Brain Regions in Parkinson Symptomatology Uncovered with Deep Learning

Pedro D. Maia, P. Damasceno, A. Raj, 2020, Brain sciences.

Reaction time impairments in decision-making networks as a diagnostic marker for traumatic brain injuries and neurodegenerative diseases

Pedro D. Maia, J. Kutz, P. Maia, 2016, 1608.05778.

Diagnostic tools for evaluating the impact of Focal Axonal Swellings arising in neurodegenerative diseases and/or traumatic brain injury

Pedro D. Maia, M. Hemphill, K. Parker, 2015, Journal of Neuroscience Methods.

Network mediation of pathology pattern in sporadic Creutzfeldt–Jakob disease

Pedro D. Maia, Benjamin Freeze, A. Raj, 2020, Brain communications.

Heterogeneity of Incipient Atrophy Patterns in Parkinson’s Disease

Pedro D. Maia, A. Raj, Ajay Gupta, 2018, bioRxiv.

Associative Memory Impairments arising from Neurodegenerative Diseases and Traumatic Brain Injuries in a Hopfield Network Model

Pedro D. Maia, Melanie Weber, J. Kutz, 2016, 1609.07656.

The effects of microglia on tauopathy progression can be quantified using Nexopathy in silico (Nexis) models

Pedro D. Maia, A. Raj, Chaitali Anand, 2021, Scientific Reports.

Identifying critical regions for spike propagation in axon segments

Pedro D. Maia, J. Kutz, P. Maia, 2014, Journal of Computational Neuroscience.

A method for inferring regional origins of neurodegeneration

Pedro D. Maia, Ashish Raj, Sneha Pandya, 2018, Brain : a journal of neurology.

A Computational Model for Pain Processing in the Dorsal Horn Following Axonal Damage to Receptor Fibers

Pedro D. Maia, Jennifer Crodelle, 2021, Brain sciences.

Emergence of directional bias in tau deposition from axonal transport dynamics

Pedro D. Maia, A. Raj, Parul Verma, 2021, bioRxiv.

Modeling seeding and neuroanatomic spread of pathology in amyotrophic lateral sclerosis

Pedro D. Maia, Benjamin Freeze, M. Turner, 2022, NeuroImage.

Modeling seeding and neuroanatomic spread of pathology in amyotrophic lateral sclerosis

Pedro D. Maia, Benjamin Freeze, M. Turner, 2021, NeuroImage.

Built to Last: Functional and Structural Mechanisms in the Moth Olfactory Network Mitigate Effects of Neural Injury

J. Nathan Kutz, Charles B. Delahunt, Pedro D. Maia, 2018, Brain sciences.

Predicting dengue outbreaks in Brazil with manifold learning on climate data

Vitor G. Rolla, Pedro D. Maia, Lucas M. Stolerman, 2022, Expert Syst. Appl..

Forecasting dengue fever in Brazil: An assessment of climate conditions

Pedro D. Maia, Lucas M. Stolerman, J. Kutz, 2019, PLoS ONE.

A meta-analysis of mouse models of tauopathy reveals the cellular underpinnings of selective regional vulnerability

Pedro D. Maia, A. Raj, Chaitali Anand, 2023, bioRxiv.

Axonal transport dynamics explain directional bias in tau deposition

Pedro D. Maia, A. Raj, Parul Verma, 2021, Alzheimer's & dementia : the journal of the Alzheimer's Association.

Cellular underpinnings of the selective vulnerability to tauopathic insults in Alzheimer’s disease

Pedro D. Maia, A. Raj, Chaitali Anand, 2023, bioRxiv.