Copertina

Developing a Novel Holistic, Personalized Dementia Risk Prediction Model via Integration of Machine Learning and Network Systems Biology Approaches

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Mamidala, Srilekha
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Neurons and Cognition Computers and Society Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Dementia Insights: A Context-Based MultiModal Approach
di: Mehdoui, Sahar Sinene, et al.
Pubblicazione: (2025)

Path Integration and Object-Location Binding Emerge in an Action-Conditioned Predictive Sequence Network
di: Ventura, Linda Ariel, et al.
Pubblicazione: (2026)

Laya: A LeJEPA Approach to EEG via Latent Prediction over Reconstruction
di: Panchavati, Saarang, et al.
Pubblicazione: (2026)

HetSyn: Versatile Timescale Integration in Spiking Neural Networks via Heterogeneous Synapses
di: Deng, Zhichao, et al.
Pubblicazione: (2025)

Integration of Calcium Imaging Traces via Deep Generative Modeling
di: Ros, Berta, et al.
Pubblicazione: (2025)

Developing a General Personal Tutor for Education
di: Aru, Jaan, et al.
Pubblicazione: (2025)

Development and Validation of a Deep-Learning Model for Differential Treatment Benefit Prediction for Adults with Major Depressive Disorder Deployed in the Artificial Intelligence in Depression Medication Enhancement (AIDME) Study
di: Benrimoh, David, et al.
Pubblicazione: (2024)

Lattice-Based Pruning in Recurrent Neural Networks via Poset Modeling
di: Sengupta, Rakesh
Pubblicazione: (2025)

Functional Brain Network Identification in Opioid Use Disorder Using Machine Learning Analysis of Resting-State fMRI BOLD Signals
di: Temtam, Ahmed, et al.
Pubblicazione: (2024)

Supervised Training Rapidly Degrades Early Visual Cortex Alignment Across Biologically Plausible Learning Rules
di: Leutenegger, Nils
Pubblicazione: (2026)

Fault-Tolerant Neural Networks from Biological Error Correction Codes
di: Zlokapa, Alexander, et al.
Pubblicazione: (2022)

Algorithm Development in Neural Networks: Insights from the Streaming Parity Task
di: van Rossem, Loek, et al.
Pubblicazione: (2025)

Machine Learning for Complex Systems Dynamics: Detecting Bifurcations in Dynamical Systems with Deep Neural Networks
di: Pal, Swadesh, et al.
Pubblicazione: (2026)

Does Feedback Alignment Work at Biological Timescales?
di: Bacvanski, Marc Gong, et al.
Pubblicazione: (2025)

Probabilistic Prediction of Neural Dynamics via Autoregressive Flow Matching
di: Rogalla, Nicole, et al.
Pubblicazione: (2026)

The Effect of Acute Stress on the Interpretability and Generalization of Schizophrenia Predictive Machine Learning Models
di: Vos, Gideon, et al.
Pubblicazione: (2024)

SynapsNet: Enhancing Neuronal Population Dynamics Modeling via Learning Functional Connectivity
di: Delavari, Parsa, et al.
Pubblicazione: (2024)

Of Mice and Machines: A Comparison of Learning Between Real World Mice and RL Agents
di: Han, Shuo, et al.
Pubblicazione: (2025)

Meta-Dynamical State Space Models for Integrative Neural Data Analysis
di: Vermani, Ayesha, et al.
Pubblicazione: (2024)

Integrated Brain Connectivity Analysis with fMRI, DTI, and sMRI Powered by Interpretable Graph Neural Networks
di: Qu, Gang, et al.
Pubblicazione: (2024)

A Computational Approach to Epilepsy Treatment: An AI-optimized Global Natural Product Prescription System
di: Wang, Zhixuan
Pubblicazione: (2025)

ActiTect: A Generalizable Machine Learning Pipeline for REM Sleep Behavior Disorder Screening through Standardized Actigraphy
di: Bertram, David, et al.
Pubblicazione: (2025)

The Geometry of Abstraction: Continual Learning via Recursive Quotienting
di: Li, Xin
Pubblicazione: (2025)

Modeling Neural Activity with Conditionally Linear Dynamical Systems
di: Geadah, Victor, et al.
Pubblicazione: (2025)

Modeling Visual Hallucination: A Generative Adversarial Network Framework
di: Zareh, Masoumeh, et al.
Pubblicazione: (2021)

From Epilepsy Seizures Classification to Detection: A Deep Learning-based Approach for Raw EEG Signals
di: Darankoum, Davy, et al.
Pubblicazione: (2024)

Learning Glioblastoma Tumor Heterogeneity Using Brain Inspired Topological Neural Networks
di: Paul, Ankita, et al.
Pubblicazione: (2026)

Bayesian Active Learning for Discrete Latent Variable Models
di: Jha, Aditi, et al.
Pubblicazione: (2022)

Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems
di: Hu, Amber, et al.
Pubblicazione: (2024)

Online Generalised Predictive Coding
di: Bazargani, Mehran H. Z., et al.
Pubblicazione: (2026)

Auto Detecting Cognitive Events Using Machine Learning on Pupillary Data
di: Dang, Quang, et al.
Pubblicazione: (2024)

Integrative neurocybernetic modeling in the era of large-scale neuroscience
di: Park, Il Memming, et al.
Pubblicazione: (2026)

A Foundational Brain Dynamics Model via Stochastic Optimal Control
di: Park, Joonhyeong, et al.
Pubblicazione: (2025)

Generative Modeling of Neural Dynamics via Latent Stochastic Differential Equations
di: ElGazzar, Ahmed, et al.
Pubblicazione: (2024)

Preemptive Solving of Future Problems: Multitask Preplay in Humans and Machines
di: Carvalho, Wilka, et al.
Pubblicazione: (2025)

Predicting Cognition from fMRI:A Comparative Study of Graph, Transformer, and Kernel Models Across Task and Rest Conditions
di: Patel, Jagruti, et al.
Pubblicazione: (2025)

Hierarchical Multiscale Structure-Function Coupling for Brain Connectome Integration
di: Chen, Jianwei, et al.
Pubblicazione: (2026)

On a Geometry of Interbrain Networks
di: Hinrichs, Nicolás, et al.
Pubblicazione: (2025)

Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex
di: Yu, Muquan, et al.
Pubblicazione: (2025)

Nature's Insight: A Novel Framework and Comprehensive Analysis of Agentic Reasoning Through the Lens of Neuroscience
di: Liu, Zinan, et al.
Pubblicazione: (2025)