Copertina

Mapping Connectomic Structure to Function(s) in Cerebellar-like Networks using Kernel Regression

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Dorrell, William, Latham, Peter E.
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Neurons and Cognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Convex Efficient Coding
di: Dorrell, William, et al.
Pubblicazione: (2026)

Actionable Neural Representations: Grid Cells from Minimal Constraints
di: Dorrell, William, et al.
Pubblicazione: (2022)

How much neuroscience does a neuroscientist need to know?
di: Whittington, James C. R., et al.
Pubblicazione: (2026)

If Grid Cells are the Answer, What is the Question? A Review of Normative Grid Cell Theory
di: Dorrell, William, et al.
Pubblicazione: (2026)

The Genetic and Environmental Architecture of the Human Functional Connectome
di: Raghav, Tanu, et al.
Pubblicazione: (2026)

Nanoscale Connectomics Annotation Standards Framework
di: Guittari, Nicole K., et al.
Pubblicazione: (2024)

Motion-Invariant Variational Auto-Encoding of Brain Structural Connectomes
di: Zhang, Yizi, et al.
Pubblicazione: (2022)

EM and XRM Connectomics Imaging and Experimental Metadata Standards
di: Wimbish, Miguel E., et al.
Pubblicazione: (2024)

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

Multiscale Comparative Connectomics
di: Gopalakrishnan, Vivek, et al.
Pubblicazione: (2020)

Cerebellar Contributions to Action and Cognition: Prediction, Timescale, and Continuity
di: Tsay, Jonathan, et al.
Pubblicazione: (2025)

Topological Sensitivity in Connectome-Constrained Neural Networks
di: Dhiman, Nalin
Pubblicazione: (2026)

A Biologically Plausible Dense Associative Memory with Exponential Capacity
di: Kafraj, Mohadeseh Shafiei, et al.
Pubblicazione: (2026)

Mapping Brain-Behavior Correlations in Autism Using Heat Kernel Smoothing
di: Chung, Moo K., et al.
Pubblicazione: (2025)

ASD Classification on Dynamic Brain Connectome using Temporal Random Walk with Transformer-based Dynamic Network Embedding
di: Piriyasatit, Suchanuch, et al.
Pubblicazione: (2025)

Modelling Alzheimer's Protein Dynamics: A Data-Driven Integration of Stochastic Methods, Machine Learning and Connectome Insights
di: MacIver, Alec, et al.
Pubblicazione: (2024)

Advancing Multiscale Structural Mapping for Alzheimer's Disease using Local Gyrification Index
di: Jang, Jinhee, et al.
Pubblicazione: (2024)

Dynamic Functional Connectivity Features for Brain State Classification: Insights from the Human Connectome Project
di: Kirova, Valeriya, et al.
Pubblicazione: (2025)

Evolvable Graph Diffusion Optimal Transport with Pattern-Specific Alignment for Brain Connectome Modeling
di: Sheng, Xiaoqi, et al.
Pubblicazione: (2025)

Connectome brain fingerprinting: terminology, measures, and target properties
di: Fraschini, Matteo, et al.
Pubblicazione: (2025)

Stability of Brain Functional Network During Working Memory Using Structural Balance Theory
di: Gourabi, Sepehr, et al.
Pubblicazione: (2024)

Characterizing Continuous and Discrete Hybrid Latent Spaces for Structural Connectomes
di: Rudravaram, Gaurav, et al.
Pubblicazione: (2025)

Modularity, Hierarchical Flows and Symmetry of the Drosophila Connectome
di: Grindrod, Peter, et al.
Pubblicazione: (2024)

Discovering Dynamic Effective Connectome of Brain with Bayesian Dynamic DAG Learning
di: Bagheri, Abdolmahdi, et al.
Pubblicazione: (2023)

Discrete Heat Kernels on Simplicial Complexes and Its Application to Functional Brain Networks
di: Dakurah, Sixtus
Pubblicazione: (2025)

Data-Efficient Neural Training with Dynamic Connectomes
di: Wu, Yutong, et al.
Pubblicazione: (2025)

Functional Whole-Brain Models: A New Framework for Unifying Brain Structure and Cognitive Function
di: Senden, Mario, et al.
Pubblicazione: (2026)

Structural Heterogeneity of the Drosophila Brain Network
di: Zhang, Xiaoyu, et al.
Pubblicazione: (2025)

Representation learning in cerebellum-like structures
di: Rudelt, Lucas, et al.
Pubblicazione: (2025)

Confidence is detection-like in high-dimensional spaces
di: Kozyra, Wiktoria, et al.
Pubblicazione: (2024)

Identification of Novel Diagnostic Neuroimaging Biomarkers for Autism Spectrum Disorder Through Convolutional Neural Network-Based Analysis of Functional, Structural, and Diffusion Tensor Imaging Data Towards Enhanced Autism Diagnosis
di: Adhikary, Annie
Pubblicazione: (2023)

Network Dynamics of Emotional Processing: A Structural Balance Theory Approach
di: Gourabi, Sepehr, et al.
Pubblicazione: (2024)

Deconvolving Complex Neuronal Networks into Interpretable Task-Specific Connectomes
di: Wang, Yifan, et al.
Pubblicazione: (2024)

From Bedside to Desktop: A Data Protocol for Normative Intracranial EEG and Abnormality Mapping
di: Woodhouse, Heather, et al.
Pubblicazione: (2025)

Canonical Functionalism: Defining Functional Structure without Observer-Relative Semantic Maps
di: Kanai, Ryota, et al.
Pubblicazione: (2026)

An Analytically Solvable Model of Firing Rate Heterogeneity in Balanced State Networks
di: Schmidt, Alexander, et al.
Pubblicazione: (2023)

From Density to Void: Why Brain Networks Fail to Reveal Complex Higher-Order Structures
di: Chung, Moo K., et al.
Pubblicazione: (2025)

Overcoming the Curse of Dimensionality: Structural Connectivity Reconstruction via Pairwise Information Flow in Nonlinear Networks
di: Chen, Kai, et al.
Pubblicazione: (2025)

Sex Differences in Hierarchical and Modular Organization of Functional Brain Networks: Insights from Hierarchical Entropy and Modularity Analysis
di: Chen, Wenyu, et al.
Pubblicazione: (2024)

Resting State Functional Connectivity Patterns Associate with Alcohol Use Disorder Characteristics: Insights from the Triple Network Model
di: Guerrero, Daniel, et al.
Pubblicazione: (2025)