:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Ouyang, Kaichen
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Neurons and Cognition
Online Access:	https://arxiv.org/abs/2507.05263
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Brain Networks and Intelligence: A Graph Neural Network Based Approach to Resting State fMRI Data
by: Thapaliya, Bishal, et al.
Published: (2023)

Accuracy-Efficiency Trade-Offs in Spiking Neural Networks: A Lempel-Ziv Complexity Perspective on Learning Rules
by: Rudnicka, Zofia, et al.
Published: (2025)

Modular Boundaries in Recurrent Neural Networks
by: Tanner, Jacob, et al.
Published: (2023)

Contrastive Graph Pooling for Explainable Classification of Brain Networks
by: Xu, Jiaxing, et al.
Published: (2023)

Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification
by: Noman, Fuad, et al.
Published: (2021)

Hybrid Spiking Neural Networks for Low-Power Intra-Cortical Brain-Machine Interfaces
by: Vasilache, Alexandru, et al.
Published: (2024)

NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics
by: Said, Anwar, et al.
Published: (2023)

Neural Encoding and Decoding at Scale
by: Zhang, Yizi, et al.
Published: (2025)

Neuro-Symbolic Decoding of Neural Activity
by: Wang, Yanchen, et al.
Published: (2026)

DLGE: Dual Local-Global Encoding for Generalizable Cross-BCI-Paradigm
by: Wang, Jingyuan, et al.
Published: (2025)

Balanced Graph Structure Information for Brain Disease Detection
by: Febrinanto, Falih Gozi, et al.
Published: (2023)

JEDI: Jointly Embedded Inference of Neural Dynamics
by: Jamkhandi, Anirudh, et al.
Published: (2026)

Bridging Foundation Models and Efficient Architectures: A Modular Brain Imaging Framework with Local Masking and Pretrained Representation Learning
by: Wang, Yanwen, et al.
Published: (2025)

Contrastive Self-Supervised Learning As Neural Manifold Packing
by: Zhang, Guanming, et al.
Published: (2025)

Credit Assignment via Neural Manifold Noise Correlation
by: Kang, Byungwoo, et al.
Published: (2026)

Contrasformer: A Brain Network Contrastive Transformer for Neurodegenerative Condition Identification
by: Xu, Jiaxing, et al.
Published: (2024)

Defining and Benchmarking a Data-Centric Design Space for Brain Graph Construction
by: Ge, Qinwen, et al.
Published: (2025)

BRAID: Input-Driven Nonlinear Dynamical Modeling of Neural-Behavioral Data
by: Vahidi, Parsa, et al.
Published: (2025)

Discovering Mechanistic Models of Neural Activity: System Identification in an in Silico Zebrafish
by: Lueckmann, Jan-Matthis, et al.
Published: (2026)

Modelling the Effects of Hearing Loss on Neural Coding in the Auditory Midbrain with Variational Conditioning
by: Pellatt, Lloyd, et al.
Published: (2025)

DSAM: A Deep Learning Framework for Analyzing Temporal and Spatial Dynamics in Brain Networks
by: Thapaliya, Bishal, et al.
Published: (2024)

Clustering Inductive Biases with Unrolled Networks
by: Huml, Jonathan, et al.
Published: (2023)

BaRISTA: Brain Scale Informed Spatiotemporal Representation of Human Intracranial Neural Activity
by: Oganesian, Lucine L., et al.
Published: (2025)

Explore Brain-Inspired Machine Intelligence for Connecting Dots on Graphs Through Holographic Blueprint of Oscillatory Synchronization
by: Dan, Tingting, et al.
Published: (2026)

NOBLE -- Neural Operator with Biologically-informed Latent Embeddings to Capture Experimental Variability in Biological Neuron Models
by: Ghafourpour, Luca, et al.
Published: (2025)

Critical Learning Periods Emerge Even in Deep Linear Networks
by: Kleinman, Michael, et al.
Published: (2023)

Rethinking Functional Brain Connectome Analysis: Do Graph Deep Learning Models Help
by: Han, Keqi, et al.
Published: (2025)

Cortex-Inspired Continual Learning: Unsupervised Instantiation and Recovery of Functional Task Networks
by: McKee, Kevin, et al.
Published: (2026)

Emergent Language Symbolic Autoencoder (ELSA) with Weak Supervision to Model Hierarchical Brain Networks
by: Latheef, Ammar Ahmed Pallikonda, et al.
Published: (2024)

KPFlow: An Operator Perspective on Dynamic Collapse Under Gradient Descent Training of Recurrent Networks
by: Hazelden, James, et al.
Published: (2025)

Systems Explaining Systems: A Framework for Intelligence and Consciousness
by: Semmler, Sean Niklas
Published: (2026)

Fast weight programming and linear transformers: from machine learning to neurobiology
by: Irie, Kazuki, et al.
Published: (2025)

Mentality: A Mamba-based Approach towards Foundation Models for EEG
by: Panchavati, Saarang, et al.
Published: (2025)

Shared Attention-based Autoencoder with Hierarchical Fusion-based Graph Convolution Network for sEEG SOZ Identification
by: Yan, Huachao, et al.
Published: (2024)

Complex behavior from intrinsic motivation to occupy action-state path space
by: Ramírez-Ruiz, Jorge, et al.
Published: (2022)

Position: An Inner Interpretability Framework for AI Inspired by Lessons from Cognitive Neuroscience
by: Vilas, Martina G., et al.
Published: (2024)

TAVAE: A VAE with Adaptable Priors Explains Contextual Modulation in the Visual Cortex
by: Meszéna, Balázs, et al.
Published: (2026)

A Systematic Evaluation of Sample-Level Tokenization Strategies for MEG Foundation Models
by: Cho, SungJun, et al.
Published: (2026)

A data-driven approach to modeling brain activity using differential equations
by: Andrey, Kuratov
Published: (2024)

Revealing Neurocognitive and Behavioral Patterns by Unsupervised Manifold Learning from Dynamic Brain Data
by: Zhou, Zixia, et al.
Published: (2025)