:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Olza, Alexander, Soto, David, Santana, Roberto
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Neurons and Cognition J.3; I.2
Online Access:	https://arxiv.org/abs/2408.01163
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DecNefSimulator: A Modular, Interpretable Framework for Decoded Neurofeedback Simulation Using Generative Models
by: Olza, Alexander, et al.
Published: (2025)

How does the brain compute with probabilities?
by: Haefner, Ralf M., et al.
Published: (2024)

Data Integration with Fusion Searchlight: Classifying Brain States from Resting-state fMRI
by: Wein, Simon, et al.
Published: (2024)

Riemannian Geometry for the classification of brain states with intracortical brain-computer interfaces
by: Marin-Llobet, Arnau, et al.
Published: (2025)

Examining Reject Relations in Stimulus Equivalence Simulations
by: Carrillo, Alexis, et al.
Published: (2025)

Identifying Autism-Related Neurobiomarkers Using Hybrid Deep Learning Models
by: Chen, Ashley
Published: (2025)

Ensemble-based graph representation of fMRI data for cognitive brain state classification
by: Vlasenko, Daniil, et al.
Published: (2025)

Untrained CNNs Match Backpropagation at V1: A Systematic RSA Comparison of Four Learning Rules Against Human fMRI
by: Leutenegger, Nils
Published: (2026)

Generative forecasting of brain activity enhances Alzheimer's classification and interpretation
by: Gao, Yutong, et al.
Published: (2024)

Closed-Loop phase selection in EEG-TMS using Bayesian Optimization
by: Kirchhoff, Miriam, et al.
Published: (2024)

Transformer brain encoders explain human high-level visual responses
by: Adeli, Hossein, et al.
Published: (2025)

HDGL: A hierarchical dynamic graph representation learning model for brain disorder classification
by: Jalali, Parnian, et al.
Published: (2023)

Early Detection of Cognitive Impairment in Elderly using a Passive FPVS-EEG BCI and Machine Learning -- Extended Version
by: Rutkowski, Tomasz M., et al.
Published: (2025)

Dual Stream Graph Transformer Fusion Networks for Enhanced Brain Decoding
by: Goene, Lucas, et al.
Published: (2024)

Deep learning and whole-brain networks for biomarker discovery: modeling the dynamics of brain fluctuations in resting-state and cognitive tasks
by: Roffet, Facundo, et al.
Published: (2024)

De-Individualizing fMRI Signals via Mahalanobis Whitening and Bures Geometry
by: Jacobson, Aaron, et al.
Published: (2025)

HiLWS: A Human-in-the-Loop Weak Supervision Framework for Curating Clinical and Home Video Data for Neurological Assessment
by: Irani, Atefeh, et al.
Published: (2025)

Cognitive Modelling Aspects of Neurodevelopmental Disorders Using Standard and Oscillating Neighbourhood SOM Neural Networks
by: Revithis, Spyridon, et al.
Published: (2025)

Robust and Clinically Reliable EEG Biomarkers: A Cross Population Framework for Generalizable Parkinson's Disease Detection
by: Rasmussen, Nicholas R., et al.
Published: (2026)

Speaker-Independent Dysarthria Severity Classification using Self-Supervised Transformers and Multi-Task Learning
by: Stumpf, Lauren, et al.
Published: (2024)

Online decoding of rat self-paced locomotion speed from EEG using recurrent neural networks
by: de Miguel, Alejandro, et al.
Published: (2026)

Automated Optical Density Normalization for Myelin Quantification: Cross-Modal Validation with 7T Ex Vivo MRI
by: Khodakarami, Zahra, et al.
Published: (2026)

Sparse Autoencoders Map Brain-LLM Alignment onto Cortical Semantic Topography
by: Guo, Dongxin, et al.
Published: (2026)

Mechanistically Interpretable Neural Encoding Reveals Fine-Grained Functional Selectivity in Human Visual Cortex
by: Grosbard, Idan Daniel, et al.
Published: (2026)

BrainNPT: Pre-training of Transformer networks for brain network classification
by: Hu, Jinlong, et al.
Published: (2023)

Deep learning in a bilateral brain with hemispheric specialization
by: Rajagopalan, Chandramouli, et al.
Published: (2022)

An Interpretable Transformer-Based Foundation Model for Cross-Procedural Skill Assessment Using Raw fNIRS Signals
by: Subedi, A., et al.
Published: (2025)

BrainMAE: A Region-aware Self-supervised Learning Framework for Brain Signals
by: Yang, Yifan, et al.
Published: (2024)

Scaling and context steer LLMs along the same computational path as the human brain
by: Raugel, Joséphine, et al.
Published: (2025)

Volume-Wise Task fMRI Decoding with Deep Learning:Enhancing Temporal Resolution and Cognitive Function Analysis
by: Wu, Yueyang, et al.
Published: (2025)

From Cortical Synchronous Rhythm to Brain Inspired Learning Mechanism: An Oscillatory Spiking Neural Network with Time-Delayed Coordination
by: Dan, Tingting, et al.
Published: (2026)

Unified Policy Value Decomposition for Rapid Adaptation
by: Capone, Cristiano, et al.
Published: (2026)

Human-aligned Deep Learning: Explainability, Causality, and Biological Inspiration
by: Carloni, Gianluca
Published: (2025)

Construction of a classification model for dementia among Brazilian adults aged 50 and over
by: Menezes, F. S., et al.
Published: (2026)

A computational model of infant sensorimotor exploration in the mobile paradigm
by: Spisak, Josua, et al.
Published: (2025)

Group-specific discriminant analysis reveals statistically validated sex differences in lateralization of brain functional network
by: Zhou, Shuo, et al.
Published: (2024)

From eye to AI: studying rodent social behavior in the era of machine Learning
by: Chindemi, Giuseppe, et al.
Published: (2025)

Compressed representation of brain genetic transcription
by: Ruffle, James K, et al.
Published: (2023)

Geometric Neural Network based on Phase Space for BCI-EEG decoding
by: Carrara, Igor, et al.
Published: (2024)

Deep probabilistic model synthesis enables unified modeling of whole-brain neural activity across individual subjects
by: Bishop, William E., et al.
Published: (2026)