Latent Variable Double Gaussian Process Model for Decoding Complex Neural Data
Fuente:
arXiv
Saved in:
| Main Authors: | Ziaei, Navid, Stim, Joshua J., Goodman-Keiser, Melanie D., Sponheim, Scott, Widge, Alik S., Krikorian, Sasoun, Yousefi, Ali |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bayesian Time-Series Classifier for Decoding Simple Visual Stimuli from Intracranial Neural Activity
by: Ziaei, Navid, et al.
Published: (2023)
by: Ziaei, Navid, et al.
Published: (2023)
RISE-iEEG: Robust to Inter-Subject Electrodes Implantation Variability iEEG Classifier
by: Memar, Maryam Ostadsharif, et al.
Published: (2024)
by: Memar, Maryam Ostadsharif, et al.
Published: (2024)
A Bayesian Gaussian Process-Based Latent Discriminative Generative Decoder (LDGD) Model for High-Dimensional Data
by: Ziaei, Navid, et al.
Published: (2024)
by: Ziaei, Navid, et al.
Published: (2024)
Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems
by: Hu, Amber, et al.
Published: (2024)
by: Hu, Amber, et al.
Published: (2024)
Multi-Modal Latent Variables for Cross-Individual Primary Visual Cortex Modeling and Analysis
by: Zhu, Yu, et al.
Published: (2024)
by: Zhu, Yu, et al.
Published: (2024)
Multi-dimensional Neural Decoding with Orthogonal Representations for Brain-Computer Interfaces
by: Tian, Kaixi, et al.
Published: (2025)
by: Tian, Kaixi, et al.
Published: (2025)
Decoding Predictive Inference in Visual Language Processing via Spatiotemporal Neural Coherence
by: Borneman, Sean C., et al.
Published: (2025)
by: Borneman, Sean C., et al.
Published: (2025)
Beyond Neural Activity Prediction: Probing Latent Representations in Mouse V1 Digital Twins
by: Lima, Adriano, et al.
Published: (2026)
by: Lima, Adriano, et al.
Published: (2026)
Multi-modal Gaussian Process Variational Autoencoders for Neural and Behavioral Data
by: Gondur, Rabia, et al.
Published: (2023)
by: Gondur, Rabia, et al.
Published: (2023)
Bayesian Approaches for Revealing Complex Neural Network Dynamics in Parkinson's Disease
by: Shaheen, Hina, et al.
Published: (2024)
by: Shaheen, Hina, et al.
Published: (2024)
Bayesian Active Learning for Discrete Latent Variable Models
by: Jha, Aditi, et al.
Published: (2022)
by: Jha, Aditi, et al.
Published: (2022)
Integrated Information Theory: A Consciousness-First Approach to What Exists
by: Tononi, Giulio, et al.
Published: (2025)
by: Tononi, Giulio, et al.
Published: (2025)
A Neural Network Model of the Entorhinal Cortex and Hippocampus for Event-order Memory Processing
by: Nakagawa, Hiroki, et al.
Published: (2021)
by: Nakagawa, Hiroki, et al.
Published: (2021)
Audio Outperforms Text for Visual Decoding
by: Zhang, Zhengdi, et al.
Published: (2026)
by: Zhang, Zhengdi, et al.
Published: (2026)
Sleep Disorder Diagnosis Using EEG Signals and LSTM Deep Learning Method
by: Yousefi, Mohammad Reza, et al.
Published: (2025)
by: Yousefi, Mohammad Reza, et al.
Published: (2025)
Quantifying Signal-to-Noise Ratio in Neural Latent Trajectories via Fisher Information
by: Jeon, Hyungju, et al.
Published: (2024)
by: Jeon, Hyungju, et al.
Published: (2024)
Partitioning Neural Co-Variability
by: Thomas, Skyler, et al.
Published: (2026)
by: Thomas, Skyler, et al.
Published: (2026)
Latent Diffusion for Neural Spiking Data
by: Kapoor, Jaivardhan, et al.
Published: (2024)
by: Kapoor, Jaivardhan, et al.
Published: (2024)
Decoding the science behind antioxidant -antiinflammatory nutraceuticals in stroke
by: Béraud-Dufour, Sophie, et al.
Published: (2025)
by: Béraud-Dufour, Sophie, et al.
Published: (2025)
EEG Based Decoding of the Perception and Regulation of Taboo Words
by: Ghomroudi, Parisa Ahmadi, et al.
Published: (2024)
by: Ghomroudi, Parisa Ahmadi, et al.
Published: (2024)
Biomimetic Metamaterial-based Interface for Decoding Heterogeneous Mechanodermal Activity
by: Xu, Muzi, et al.
Published: (2025)
by: Xu, Muzi, et al.
Published: (2025)
Langevin Flows for Modeling Neural Latent Dynamics
by: Song, Yue, et al.
Published: (2025)
by: Song, Yue, et al.
Published: (2025)
Lesion-Independent Associations Between Thalamic Nuclei Volumes and Information Processing Speed in Multiple Sclerosis
by: Pooladi-Darvish, Arshya, et al.
Published: (2025)
by: Pooladi-Darvish, Arshya, et al.
Published: (2025)
Conserved Kinematic Representations enable Zero-Shot Decoding in Handwriting BCIs
by: Ravishankar, Srinivas, et al.
Published: (2026)
by: Ravishankar, Srinivas, et al.
Published: (2026)
GET: A Generative EEG Transformer for Continuous Context-Based Neural Signals
by: Ali, Omair, et al.
Published: (2024)
by: Ali, Omair, et al.
Published: (2024)
Latent computing by biological neural networks: A dynamical systems framework
by: Dinc, Fatih, et al.
Published: (2025)
by: Dinc, Fatih, et al.
Published: (2025)
Bayesian Inference of Psychometric Variables From Brain and Behavior in Implicit Association Tests
by: Kothe, Christian A., et al.
Published: (2026)
by: Kothe, Christian A., et al.
Published: (2026)
Decoding Alignment without Encoding Alignment: A critique of similarity analysis in neuroscience
by: Bertram, Johannes, et al.
Published: (2026)
by: Bertram, Johannes, et al.
Published: (2026)
Decoding Imagined Movement in People with Multiple Sclerosis for Brain-Computer Interface Translation
by: Russo, John S., et al.
Published: (2024)
by: Russo, John S., et al.
Published: (2024)
Towards Unified Neural Decoding with Brain Functional Network Modeling
by: Wu, Di, et al.
Published: (2025)
by: Wu, Di, et al.
Published: (2025)
BrainCognizer: Brain Decoding with Human Visual Cognition Simulation for fMRI-to-Image Reconstruction
by: Sun, Guoying, et al.
Published: (2025)
by: Sun, Guoying, et al.
Published: (2025)
Neural geometry in the human hippocampus enables generalization across spatial position and gaze
by: Chericoni, Assia, et al.
Published: (2026)
by: Chericoni, Assia, et al.
Published: (2026)
How 'Neural' is a Neural Foundation Model?
by: Bertram, Johannes, et al.
Published: (2026)
by: Bertram, Johannes, et al.
Published: (2026)
Unsupervised Machine Learning Identifies Latent Ultradian States in Multi-Modal Wearable Sensor Signals
by: Thornton, Christopher, et al.
Published: (2024)
by: Thornton, Christopher, et al.
Published: (2024)
Gradient of White Matter Functional Variability via fALFF Differential Identifiability
by: Chang, Xinle, et al.
Published: (2025)
by: Chang, Xinle, et al.
Published: (2025)
A Model-Free Method to Quantify Memory Utilization in Neural Point Processes
by: Mijatovic, Gorana, et al.
Published: (2024)
by: Mijatovic, Gorana, et al.
Published: (2024)
Generative Modeling of Neural Dynamics via Latent Stochastic Differential Equations
by: ElGazzar, Ahmed, et al.
Published: (2024)
by: ElGazzar, Ahmed, et al.
Published: (2024)
Diffusion-Based Generation of Neural Activity from Disentangled Latent Codes
by: McCart, Jonathan D., et al.
Published: (2024)
by: McCart, Jonathan D., et al.
Published: (2024)
Neural Representational Consistency Emerges from Probabilistic Neural-Behavioral Representation Alignment
by: Zhu, Yu, et al.
Published: (2025)
by: Zhu, Yu, et al.
Published: (2025)
Rogue Variable Theory: A Quantum-Compatible Cognition Framework with a Rosetta Stone Alignment Algorithm
by: Małecki, Jacek, et al.
Published: (2026)
by: Małecki, Jacek, et al.
Published: (2026)
Similar Items
-
Bayesian Time-Series Classifier for Decoding Simple Visual Stimuli from Intracranial Neural Activity
by: Ziaei, Navid, et al.
Published: (2023) -
RISE-iEEG: Robust to Inter-Subject Electrodes Implantation Variability iEEG Classifier
by: Memar, Maryam Ostadsharif, et al.
Published: (2024) -
A Bayesian Gaussian Process-Based Latent Discriminative Generative Decoder (LDGD) Model for High-Dimensional Data
by: Ziaei, Navid, et al.
Published: (2024) -
Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems
by: Hu, Amber, et al.
Published: (2024) -
Multi-Modal Latent Variables for Cross-Individual Primary Visual Cortex Modeling and Analysis
by: Zhu, Yu, et al.
Published: (2024)