Saved in:
| Main Authors: | Sheng, Wenyuan, Zhu, Hao, Boedecker, Joschka |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.26998 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Solving Inverse Problem for Multi-armed Bandits via Convex Optimization
by: Zhu, Hao, et al.
Published: (2025)
by: Zhu, Hao, et al.
Published: (2025)
Inverse Reinforcement Learning via Convex Optimization
by: Zhu, Hao, et al.
Published: (2025)
by: Zhu, Hao, et al.
Published: (2025)
Multi-intention Inverse Q-learning for Interpretable Behavior Representation
by: Zhu, Hao, et al.
Published: (2023)
by: Zhu, Hao, et al.
Published: (2023)
Fitting Reinforcement Learning Model to Behavioral Data under Bandits
by: Zhu, Hao, et al.
Published: (2025)
by: Zhu, Hao, et al.
Published: (2025)
Emergence of Grid-like Representations by Training Recurrent Networks with Conformal Normalization
by: Xu, Dehong, et al.
Published: (2023)
by: Xu, Dehong, et al.
Published: (2023)
Benchmarking Probabilistic Time Series Forecasting Models on Neural Activity
by: Lu, Ziyu, et al.
Published: (2025)
by: Lu, Ziyu, et al.
Published: (2025)
Lattice-Based Pruning in Recurrent Neural Networks via Poset Modeling
by: Sengupta, Rakesh
Published: (2025)
by: Sengupta, Rakesh
Published: (2025)
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)
NECOMIMI: Neural-Cognitive Multimodal EEG-informed Image Generation with Diffusion Models
by: Chen, Chi-Sheng
Published: (2024)
by: Chen, Chi-Sheng
Published: (2024)
Probabilistic Prediction of Neural Dynamics via Autoregressive Flow Matching
by: Rogalla, Nicole, et al.
Published: (2026)
by: Rogalla, Nicole, et al.
Published: (2026)
Probabilistic Geometric Principal Component Analysis with application to neural data
by: Hsieh, Han-Lin, et al.
Published: (2025)
by: Hsieh, Han-Lin, et al.
Published: (2025)
Modular Boundaries in Recurrent Neural Networks
by: Tanner, Jacob, et al.
Published: (2023)
by: Tanner, Jacob, et al.
Published: (2023)
Lost in the Middle: An Emergent Property from Information Retrieval Demands in LLMs
by: Salvatore, Nikolaus, et al.
Published: (2025)
by: Salvatore, Nikolaus, et al.
Published: (2025)
ε-Neural Thompson Sampling of Deep Brain Stimulation for Parkinson Disease Treatment
by: Hsu, Hao-Lun, et al.
Published: (2024)
by: Hsu, Hao-Lun, et al.
Published: (2024)
Place Cells as Multi-Scale Position Embeddings: Random Walk Transition Kernels for Path Planning
by: Zhao, Minglu, et al.
Published: (2025)
by: Zhao, Minglu, et al.
Published: (2025)
On Conformal Isometry of Grid Cells: Learning Distance-Preserving Position Embedding
by: Xu, Dehong, et al.
Published: (2024)
by: Xu, Dehong, et al.
Published: (2024)
SPINT: Spatial Permutation-Invariant Neural Transformer for Consistent Intracortical Motor Decoding
by: Le, Trung, et al.
Published: (2025)
by: Le, Trung, et al.
Published: (2025)
Large Cognition Model: Towards Pretrained EEG Foundation Model
by: Chen, Chi-Sheng, et al.
Published: (2025)
by: Chen, Chi-Sheng, 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)
Bayesian Active Learning for Discrete Latent Variable Models
by: Jha, Aditi, et al.
Published: (2022)
by: Jha, Aditi, et al.
Published: (2022)
Modeling Neural Activity with Conditionally Linear Dynamical Systems
by: Geadah, Victor, et al.
Published: (2025)
by: Geadah, Victor, et al.
Published: (2025)
Differentiable Optimization of Similarity Scores Between Models and Brains
by: Cloos, Nathan, et al.
Published: (2024)
by: Cloos, Nathan, et al.
Published: (2024)
Integration of Calcium Imaging Traces via Deep Generative Modeling
by: Ros, Berta, et al.
Published: (2025)
by: Ros, Berta, et al.
Published: (2025)
Modeling Visual Hallucination: A Generative Adversarial Network Framework
by: Zareh, Masoumeh, et al.
Published: (2021)
by: Zareh, Masoumeh, et al.
Published: (2021)
NeuralBench: A Unifying Framework to Benchmark NeuroAI Models
by: Banville, Hubert, et al.
Published: (2026)
by: Banville, Hubert, et al.
Published: (2026)
Nonlinear Dynamical Modeling of Human Intracranial Brain Activity with Flexible Inference
by: Vaziri, Kiarash, et al.
Published: (2025)
by: Vaziri, Kiarash, et al.
Published: (2025)
Meta-Dynamical State Space Models for Integrative Neural Data Analysis
by: Vermani, Ayesha, et al.
Published: (2024)
by: Vermani, Ayesha, et al.
Published: (2024)
Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex
by: Yu, Muquan, et al.
Published: (2025)
by: Yu, Muquan, et al.
Published: (2025)
A Foundational Brain Dynamics Model via Stochastic Optimal Control
by: Park, Joonhyeong, et al.
Published: (2025)
by: Park, Joonhyeong, et al.
Published: (2025)
Generative Modeling of Neural Dynamics via Latent Stochastic Differential Equations
by: ElGazzar, Ahmed, et al.
Published: (2024)
by: ElGazzar, Ahmed, et al.
Published: (2024)
Sequence-to-Sequence Models with Attention Mechanistically Map to the Architecture of Human Memory Search
by: Salvatore, Nikolaus, et al.
Published: (2025)
by: Salvatore, Nikolaus, et al.
Published: (2025)
Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Models
by: Wang, Yule, et al.
Published: (2023)
by: Wang, Yule, et al.
Published: (2023)
A Deep Learning Model of Mental Rotation Informed by Interactive VR Experiments
by: Khazoum, Raymond, et al.
Published: (2025)
by: Khazoum, Raymond, et al.
Published: (2025)
Latent Variable Double Gaussian Process Model for Decoding Complex Neural Data
by: Ziaei, Navid, et al.
Published: (2024)
by: Ziaei, Navid, et al.
Published: (2024)
Leveraging Recurrent Neural Networks for Predicting Motor Movements from Primate Motor Cortex Neural Recordings
by: Wang, Yuanxi, et al.
Published: (2024)
by: Wang, Yuanxi, et al.
Published: (2024)
A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing
by: Li, Chengrui, et al.
Published: (2024)
by: Li, Chengrui, et al.
Published: (2024)
SynapsNet: Enhancing Neuronal Population Dynamics Modeling via Learning Functional Connectivity
by: Delavari, Parsa, et al.
Published: (2024)
by: Delavari, Parsa, 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)
by: Marin-Llobet, Arnau, et al.
Published: (2025)
Hierarchical Multiscale Structure-Function Coupling for Brain Connectome Integration
by: Chen, Jianwei, et al.
Published: (2026)
by: Chen, Jianwei, et al.
Published: (2026)
A Brain Graph Foundation Model: Pre-Training and Prompt-Tuning across Broad Atlases and Disorders
by: Wei, Xinxu, et al.
Published: (2025)
by: Wei, Xinxu, et al.
Published: (2025)
Similar Items
-
Solving Inverse Problem for Multi-armed Bandits via Convex Optimization
by: Zhu, Hao, et al.
Published: (2025) -
Inverse Reinforcement Learning via Convex Optimization
by: Zhu, Hao, et al.
Published: (2025) -
Multi-intention Inverse Q-learning for Interpretable Behavior Representation
by: Zhu, Hao, et al.
Published: (2023) -
Fitting Reinforcement Learning Model to Behavioral Data under Bandits
by: Zhu, Hao, et al.
Published: (2025) -
Emergence of Grid-like Representations by Training Recurrent Networks with Conformal Normalization
by: Xu, Dehong, et al.
Published: (2023)