Cover Image

Learning Task-Agnostic Motifs to Capture the Continuous Nature of Animal Behavior

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Jiyi, Ke, Jingyang, Dai, Bo, Wu, Anqi
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Neurons and Cognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Models
by: Wang, Yule, et al.
Published: (2023)

A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing
by: Li, Chengrui, et al.
Published: (2024)

Multi-Region Markovian Gaussian Process: An Efficient Method to Discover Directional Communications Across Multiple Brain Regions
by: Li, Weihan, et al.
Published: (2024)

A Revisit of Total Correlation in Disentangled Variational Auto-Encoder with Partial Disentanglement
by: Li, Chengrui, et al.
Published: (2025)

Neural-Behavioral Representation of Natural Whole-body Movement in Monkeys
by: He, Jieshi, et al.
Published: (2026)

Topological Cycle Graph Attention Network for Brain Functional Connectivity
by: Huang, Jinghan, et al.
Published: (2024)

State Space Models Naturally Produce Time Cell and Oscillatory Behaviors and Scale to Abstract Cognitive Functions
by: Lu, Sen, et al.
Published: (2025)

The Geometry of Abstraction: Continual Learning via Recursive Quotienting
by: Li, Xin
Published: (2025)

A hitchhiker's guide to Poisson gradient estimation
by: Ibrahim, Michael, et al.
Published: (2026)

Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models
by: Wang, Yule, et al.
Published: (2024)

A Computational Approach to Epilepsy Treatment: An AI-optimized Global Natural Product Prescription System
by: Wang, Zhixuan
Published: (2025)

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

ActiTect: A Generalizable Machine Learning Pipeline for REM Sleep Behavior Disorder Screening through Standardized Actigraphy
by: Bertram, David, et al.
Published: (2025)

Nature's Insight: A Novel Framework and Comprehensive Analysis of Agentic Reasoning Through the Lens of Neuroscience
by: Liu, Zinan, et al.
Published: (2025)

Inpainting the Neural Picture: Inferring Unrecorded Brain Area Dynamics from Multi-Animal Datasets
by: Xia, Ji, et al.
Published: (2025)

Spiking Neural Models for Decision-Making Tasks with Learning
by: Jaffard, Sophie, et al.
Published: (2025)

Comparing and Scaling fMRI Features for Brain-Behavior Prediction
by: Sieler, Mikkel Schöttner, et al.
Published: (2025)

Multi-intention Inverse Q-learning for Interpretable Behavior Representation
by: Zhu, Hao, et al.
Published: (2023)

Algorithm Development in Neural Networks: Insights from the Streaming Parity Task
by: van Rossem, Loek, et al.
Published: (2025)

BACE: Behavior-Adaptive Connectivity Estimation for Interpretable Graphs of Neural Dynamics
by: Asadi, Mehrnaz, et al.
Published: (2025)

Multi-modal Gaussian Process Variational Autoencoders for Neural and Behavioral Data
by: Gondur, Rabia, et al.
Published: (2023)

BioSEN: A Bio-acoustic Signal Enhancement Network for Animal Vocalizations
by: Song, Tianyu, et al.
Published: (2026)

Implicit Behavioral Decoding from Next-Step Spike Forecasts at Population Scale
by: Minnick, John R., et al.
Published: (2026)

BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex Selectivity
by: Luo, Andrew F., et al.
Published: (2023)

On Conformal Isometry of Grid Cells: Learning Distance-Preserving Position Embedding
by: Xu, Dehong, et al.
Published: (2024)

Predicting Cognition from fMRI:A Comparative Study of Graph, Transformer, and Kernel Models Across Task and Rest Conditions
by: Patel, Jagruti, et al.
Published: (2025)

Learning Glioblastoma Tumor Heterogeneity Using Brain Inspired Topological Neural Networks
by: Paul, Ankita, et al.
Published: (2026)

Learning High-Order Relationships of Brain Regions
by: Qiu, Weikang, et al.
Published: (2023)

Population Transformer: Learning Population-level Representations of Neural Activity
by: Chau, Geeling, et al.
Published: (2024)

Is All Learning (Natural) Gradient Descent?
by: Shoji, Lucas, et al.
Published: (2024)

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

BrainOOD: Out-of-distribution Generalizable Brain Network Analysis
by: Xu, Jiaxing, et al.
Published: (2025)

Toward Efficient Spiking Transformers: Synapse Pruning Meets Synergistic Learning-Based Compensation
by: Sun, Hongze, et al.
Published: (2025)

SPD Learn: A Geometric Deep Learning Python Library for Neural Decoding Through Trivialization
by: Aristimunha, Bruno, et al.
Published: (2026)

Analyzing Brain Activity During Learning Tasks with EEG and Machine Learning
by: Cho, Ryan, et al.
Published: (2024)

Bayesian Active Learning for Discrete Latent Variable Models
by: Jha, Aditi, et al.
Published: (2022)

Latent Representation Learning for Multimodal Brain Activity Translation
by: Afrasiyabi, Arman, et al.
Published: (2024)

Hierarchical Latent Structure Learning through Online Inference
by: Aitsahalia, Ines, et al.
Published: (2026)

When Representations Align: Universality in Representation Learning Dynamics
by: van Rossem, Loek, et al.
Published: (2024)

Dynamics of Supervised and Reinforcement Learning in the Non-Linear Perceptron
by: Schmid, Christian, et al.
Published: (2024)