Brain-Like Replay Naturally Emerges in Reinforcement Learning Agents
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Jiyi, Tang, Likai, Chen, Huimiao, Mattar, Marcelo G, Song, Sen |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Personalized Transcranial Electrical Stimulation: A Review of Computational Modeling and Optimization
by: Wang, Mo, et al.
Published: (2025)
by: Wang, Mo, et al.
Published: (2025)
From Brain Models to Executable Digital Twins: Execution Semantics and Neuro-Neuromorphic Systems
by: Muzy, Alexandre
Published: (2026)
by: Muzy, Alexandre
Published: (2026)
The Principle of Maximum Heterogeneity Optimises Productivity in Distributed Production Systems Across Biology, Economics, and Computing
by: Artis, Guillhem, et al.
Published: (2026)
by: Artis, Guillhem, et al.
Published: (2026)
Plastic Arbor: a modern simulation framework for synaptic plasticity -- from single synapses to networks of morphological neurons
by: Luboeinski, Jannik, et al.
Published: (2024)
by: Luboeinski, Jannik, et al.
Published: (2024)
A Differentiable Approach to Multi-scale Brain Modeling
by: Wang, Chaoming, et al.
Published: (2024)
by: Wang, Chaoming, et al.
Published: (2024)
Spiking neurons as predictive controllers of linear systems
by: Agliati, Paolo, et al.
Published: (2025)
by: Agliati, Paolo, et al.
Published: (2025)
Brain-Like Processing Pathways Form in Models With Heterogeneous Experts
by: Cook, Jack, et al.
Published: (2025)
by: Cook, Jack, et al.
Published: (2025)
Understanding Electro-communication and Electro-sensing in Weakly Electric Fish using Multi-Agent Deep Reinforcement Learning
by: Singh, Satpreet H., et al.
Published: (2025)
by: Singh, Satpreet H., et al.
Published: (2025)
Diverse Neural Sequences in QIF Networks: An Analytically Tractable Framework for Synfire Chains and Hippocampal Replay
by: Shimizu, Genki, et al.
Published: (2025)
by: Shimizu, Genki, et al.
Published: (2025)
Coin-Flipping In The Brain: Statistical Learning with Neuronal Assemblies
by: Dabagia, Max, et al.
Published: (2024)
by: Dabagia, Max, et al.
Published: (2024)
CL API: Real-Time Closed-Loop Interactions with Biological Neural Networks
by: Hogan, David, et al.
Published: (2026)
by: Hogan, David, et al.
Published: (2026)
Biologically-Plausible Topology Improved Spiking Actor Network for Efficient Deep Reinforcement Learning
by: Zhang, Duzhen, et al.
Published: (2024)
by: Zhang, Duzhen, et al.
Published: (2024)
Analysis of a Spatialized Brain-Body-Environment System
by: Pak, Denizhan, et al.
Published: (2025)
by: Pak, Denizhan, et al.
Published: (2025)
A Computational Framework for Modeling Emergence of Color Vision in the Human Brain
by: Kotani, Atsunobu, et al.
Published: (2024)
by: Kotani, Atsunobu, et al.
Published: (2024)
Bridging Brains and Machines: A Unified Frontier in Neuroscience, Artificial Intelligence, and Neuromorphic Systems
by: Shankar, Sohan, et al.
Published: (2025)
by: Shankar, Sohan, et al.
Published: (2025)
BrainFuse: a unified infrastructure integrating realistic biological modeling and core AI methodology
by: Chen, Baiyu, et al.
Published: (2026)
by: Chen, Baiyu, et al.
Published: (2026)
Preliminary Results of Neuromorphic Controller Design and a Parkinson's Disease Dataset Building for Closed-Loop Deep Brain Stimulation
by: Biswas, Ananna, et al.
Published: (2024)
by: Biswas, Ananna, et al.
Published: (2024)
Neural Computation Without Slots: Steps Towards Biologically Plausible Memory and Attention in Natural and Artificial Intelligence
by: Bhandarkar, Shaunak, et al.
Published: (2025)
by: Bhandarkar, Shaunak, et al.
Published: (2025)
TopoNets: High Performing Vision and Language Models with Brain-Like Topography
by: Deb, Mayukh, et al.
Published: (2025)
by: Deb, Mayukh, et al.
Published: (2025)
Global stability of a Hebbian/anti-Hebbian network for principal subspace learning
by: Lipshutz, David, et al.
Published: (2026)
by: Lipshutz, David, et al.
Published: (2026)
Allee Synaptic Plasticity and Memory
by: Kwessi, Eddy
Published: (2025)
by: Kwessi, Eddy
Published: (2025)
The Influence of Initial Connectivity on Biologically Plausible Learning
by: Liu, Weixuan, et al.
Published: (2024)
by: Liu, Weixuan, et al.
Published: (2024)
Brain-inspired AI Agent: The Way Towards AGI
by: Yu, Bo, et al.
Published: (2024)
by: Yu, Bo, et al.
Published: (2024)
Smooth Exact Gradient Descent Learning in Spiking Neural Networks
by: Klos, Christian, et al.
Published: (2023)
by: Klos, Christian, et al.
Published: (2023)
PaceLLM: Brain-Inspired Large Language Models for Long-Context Understanding
by: Li, Kangcong, et al.
Published: (2025)
by: Li, Kangcong, et al.
Published: (2025)
Tuning the Weights: The Impact of Initial Matrix Configurations on Successor Features Learning Efficacy
by: Lee, Hyunsu
Published: (2021)
by: Lee, Hyunsu
Published: (2021)
Time-Evolving Dynamical System for Learning Latent Representations of Mouse Visual Neural Activity
by: Huang, Liwei, et al.
Published: (2024)
by: Huang, Liwei, et al.
Published: (2024)
A Variational Latent Equilibrium for Learning in Neuronal Circuits
by: Brandt, Simon, et al.
Published: (2026)
by: Brandt, Simon, et al.
Published: (2026)
Structure of activity in multiregion recurrent neural networks
by: Clark, David G., et al.
Published: (2024)
by: Clark, David G., et al.
Published: (2024)
Connectivity structure and dynamics of nonlinear recurrent neural networks
by: Clark, David G., et al.
Published: (2024)
by: Clark, David G., et al.
Published: (2024)
Simplified derivations for high-dimensional convex learning problems
by: Clark, David G., et al.
Published: (2024)
by: Clark, David G., et al.
Published: (2024)
Identifying the impact of local connectivity patterns on dynamics in excitatory-inhibitory networks
by: Shao, Yuxiu, et al.
Published: (2024)
by: Shao, Yuxiu, et al.
Published: (2024)
Response time of lateral predictive coding and benefits of modular structures
by: Cai, Guanghui, et al.
Published: (2026)
by: Cai, Guanghui, et al.
Published: (2026)
Theory of coupled neuronal-synaptic dynamics
by: Clark, David G., et al.
Published: (2023)
by: Clark, David G., et al.
Published: (2023)
Teaching signal synchronization in deep neural networks with prospective neurons
by: Zucchet, Nicoas, et al.
Published: (2025)
by: Zucchet, Nicoas, et al.
Published: (2025)
On Broken Symmetry in Cognition
by: Li, Xin
Published: (2023)
by: Li, Xin
Published: (2023)
Building functional and mechanistic models of cortical computation based on canonical cell type connectivity
by: Granier, Arno, et al.
Published: (2025)
by: Granier, Arno, et al.
Published: (2025)
"What" x "When" working memory representations using Laplace Neural Manifolds
by: Sarkar, Aakash, et al.
Published: (2024)
by: Sarkar, Aakash, et al.
Published: (2024)
The generalized Hierarchical Gaussian Filter
by: Weber, Lilian Aline, et al.
Published: (2023)
by: Weber, Lilian Aline, et al.
Published: (2023)
Exploring the role of structure in a time constrained decision task
by: Chaix-Eichel, Naomi, et al.
Published: (2024)
by: Chaix-Eichel, Naomi, et al.
Published: (2024)
Similar Items
-
Personalized Transcranial Electrical Stimulation: A Review of Computational Modeling and Optimization
by: Wang, Mo, et al.
Published: (2025) -
From Brain Models to Executable Digital Twins: Execution Semantics and Neuro-Neuromorphic Systems
by: Muzy, Alexandre
Published: (2026) -
The Principle of Maximum Heterogeneity Optimises Productivity in Distributed Production Systems Across Biology, Economics, and Computing
by: Artis, Guillhem, et al.
Published: (2026) -
Plastic Arbor: a modern simulation framework for synaptic plasticity -- from single synapses to networks of morphological neurons
by: Luboeinski, Jannik, et al.
Published: (2024) -
A Differentiable Approach to Multi-scale Brain Modeling
by: Wang, Chaoming, et al.
Published: (2024)