Cover Image

The Coordinate System Problem in Persistent Structural Memory for Neural Architectures

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Basu, Abhinaba
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence Neural and Evolutionary Computing Neurons and Cognition 68T07, 68T05, 92B20 I.2.6; I.2.11; I.5.1
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Structural Plasticity as Active Inference: A Biologically-Inspired Architecture for Homeostatic Control
by: Hill, Brennen A.
Published: (2025)

"Efficient Complexity": a Constrained Optimization Approach to the Evolution of Natural Intelligence
by: Dolgikh, Serge
Published: (2024)

The GAIN Model: A Nature-Inspired Neural Network Framework Based on an Adaptation of the Izhikevich Model
by: Hooper, Gage K. R.
Published: (2025)

Persistent Memory Through Triple-Loop Consolidation in a Non-Gradient Dissipative Cognitive Architecture
by: Lou, Jianwei
Published: (2026)

Dynamical Alignment: A Principle for Adaptive Neural Computation
by: Chen, Xia
Published: (2025)

Territory Paint Wars: Diagnosing and Mitigating Failure Modes in Competitive Multi-Agent PPO
by: Singh, Diyansha
Published: (2026)

Agentic Discovery of Neural Architectures: AIRA-Compose and AIRA-Design
by: Pepe, Alberto, et al.
Published: (2026)

Perforated Neural Networks for Keyword Spotting
by: Gopal, Vishy, et al.
Published: (2026)

mlx-snn: Spiking Neural Networks on Apple Silicon via MLX
by: Qin, Jiahao
Published: (2026)

Spiking Sequence Machines and Transformers
by: Bose, Joy
Published: (2026)

AI Agents: Evolution, Architecture, and Real-World Applications
by: Krishnan, Naveen
Published: (2025)

The Physical Basis of Prediction: World Model Formation in Neural Organoids via an LLM-Generated Curriculum
by: Hill, Brennen
Published: (2025)

Adaptive Latent-Space Constraints in Personalized Federated Learning
by: Ayromlou, Sana, et al.
Published: (2025)

Phase-Coded Memory and Morphological Resonance: A Next-Generation Retrieval-Augmented Generator Architecture
by: Saklakov, Denis V.
Published: (2025)

Emergence of Self-Awareness in Artificial Systems: A Minimalist Three-Layer Approach to Artificial Consciousness
by: Iida, Kurando
Published: (2025)

DeepPersona: A Generative Engine for Scaling Deep Synthetic Personas
by: Wang, Zhen, et al.
Published: (2025)

Benchmarking the Limits of In-Context Reinforcement Learning for Ad-Hoc Teamwork
by: Jing, Yuheng, et al.
Published: (2026)

Pulse-Driven Neural Architecture: Learnable Oscillatory Dynamics for Robust Continuous-Time Sequence Processing
by: Sharma, Paras
Published: (2026)

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

Loss shaping enhances exact gradient learning with Eventprop in spiking neural networks
by: Nowotny, Thomas, et al.
Published: (2022)

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

AiGAS-dEVL-RC: An Adaptive Growing Neural Gas Model for Recurrently Drifting Unsupervised Data Streams
by: Arostegi, Maria, et al.
Published: (2025)

Interpretation, Learning, and Empathy as One Constraint: A Residual-Adequacy Architecture with Accountable Abstention
by: Amornbunchornvej, Chainarong
Published: (2026)

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)

NeurOptimisation: The Spiking Way to Evolve
by: Cruz-Duarte, Jorge Mario, et al.
Published: (2025)

Your Data, My Model: Learning Who Really Helps in Federated Learning
by: Abdurakhmanova, Shamsiiat, et al.
Published: (2024)

Dynamic Dual-Granularity Skill Bank for Agentic RL
by: Tu, Songjun, et al.
Published: (2026)

Reservoir Computing with Evolved Critical Neural Cellular Automata
by: Pontes-Filho, Sidney, et al.
Published: (2025)

A Theory of Multilevel Interactive Equilibrium in NeuroAI
by: Chen, Zhe Sage, et al.
Published: (2026)

Generating Realistic Safety-Critical Scenarios for Vehicle-Pedestrian Interactions
by: Pu, Qingwen, et al.
Published: (2026)

Adaptive Minds: Empowering Agents with LoRA-as-Tools
by: Shekar, Pavan C, et al.
Published: (2025)

AI Mother Tongue: Self-Emergent Communication in MARL via Endogenous Symbol Systems
by: Liu, Hung Ming
Published: (2025)

Decentralized Time Series Classification with ROCKET Features
by: Casella, Bruno, et al.
Published: (2025)

Evolved Developmental Artificial Neural Networks for Multitasking with Advanced Activity Dependence
by: Zhang, Yintong, et al.
Published: (2024)

Client-Conditional Federated Learning via Local Training Data Statistics
by: Brännvall, Rickard
Published: (2026)

Energy-Efficient Neuromorphic Computing for Edge AI: A Framework with Adaptive Spiking Neural Networks and Hardware-Aware Optimization
by: Imanov, Olaf Yunus Laitinen, et al.
Published: (2026)

NeuroState-Bench: A Human-Calibrated Benchmark for Commitment Integrity in LLM Agent Profiles
by: Jia, Xiao
Published: (2026)

When Does Content-Based Routing Work? Representation Requirements for Selective Attention in Hybrid Sequence Models
by: Basu, Abhinaba
Published: (2026)

Dissecting Larval Zebrafish Hunting using Deep Reinforcement Learning Trained RNN Agents
by: Malik, Raaghav, et al.
Published: (2025)

On the Fundamental Limitations of Decentralized Learnable Reward Shaping in Cooperative Multi-Agent Reinforcement Learning
by: Akella, Aditya
Published: (2025)