Cover Image

Persistent Memory Through Triple-Loop Consolidation in a Non-Gradient Dissipative Cognitive Architecture

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Lou, Jianwei
Format:	Preprint
Published:	2026
Subjects:	Neural and Evolutionary Computing Neurons and Cognition I.2.6; I.2.0
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

Deep learning in a bilateral brain with hemispheric specialization
by: Rajagopalan, Chandramouli, et al.
Published: (2022)

The Coordinate System Problem in Persistent Structural Memory for Neural Architectures
by: Basu, Abhinaba
Published: (2026)

From Basic Affordances to Symbolic Thought: A Computational Phylogenesis of Biological Intelligence
by: Hummel, John E., et al.
Published: (2025)

The Parameters of Educability
by: Valiant, Leslie G.
Published: (2024)

The Backpropagation Algorithm Implemented on Spiking Neuromorphic Hardware
by: Renner, Alpha, et al.
Published: (2021)

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

Left/Right Brain, human motor control and the implications for robotics
by: Rinaldo, Jarrad, et al.
Published: (2024)

Vector Symbolic Architectures answer Jackendoff's challenges for cognitive neuroscience
by: Gayler, Ross W.
Published: (2004)

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

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

How Metacognitive Architectures Remember Their Own Thoughts: A Systematic Review
by: Nolte, Robin, et al.
Published: (2025)

Fine-Pruning: A Biologically Inspired Algorithm for Personalization of Machine Learning Models
by: Bingham, Joseph, et al.
Published: (2026)

FF-INT8: Efficient Forward-Forward DNN Training on Edge Devices with INT8 Precision
by: Ma, Jingxiao, et al.
Published: (2025)

Error-related Potential driven Reinforcement Learning for adaptive Brain-Computer Interfaces
by: Fidêncio, Aline Xavier, et al.
Published: (2025)

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

Engram Memory Encoding and Retrieval: A Neurocomputational Perspective
by: Szelogowski, Daniel
Published: (2025)

Hebbian Memory-Augmented Recurrent Networks: Engram Neurons in Deep Learning
by: Szelogowski, Daniel
Published: (2025)

Isotropic Activation Functions Enable Deindividuated Neurons and Adaptive Topologies
by: Bird, George
Published: (2026)

A Technical Note on the Architectural Effects on Maximum Dependency Lengths of Recurrent Neural Networks
by: Kent, Jonathan S., et al.
Published: (2024)

Emotions are Recognized Patterns of Cognitive Activities
by: Jin, Yue
Published: (2025)

Controlling Recurrent Neural Networks by Conceptors
by: Jaeger, Herbert
Published: (2014)

Enhanced Protein Intrinsic Disorder Prediction Through Dual-View Multiscale Features and Multi-objective Evolutionary Algorithm
by: Wang, Shaokuan, et al.
Published: (2026)

Object-centric proto-symbolic behavioural reasoning from pixels
by: van Bergen, Ruben, et al.
Published: (2024)

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

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

Expanding continual few-shot learning benchmarks to include recognition of specific instances
by: Kowadlo, Gideon, et al.
Published: (2022)

Multi-Marginal Stochastic Flow Matching for High-Dimensional Snapshot Data at Irregular Time Points
by: Lee, Justin, et al.
Published: (2025)

Mechanistically Interpretable Neural Encoding Reveals Fine-Grained Functional Selectivity in Human Visual Cortex
by: Grosbard, Idan Daniel, et al.
Published: (2026)

Pendulum Model of Spiking Neurons
by: Bose, Joy
Published: (2025)

Sample as You Infer: Predictive Coding With Langevin Dynamics
by: Zahid, Umais, et al.
Published: (2023)

Batchless Normalization: How to Normalize Activations Across Instances with Minimal Memory Requirements
by: Berger, Benjamin, et al.
Published: (2022)

Examining Reject Relations in Stimulus Equivalence Simulations
by: Carrillo, Alexis, et al.
Published: (2025)

Adapting to time: Why nature may have evolved a diverse set of neurons
by: Habashy, Karim G., et al.
Published: (2024)

Dynamic Difficulty Adjustment With Brain Waves as a Tool for Optimizing Engagement
by: Cafri, Nir
Published: (2025)

A Self-Organizing Clustering System for Unsupervised Distribution Shift Detection
by: Basterrech, Sebastián, et al.
Published: (2024)

Reward-Modulated Local Learning in Spiking Encoders: Controlled Benchmarks with STDP and Hybrid Rate Readouts
by: Chakraborty, Debjyoti
Published: (2026)

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