Cover Image

$μ$PC: Scaling Predictive Coding to 100+ Layer Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Innocenti, Francesco, Achour, El Mehdi, Buckley, Christopher L.
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Neural and Evolutionary Computing I.2.6
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Only Strict Saddles in the Energy Landscape of Predictive Coding Networks?
by: Innocenti, Francesco, et al.
Published: (2024)

On the Infinite Width and Depth Limits of Predictive Coding Networks
by: Innocenti, Francesco, et al.
Published: (2026)

Towards Scaling Deep Neural Networks with Predictive Coding: Theory and Practice
by: Innocenti, Francesco
Published: (2025)

A Simple Generalisation of the Implicit Dynamics of In-Context Learning
by: Innocenti, Francesco, et al.
Published: (2025)

Efficient and Flexible Neural Network Training through Layer-wise Feedback Propagation
by: Weber, Leander, et al.
Published: (2023)

Searching Search Spaces: Meta-evolving a Geometric Encoding for Neural Networks
by: Kunze, Tarek, et al.
Published: (2024)

Efficient NAS with FaDE on Hierarchical Spaces
by: Neumeyer, Simon, et al.
Published: (2024)

Breaching the Bottleneck: Evolutionary Transition from Reward-Driven Learning to Reward-Agnostic Domain-Adapted Learning in Neuromodulated Neural Nets
by: Arnold, Solvi, et al.
Published: (2024)

A Neuro-Symbolic Approach to Multi-Agent RL for Interpretability and Probabilistic Decision Making
by: Subramanian, Chitra, et al.
Published: (2024)

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

Contrastive Representation Learning for Dynamic Link Prediction in Temporal Networks
by: Nouranizadeh, Amirhossein, et al.
Published: (2024)

Collapse or Preserve: Data-Dependent Temporal Aggregation for Spiking Neural Network Acceleration
by: Qin, Jiahao
Published: (2026)

Combining Trained Models in Reinforcement Learning
by: Patil, Ujjwal, et al.
Published: (2026)

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

Asynchronous Stochastic Gradient Descent with Decoupled Backpropagation and Layer-Wise Updates
by: Fokam, Cabrel Teguemne, et al.
Published: (2024)

Evolving Programmatic Skill Networks
by: Shi, Haochen, et al.
Published: (2026)

Introducing Echo Networks for Computational Neuroevolution
by: Kroos, Christian, et al.
Published: (2026)

AiGAS-dEVL: An Adaptive Incremental Neural Gas Model for Drifting Data Streams under Extreme Verification Latency
by: Arostegi, Maria, et al.
Published: (2024)

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

IP$^{2}$-RSNN: Bi-level Intrinsic Plasticity Enables Learning-to-learn in Recurrent Spiking Neural Networks
by: Yu, Yingchao, et al.
Published: (2025)

Increasing biases can be more efficient than increasing weights
by: Metta, Carlo, et al.
Published: (2023)

Scaling Laws for Associative Memories
by: Cabannes, Vivien, et al.
Published: (2023)

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

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

Pre-train to Gain: Robust Learning Without Clean Labels
by: Szczecina, David, et al.
Published: (2025)

Combining AI Control Systems and Human Decision Support via Robustness and Criticality
by: Woods, Walt, et al.
Published: (2024)

A Neuro-Fuzzy System for Interpretable Long-Term Stock Market Forecasting
by: Ožbot, Miha, et al.
Published: (2025)

SymDQN: Symbolic Knowledge and Reasoning in Neural Network-based Reinforcement Learning
by: Amador, Ivo, et al.
Published: (2025)

Interactive LLM-assisted Curriculum Learning for Multi-Task Evolutionary Policy Search
by: Sakallioglu, Berfin, et al.
Published: (2026)

K-Way Energy Probes for Metacognition Reduce to Softmax in Discriminative Predictive Coding Networks
by: Cacioli, Jon-Paul
Published: (2026)

SPARTA: Advancing Sparse Attention in Spiking Neural Networks via Spike-Timing-Based Prioritization
by: Jang, Minsuk, et al.
Published: (2025)

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

A Survey on Large Language Models with some Insights on their Capabilities and Limitations
by: Matarazzo, Andrea, et al.
Published: (2025)

Extending Spike-Timing Dependent Plasticity to Learning Synaptic Delays
by: Dominijanni, Marissa, et al.
Published: (2025)

Multi-objective Binary Coordinate Search for Feature Selection
by: Miyandoab, Sevil Zanjani, et al.
Published: (2024)

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

Evaluating Brain-Inspired Modular Training in Automated Circuit Discovery for Mechanistic Interpretability
by: Nainani, Jatin
Published: (2024)

Compact NSGA-II for Multi-objective Feature Selection
by: Miyandoab, Sevil Zanjani, et al.
Published: (2024)

GAAPO: Genetic Algorithmic Applied to Prompt Optimization
by: Sécheresse, Xavier, et al.
Published: (2025)

Evolving Deep Learning Optimizers
by: Marfinetz, Mitchell
Published: (2025)