:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Bazargani, Mehran H., Urbas, Szymon, Friston, Karl
Format:	Preprint
Published:	2025
Subjects:	Neural and Evolutionary Computing
Online Access:	https://arxiv.org/abs/2502.08860
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Affinity Is Not Enough: Recovering the Free Energy Principle in Mixture-of-Experts
by: Wong, Man Yung
Published: (2026)

Self-orthogonalizing attractor neural networks emerging from the free energy principle
by: Spisak, Tamas, et al.
Published: (2025)

Neuromimetic metaplasticity for adaptive continual learning
by: Cho, Suhee, et al.
Published: (2024)

Meta-Representational Predictive Coding: Biomimetic Self-Supervised Learning
by: Ororbia, Alexander, et al.
Published: (2025)

Brain-inspired Computational Intelligence via Predictive Coding
by: Salvatori, Tommaso, et al.
Published: (2023)

Conceptual and Design Principles for a Self-Referential Algorithm Mimicking Neuronal Assembly Functions
by: Totaro, Paolo, et al.
Published: (2025)

BioNIC: Biologically Inspired Neural Network for Image Classification Using Connectomics Principles
by: Prasanth, Diya, et al.
Published: (2026)

CBGT-Net: A Neuromimetic Architecture for Robust Classification of Streaming Data
by: Sharma, Shreya, et al.
Published: (2024)

Life-inspired Interoceptive Artificial Intelligence for Autonomous and Adaptive Agents
by: Lee, Sungwoo, et al.
Published: (2023)

Constrained Hybrid Metaheuristic: A Universal Framework for Continuous Optimisation
by: Kowalski, Piotr A., et al.
Published: (2026)

Cartesian Genetic Programming Approach for Designing Convolutional Neural Networks
by: Krzywda, Maciej, et al.
Published: (2024)

Backpropagation-Free 4D Continuous Ant-Based Neural Topology Search
by: ElSaid, AbdElRahman, et al.
Published: (2023)

A Unified Phase-native Computational Principle Governs Hippocampal Spike Timing and Neural Coding
by: Ahmadvand, Reza, et al.
Published: (2026)

Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution
by: Guo, Hongshu, et al.
Published: (2024)

A Novel Ranking Scheme for the Performance Analysis of Stochastic Optimization Algorithms using the Principles of Severity
by: Chandrasekaran, Sowmya, et al.
Published: (2024)

Configuration Design of Mechanical Assemblies using an Estimation of Distribution Algorithm and Constraint Programming
by: Cheong, Hyunmin, et al.
Published: (2025)

BrainFLORA: Uncovering Brain Concept Representation via Multimodal Neural Embeddings
by: Li, Dongyang, et al.
Published: (2025)

Analyzing Internal Activity and Robustness of SNNs Across Neuron Parameter Space
by: Mazurek, Szymon, et al.
Published: (2025)

Learning Alzheimer's Disease Signatures by bridging EEG with Spiking Neural Networks and Biophysical Simulations
by: Mamoń, Szymon, et al.
Published: (2026)

Hardware-Software Co-optimised Fast and Accurate Deep Reconfigurable Spiking Inference Accelerator Architecture Design Methodology
by: Nimbekar, Anagha, et al.
Published: (2024)

Green Optimization: Energy-aware Design of Metaheuristics by Using Machine Learning Surrogates to Cope with Real Problems
by: Harada, Tomohiro, et al.
Published: (2026)

Rethinking Intelligence: Brain-like Neuron Network
by: Liu, Weifeng
Published: (2026)

Use of a genetic algorithm in university scheduling for equitable and efficient determination of teaching assignments
by: Bensky, Tom, et al.
Published: (2025)

Efficient Deep Spiking Multi-Layer Perceptrons with Multiplication-Free Inference
by: Li, Boyan, et al.
Published: (2023)

Evolution With Purpose: Hierarchy-Informed Optimization of Whole-Brain Models
by: Shahrzad, Hormoz, et al.
Published: (2026)

Redundancy Maximization as a Principle of Associative Memory Learning
by: Blümel, Mark, et al.
Published: (2025)

Enhancing Population-based Search with Active Inference
by: Dehouche, Nassim, et al.
Published: (2024)

Bayesian Inference Accelerator for Spiking Neural Networks
by: Katti, Prabodh, et al.
Published: (2024)

Convolutional Spiking Neural Networks for Detecting Anticipatory Brain Potentials Using Electroencephalogram
by: Lutes, Nathan, et al.
Published: (2022)

hxtorch: PyTorch for BrainScaleS-2 -- Perceptrons on Analog Neuromorphic Hardware
by: Spilger, Philipp, et al.
Published: (2020)

Amortized Inference of Neuron Parameters on Analog Neuromorphic Hardware
by: Kaiser, Jakob, et al.
Published: (2026)

Smart Buildings Energy Consumption Forecasting using Adaptive Evolutionary Ensemble Learning Models
by: Neshat, Mehdi, et al.
Published: (2025)

Energy-Aware Metaheuristics
by: Alba, Enrique, et al.
Published: (2026)

Backpropagation through Soft Body: Investigating Information Processing in Brain-Body Coupling Systems
by: Tomioka, Hiroki, et al.
Published: (2025)

A Brain-Inspired Gating Mechanism Unlocks Robust Computation in Spiking Neural Networks
by: Bai, Qianyi, et al.
Published: (2025)

UniBCI: Towards a Unified Pretrained Model for Invasive Brain-Computer Interfaces
by: Hong, Binjie, et al.
Published: (2026)

Neuro-Vision to Language: Enhancing Brain Recording-based Visual Reconstruction and Language Interaction
by: Shen, Guobin, et al.
Published: (2024)

Neuromorphic Intermediate Representation: A Unified Instruction Set for Interoperable Brain-Inspired Computing
by: Pedersen, Jens E., et al.
Published: (2023)

Perception-Informed Neural Networks: Beyond Physics-Informed Neural Networks
by: Mazandarani, Mehran, et al.
Published: (2025)

MindPilot: Closed-loop Visual Stimulation Optimization for Brain Modulation with EEG-guided Diffusion
by: Li, Dongyang, et al.
Published: (2026)