Neural and Evolutionary Computing Papers

New Neural and Evolutionary Computing papers from neural networks, connectionism. Thank you to arXiv for use of its open access interoperability.

[Neural and Evolutionary Computing Papers @TAL]

Learning Whom to Trust: Decision-Generated Credibility in Social Learning

Gabriel Bontemps, Abhishek Banerjee
https://t.co/MAsAZZRm00 [𝚌𝚜.𝙽𝙴 𝚎𝚌𝚘𝚗.𝙶𝙽]

[Neural and Evolutionary Computing Papers @TAL]

On Scaling Coordinate-Based Neuroevolution: The Quadtree Bottleneck in ES-HyperNEAT

Romain Claret, Michael O'Neill, Paul Cotofrei, Kilian Stoffel
https://t.co/8w3Dcyvy3B [𝚌𝚜.𝙽𝙴]

[Neural and Evolutionary Computing Papers @TAL]

ORBITALIF: An Efficient Spiking Federated Learning Framework for Onboard Cloud Removal

Bohan Zhang, Chenyu Xu, Yijie Mao, Yuanming Shi
https://t.co/9CNclt9ltI [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝙰𝙸 𝚌𝚜.𝙲𝚅 𝚌𝚜.𝙳𝙲]
💬Accepted by IEEE GLOBECOM 2026

[Neural and Evolutionary Computing Papers @TAL]

Trust, but Verify: Rigorously Profiling Best-Effort High-Performance Computing for Digital Evolution

Matthew Andres Moreno, Santiago Rodriguez Papa, Charles Ofria, Luis Zaman, Emily Dolson
https://t.co/O8wskRdits [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝙳𝙲]

[Neural and Evolutionary Computing Papers @TAL]

Coronavirus Optimization Algorithm: A Success-History Adaptive Evolutionary Framework with Archive-Assisted Search and Stagnation Recovery for Global Optimization

Hari Mohan Pandey
https://t.co/mof2KzPJLd [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝙰𝙸 𝚌𝚜.𝙲𝙲]

[Neural and Evolutionary Computing Papers @TAL]

Integer Natural Evolution Strategies

Jacob de Nobel, Diederick Vermetten, Hao Wang, Ofer M. Shir, Michael Emmerich, Thomas Bäck
https://t.co/TmCaEPceB6 [𝚌𝚜.𝙽𝙴]

[Neural and Evolutionary Computing Papers @TAL]

Mycelial Search: A Graph-Structured Metaheuristic for Continuous Optimisation

Mohammad Mahdi Dehshibi
https://t.co/QWfU8cCXAP [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝙰𝙸]
💬Code: https://t.co/7syzC9u2qR)

[Neural and Evolutionary Computing Papers @TAL]

Spicing up Genetic Netlist Generation with LLMs

Stefan Uhlich, Yağız Gençer, Andrea Bonetti, Arun Venkitaraman, Chia-Yu Hsieh, Eisaku Ohbuchi, Lorenzo Servadei
https://t.co/FukIdSsevi [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝙰𝚁 𝚌𝚜.𝙻𝙶]

[Neural and Evolutionary Computing Papers @TAL]

Basins of Attraction to Multiple Fixed Points in Discrete-time Hysteresis Neural Networks

Yuta Arai, Seigo Nakamura, Ryoga Nakamura, Muzuki Ohira, Toshimichi Saito
https://t.co/lD6fHNNjWl [𝚌𝚜.𝙽𝙴]

[Neural and Evolutionary Computing Papers @TAL]

JANUS: Online Jacobian-Aligned Infill for Black-Box Optimization

Hongyuan Yu, Pufan Xu, Jiaojiao Yi, Yiding Tian, Mingrui Sun, Jiayuan Lu, Changyuan Wen
https://t.co/3cCr5thu6i [𝚌𝚜.𝙽𝙴]

[Neural and Evolutionary Computing Papers @TAL]

Petri Net Description of Biological Neural Circuits for Fast Hardware Prototyping

Carlo daCunha, Rodrigo Pena, Marcos Turqueti
https://t.co/byOSFMq8it [𝚌𝚜.𝙽𝙴]

[Neural and Evolutionary Computing Papers @TAL]

The Forward-Backward Disconnect: State Dynamics, Credit Assignment, and Biological Grounding in Neural Computation

Hadi Al Mubasher, Mariette Awad
https://t.co/0Z1WPck06l [𝚌𝚜.𝙽𝙴]

[Neural and Evolutionary Computing Papers @TAL]

BASC: Behavior-Aligned Quantization and Pruning for Low-Bit Spiking Neural Networks

Linliang Chen, Yan Zhong, Xin Liu, Sai Li, Wang Kang
https://t.co/L7MXKH1PYC [𝚌𝚜.𝙽𝙴]

[Neural and Evolutionary Computing Papers @TAL]

Spiking Local Interaction and Adaptive Complementary Fusion for Spiking Transformer

Dongcheng Zhao, Sicheng Shen, Zhenyu Yang, Zhiyuan Li, Jinyan Yu, Yongjian Wang, Tiechui Yao, Wenli Zhang, Tielin Zhang
https://t.co/Io2VPfMPXw [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝙲𝚅]

[Neural and Evolutionary Computing Papers @TAL]

Biological-Hybrid Intelligence: A Conceptual Framework for Distributed Biological–Artificial Computation

Michael Taynnan Barros, Sergio Lopez Bernal, Reinhold Scherer
https://t.co/rZMC57wN4X [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝙴𝚃]

[Neural and Evolutionary Computing Papers @TAL]

The Role of Grid Cells in Reducing Spatial Aliasing in Hippocampal Place Representations

Alexander Johnson, Obadah Ghizawi, Ali A. Minai
https://t.co/2rIk9HquJ9 [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝙰𝙸 𝚌𝚜.𝚁𝙾 𝚎𝚎𝚜𝚜.𝚂𝚈 𝚚-𝚋𝚒𝚘.𝙽𝙲]

[Neural and Evolutionary Computing Papers @TAL]

Low-Power, Neuromorphic, Acoustic Anomaly Detection for Persistent Machine Monitoring

Steven C. Nesbit, Victor M. Vergara, Michael A. Felix, Evan T. Kain, Luis R. García Carrillo, …
https://t.co/XSQhAH3Q6c [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝙰𝙸 𝚌𝚜.𝙴𝚃 𝚌𝚜.𝙻𝙶 𝚌𝚜.𝚂𝙳 𝚎𝚎𝚜𝚜.𝙰𝚂]

[Neural and Evolutionary Computing Papers @TAL]

Automating Parent Selection Configuration in Genetic Programming with Agentic AI

Jose Guadalupe Hernandez, Jui-Hsuan Chang, Anil Kumar Saini, Xi Li, Jason H. Moore
https://t.co/b06zx7A78v [𝚌𝚜.𝙽𝙴]

[Neural and Evolutionary Computing Papers @TAL]

Emergent Models: Intelligence from Tiny Substrates

Giacomo Bocchese, Nicola Giacobbo, Etienne Guichard, James Wiles, Akshaj Devireddy
https://t.co/KF2c5VLomb [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝙻𝙶]

[Neural and Evolutionary Computing Papers @TAL]

Reducing ANN-SNN Conversion Error via Residual Membrane Potential Alignment

Zirui Chen, Zihan Huang, Tong Bu, Jianhao Ding, Yiting Dong, Zhaofei Yu
https://t.co/JEspxkaped [𝚌𝚜.𝙽𝙴]