Bio-Inspired Palette Evolution in Indirectly Encoded Substrates: Timescale Compatibility Shapes Activation Function Discovery

arXiv:2609.17067 · cs.NE, cs.LG · Submitted 2026-09-15 · Read on arXiv

cs.NE, cs.LG

Submitted: 2026-09-15

Updated: 2026-09-15

Comments: 16 pages, 2 figures, 7 tables. Authors' accepted manuscript; published in Parallel Problem Solving from Nature - PPSN XIX (Springer, Lecture Notes in Computer Science)

Journal ref: Parallel Problem Solving from Nature - PPSN XIX, Lecture Notes in Computer Science, Springer Nature Switzerland, Cham, 2026, pp. 368-383

DOI: 10.1007/978-3-032-36217-9_23

Code: https://github.com/RomainClaret/emr-hyperneat

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Activation Function — 20× in this paper · explained in 1 episode
• Aggregation — 19× in this paper · explained in 1 episode
• Meta-learning — 12× in this paper · explained in 2 episodes
• Adaptation — 8× in this paper · explained in 1 episode
• ES-HyperNEAT — 2× in this paper · explained in 2 episodes
• Feature Selection — 2× in this paper · explained in 4 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Credit assignment — 1× in this paper · explained in 3 episodes
• Data Provenance — 1× in this paper · explained in 2 episodes
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• Provenance — 1× in this paper · explained in 4 episodes
• Spike-Timing-Dependent Plasticity — 1× in this paper

Sources

• DARTS: Differentiable Architecture Search
• Searching for Activation Functions
• Neural Architecture Search with Reinforcement Learning

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