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🏛️ The Neural & Evolutionary Crypt
cs.NE: Where Neural & Evolutionary papers rest without their code.
6354
Total Papers
5604
No Code
153
Twilight
597
Has Code
9.4%
Survival Rate
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Evolving choice hysteresis in reinforcement learning: comparing the adaptive value of positivity bias and gradual perseveration
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Continual Learning with Neuromorphic Computing: Foundations, Methods, and Emerging Applications
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PRF: Parallel Resonate and Fire Neuron for Long Sequence Learning in Spiking Neural Networks
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Classifying Images with CoLaNET Spiking Neural Network -- the MNIST Example
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Advancing Automated Knowledge Transfer in Evolutionary Multitasking via Large Language Models
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Meta-heuristic Optimizer Inspired by the Philosophy of Yi Jing
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Hardware-Algorithm Re-engineering of Retinal Circuit for Intelligent Object Motion Segmentation
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The Cartographer
Continual Learning with Hebbian Plasticity in Sparse and Predictive Coding Networks: A Survey and Perspective
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Tail Bounds on the Runtime of Categorical Compact Genetic Algorithm
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Multi-Bit Mechanism: A Novel Information Transmission Paradigm for Spiking Neural Networks
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Learning Delays Through Gradients and Structure: Emergence of Spatiotemporal Patterns in Spiking Neural Networks
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Evolving Self-Assembling Neural Networks: From Spontaneous Activity to Experience-Dependent Learning
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Supervised Radio Frequency Interference Detection with SNNs
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LLM-POET: Evolving Complex Environments using Large Language Models
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Eternal Rest
When Spiking neural networks meet temporal attention image decoding and adaptive spiking neuron
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CADE: Cosine Annealing Differential Evolution for Spiking Neural Network
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Context Gating in Spiking Neural Networks: Achieving Lifelong Learning through Integration of Local and Global Plasticity
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Evolving Reliable Differentiating Constraints for the Chance-constrained Maximum Coverage Problem
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LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity Synchronization
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Orthogonally Initiated Particle Swarm Optimization with Advanced Mutation for Real-Parameter Optimization
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Optimization of Worker Scheduling at Logistics Depots Using Genetic Algorithms and Simulated Annealing
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Case Study of Novelty, Complexity, and Adaptation in a Multicellular System
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