Library · 10-bio-inspired-optimization
Bio-inspired optim
| Title | Peer | Link |
|---|---|---|
| Evolution Strategies at Scale: LLM Fine-Tuning Beyond RL | ◦ preprint | arxiv.org/abs/2509.24372 |
| TD-ES: Bounded-Support Evolution Strategies for Policy Refinement | ◦ preprint | arxiv.org/abs/2511.09923 |
| EA4LLM: Gradient-Free LLM Optimization via Evolutionary Algorithms | ◦ preprint | arxiv.org/abs/2510.10603 |
| Low-Rank Factorizations are Indirect Encodings for Deep Neuroevolution | ◦ preprint | arxiv.org/abs/2504.03037 |
| Towards Scaling Deep NNs with Predictive Coding (μPC) | ◦ preprint | arxiv.org/abs/2510.23323 |
| Benchmarking Predictive Coding Networks — Made Simple (PCX) | ◦ preprint | arxiv.org/abs/2407.01163 |
| Adaptive Spatial Goodness Encoding (ASGE): Scaling Forward-Forward | ◦ preprint | arxiv.org/abs/2509.12394 |
| Forward Target Propagation (FTP) | ◦ preprint | arxiv.org/abs/2506.11030 |
| Self-Contrastive Forward-Forward (SCFF) | ✓ peer | nature.com/articles/s41467-025-61037-0 |
| A Review of Neuroscience-Inspired Machine Learning | ◦ preprint | arxiv.org/abs/2403.18929 |
| TensorNEAT: GPU-accelerated NEAT (JAX) | ◦ preprint | arxiv.org/abs/2504.08339 |
| Optimizing Deep RL through Vectorized & Parallel NeuroEvolution | sciencedirect.com/science/article/abs/pii/S… | |
| EvoX: Distributed GPU Framework for Scalable Evolutionary Computation | ◦ preprint | arxiv.org/abs/2301.12457 |
| Direct Feedback Alignment Provides Learning in Deep NNs (DFA) | ◦ preprint | arxiv.org/abs/1609.01596 |
| Direct Feedback Alignment With Sparse Connections for Local Learning | pmc.ncbi.nlm.nih.gov/articles/PMC6542988/ | |
| GrAPE: Scaling Direct Feedback Learning w/ Jacobian Alignment | openreview.net/forum?id=kasbbmwk3s | |
| e-prop: a solution to the learning dilemma for recurrent spiking nets | ✓ peer | nature.com/articles/s41467-020-17236-y |
| Scaling Equilibrium Propagation to Deeper Architectures | ◦ preprint | arxiv.org/abs/2509.26003 |
| Information-bottleneck Hebbian learning rule | pmc.ncbi.nlm.nih.gov/articles/PMC11137249/ | |
| Predictive Coding as a Neuromorphic Alternative to BP: A Critical Evaluation | ◦ preprint | arxiv.org/abs/2304.02658 |
| Taming the chaos gently: predictive alignment in recurrent nets (Asabuki & Clopath) | ✓ peer | nature.com/articles/s41467-025-61309-9 |
| A Backpropagation-Free Feedback-Hebbian Network for Continual Learning Dynamics | ◦ preprint | arxiv.org/abs/2601.06758 |
| Brain-inspired replay for continual learning with ANNs (van de Ven) | ✓ peer | nature.com/articles/s41467-020-17866-2 |
| Titans: Learning to Memorize at Test Time | ◦ preprint | arxiv.org/abs/2501.00663 |
| Reward Prediction Error Prioritisation in Experience Replay (RPE-PER) | ◦ preprint | arxiv.org/abs/2501.18093 |
| SuRe: Surprise-Driven Prioritised Replay for Continual LLM Learning | ◦ preprint | arxiv.org/pdf/2511.22367 |
| Phasor Agents: three-factor plasticity + sleep-staged replay | ◦ preprint | arxiv.org/abs/2601.04362 |
| Inferring neural activity before plasticity — prospective configuration (Song, Bogacz) | ✓ peer | nature.com/articles/s41593-023-01514-1 |
| BioNAS — NAS over mixed per-layer bio-inspired learning rules | ◦ preprint | arxiv.org/abs/2507.13485 |
| μPC — scaling predictive coding to 100+ layers (Depth-μP) | ◦ preprint | arxiv.org/abs/2505.13124 |
| PCN trained on ImageNet via equilibrium propagation | ◦ preprint | arxiv.org/abs/2606.03584 |
| NeuroTrain — local-learning-rule benchmark for SNNs | ◦ preprint | arxiv.org/abs/2605.15058 |
| The backpropagation algorithm implemented on spiking neuromorphic hardware | — | |
| FPTT — accurate online training of dynamical SNNs (Forward Propagation Through Time) | — | |
| BrainTrace — model-agnostic linear-memory online learning in SNNs | — | |
| A stable, fast, fully automatic learning algorithm for PC networks (incremental PC) | — | |
| DFA Scales to Modern Deep Learning Tasks and Architectures | ◦ preprint | arXiv:2006.12878 |
| Holomorphic Equilibrium Propagation | — | |
| Synthetic Benchmarks Overstate Forward-Forward Scaling: Real-Data Limits of Layer-Local Training (Chen) | ◦ preprint | arxiv.org/abs/2606.06539 |
| Learning at the Speed of Physics: Equilibrium Propagation on Oscillator Ising Machines | ◦ preprint | arxiv.org/abs/2510.12934 |
| Energy-Efficient DL Without Backprop: A Rigorous Evaluation of Forward-Only Algorithms | ◦ preprint | arxiv.org/abs/2511.01061 |
| Can Local Learning Match Self-Supervised Backpropagation? (CLAPP++) | ◦ preprint | arxiv.org/abs/2601.21683 |
| Intrinsic-Noise Consolidation (Doob-barrier-conditioned diffusion) | ◦ preprint | arxiv.org/abs/2607.06924 |
| Synaptic plasticity: taming the beast | ✓ peer | doi.org/10.1038/81453 |
| Spike timing-dependent plasticity of neural circuits | ✓ peer | doi.org/10.1016/j.neuron.2004.09.007 |
| Synaptic modifications dependent on spike timing (STDP) | ✓ peer | doi.org/10.1523/JNEUROSCI.18-24-10464.1998 |
| Long-lasting potentiation of synaptic transmission (LTP) | ✓ peer | doi.org/10.1113/jphysiol.1973.sp010273 |
| Bio-inspired AI: Integrating Biological Complexity into Artificial Intelligence | ◦ preprint | arxiv.org/abs/2411.15243 |
| Direct Feedback Alignment with sparse connections for local learning | ✓ peer | doi.org/10.3389/fnins.2019.00525 |
| An information-bottleneck-based Hebbian learning rule | ✓ peer | doi.org/10.3389/fncom.2024.1240348 |
| Ubiquity of Emergent Hebbian Dynamics in Regularized Learning | arxiv.org/abs/2505.18069 | |
| Adaptive learning via surprise gated attractor switching | doi.org/10.1101/2025.03.13.643078 | |
| Parallel processing of orthogonal manifolds enables zero-shot composition in recurrent networks | doi.org/10.64898/2026.06.14.732142 |