Library · 12-digital-neuron-types
Digital neuron types
| Title | Peer | Link |
|---|---|---|
| Universal Approximation Using Radial-Basis-Function Networks | ✓ peer | doi.org/10.1162/neco.1991.3.2.246 |
| Mixture Density Networks | publications.aston.ac.uk/id/eprint/373/ | |
| A logical calculus of the ideas immanent in nervous activity | ✓ peer | doi.org/10.1007/BF02478259 |
| A quantitative description of membrane current (Hodgkin–Huxley) | ✓ peer | doi.org/10.1113/jphysiol.1952.sp004764 |
| The perceptron: a probabilistic model | ✓ peer | doi.org/10.1037/h0042519 |
| Neural networks and physical systems (Hopfield net) | ✓ peer | doi.org/10.1073/pnas.79.8.2554 |
| Long short-term memory (LSTM) | ✓ peer | doi.org/10.1162/neco.1997.9.8.1735 |
| Deep Residual Learning (ResNet) | ◦ preprint | arxiv.org/abs/1512.03385 |
| Batch Normalization | ◦ preprint | arxiv.org/abs/1502.03167 |
| Layer Normalization | ◦ preprint | arxiv.org/abs/1607.06450 |
| An Image is Worth 16×16 Words (ViT) | ◦ preprint | arxiv.org/abs/2010.11929 |
| ImageNet Classification with Deep CNNs (AlexNet) | ✓ peer | doi.org/10.1145/3065386 |
| Very Deep Convolutional Networks (VGG) | ✓ peer | arxiv.org/abs/1409.1556 |
| U-Net (biomedical segmentation) | ✓ peer | arxiv.org/abs/1505.04597 |
| Going Deeper with Convolutions (GoogLeNet / Inception) | ◦ preprint | arxiv.org/abs/1409.4842 |
| Densely Connected Convolutional Networks (DenseNet) | ◦ preprint | arxiv.org/abs/1608.06993 |
| Network In Network (NiN) | ◦ preprint | arxiv.org/abs/1312.4400 |
| Fully Convolutional Networks (FCN) | ◦ preprint | arxiv.org/abs/1411.4038 |
| Faster R-CNN | ✓ peer | arxiv.org/abs/1506.01497 |
| You Only Look Once (YOLO) | — unref | arxiv.org/abs/1506.02640 |
| Fuzzy Sets | ✓ peer | doi.org/10.1016/S0019-9958(65)90241-X |
| Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning | ✓ peer | doi.org/10.1038/s41467-025-56297-9 |
| Dendritic nonlinearities mitigate communication costs | ✓ peer | doi.org/10.1016/j.patter.2026.101520 |
| Kolmogorov-Arnold Networks for Small Language Models | ◦ preprint | arxiv.org/abs/2607.15525 |
| Temporal hierarchy in spiking neural networks | ✓ peer | doi.org/10.1088/2634-4386/ae7ab5 |