The Von-Neumann State-Space Transformer for neural decoding
cs.LG, cs.AI, q-bio.NC
Submitted: 2026-08-25
Updated: 2026-08-25
Terminology
Sources
- Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
- Scaling Laws for Neural Language Models
- Attention Is All You Need
- LLaMA: Open and Efficient Foundation Language Models
- Root Mean Square Layer Normalization
- RoFormer: Enhanced Transformer with Rotary Position Embedding
- GLU Variants Improve Transformer
- Efficiently Modeling Long Sequences with Structured State Spaces
- Mamba: Linear-Time Sequence Modeling with Selective State Spaces
- Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity
- Decoupled Weight Decay Regularization
- SGDR: Stochastic Gradient Descent with Warm Restarts
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