This paper surveys machine learning methods for analyzing neural activity dynamics, focusing on Latent Variable Models (LVMs). It categorizes LVMs into single-region dynamics, multi-region communication, and behavior-aligned modeling. The survey also covers large-scale neural foundation models like Transformers and diffusion models, discussing current challenges and future research directions for interpretable brain dynamics and neural decoding. AI
IMPACT Provides a structured overview of ML techniques for neuroscience, potentially guiding future research in brain-computer interfaces and neural decoding.
RANK_REASON The cluster contains an academic paper published on arXiv.
- diffusion models
- Latent Variable Models
- Neural Ordinary Differential Equations
- Recurrent Neural Networks
- Transformers
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