High-rank connectivity scaffolds support precision and generalisation in recurrent neural networks
q-bio.NC
Submitted: 2026-09-28
Updated: 2026-09-28
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Emergence of grid-like representations by training recurrent neural networks to perform spatial localization
- Proximal Policy Optimization Algorithms
- Connectivity structure and dynamics of nonlinear recurrent neural networks
- High resolution neural connectivity from incomplete tracing data using nonnegative spline regression
- OMiSO: Adaptive optimization of state-dependent brain stimulation to shape neural population states
- Capacity and Trainability in Recurrent Neural Networks
- Universality and individuality in neural dynamics across large populations of recurrent networks
- Captum: A unified and generic model interpretability library for PyTorch
- Axiomatic Attribution for Deep Networks
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