Algorithms for fast alignment of structures in finite and periodic systems.
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Updated
Aug 11, 2022 - Fortran
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energy-landscapes
Here are 3 public repositories matching this topic...
Implementing Hopfield Networks from scratch, testing their content addressable memory, attractor, and energy landscape, investigating their resistance to noise, experimenting with their memory capacity, and putting strain on them with sparse patterns.
python neural-network recall hopfield-network hebbian-learning content-addressable-storage energy-landscapes attractor memory-capacity sparse-patterns
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Sep 1, 2021 - Jupyter Notebook
The Hopfield network, a point attractor network, is modified here to investigate the behavior of the resting state challenged with varying degrees of noise.
matlab computational-neuroscience schizophrenia point-attractor energy-landscapes signal-to-noise hopfield-neural-network
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Apr 22, 2019 - MATLAB
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