2 citations · 6 across the 9 of their papers we have counts for
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cs.NE2020★ 2 cited
Self-organization of multi-layer spiking neural networks
Guruprasad Raghavan, Cong Lin, Matt Thomson
Living neural networks in our brains autonomously self-organize into large, complex architectures during early development to result in an organized and functional organic computat…
cs.NE2020
Geometric algorithms for predicting resilience and recovering damage in neural networks
Guruprasad Raghavan, Jiayi Li, Matt Thomson
Biological neural networks have evolved to maintain performance despite significant circuit damage. To survive damage, biological network architectures have both intrinsic resilien…
cs.NE2019★ 2 cited
Neural networks grown and self-organized by noise
Guruprasad Raghavan, Matt Thomson
Living neural networks emerge through a process of growth and self-organization that begins with a single cell and results in a brain, an organized and functional computational dev…