首页|Laminar RNNs: using biologically-inspired network topology on the cortical lamin ar level in memory tasks
Laminar RNNs: using biologically-inspired network topology on the cortical lamin ar level in memory tasks
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – According to news reporting based on a preprint abstract, our journalists obtained the following quote sourced from bi orxiv.org: “Advancements in neuroscience and artificial intelligence have been fueling one another for decades. “In this study, we integrate a neuroimaging model of laminar-level connectomics into a biologicallyinspired deep learning model of recurrent neural networks (R NNs) for working memory tasks. “The resulting model offers a way to incorporate a more comprehensive representa tion of brain topology into artificial intelligence without diminishing the perf ormance of the network compared to previous models.”
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