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Jianghong Shi

2 accepted papers

2022

Learning dynamics of deep linear networks with multiple pathways

NeurIPS 2022accept

Not only have deep networks become standard in machine learning, they are increasingly of interest in neuroscience as models of cortical computation that capture relationships between structural and functional properties. In addition they are a useful target of theoretical research into the propert…

Cited by 6SourcePDFScholar
2019

Comparison Against Task Driven Artificial Neural Networks Reveals Functional Properties in Mouse Visual Cortex

NeurIPS 2019poster

Partially inspired by features of computation in visual cortex, deep neural networks compute hierarchical representations of their inputs. While these networks have been highly successful in machine learning, it is still unclear to what extent they can aid our understanding of cortical function. S…

Cited by 36SourcePDFScholar