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Eric Shea-Brown

2 accepted papers

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
2016

High resolution neural connectivity from incomplete tracing data using nonnegative spline regression

NeurIPS 2016poster

Whole-brain neural connectivity data are now available from viral tracing experiments, which reveal the connections between a source injection site and elsewhere in the brain. These hold the promise of revealing spatial patterns of connectivity throughout the mammalian brain. To achieve this goal, w…