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Implementing efficient "shotgun" inference of neural connectivity from highly sub-sampled activity data
Published on Mar 07, 20161262 Views
Inferring connectivity in neuronal networks remains a key challenge in statistical neuroscience. The common input problem presents a major roadblock: it is difficult to reliably distinguish causal c
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Chapter list
Efficient "shotgun" inference of neural connectivity from highly sub-sampled activity data00:00
Model-based connectivity00:24
Limited scanning speed – a fundamental barrier?01:46
Alleviating the common input problem03:09
Main result03:55
Inference quality maintained with approximations05:02
Summary06:00
Thank you for listening!06:59