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DTSTART:20180311T070000
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DTSTART;TZID=America/Toronto:20181213T160000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20181213T160000
URL:https://uwaterloo.ca/computer-science/events/phd-seminar-artificial-int
 elligence-beyond-lif-computational
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 2310 Waterloo ON N2L 3G1 Canada
SUMMARY:PhD Seminar • Artificial Intelligence — Beyond LIF: The\nComput
 ational Power of Passive Dendritic Trees
CLASS:PUBLIC
DESCRIPTION:ANDREAS STÖCKEL\, PHD CANDIDATE\n_David R. Cheriton School of 
 Computer Science_\n\nThe artificial neurons typically employed in machine 
 learning and\ncomputational neuroscience bear little resemblance to biolog
 ical\nneurons. They are often derived from the “leaky integrate and\nfir
 e” (LIF) model\, neglect spatial extent\, and assume a linear\ncombinati
 on of input variables. It is well known that these\nsimplifications have a
  profound impact on the family of functions that\ncan be computed in a sin
 gle-layer neural network. 
DTSTAMP:20260408T034856Z
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