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SUMMARY:Computational Neuroscience Journal Club - Jake Stroud (University 
 of Cambridge)
DTSTART:20200505T140000Z
DTEND:20200505T153000Z
UID:TALK142057@talks.cam.ac.uk
CONTACT:Jake Stroud
DESCRIPTION:Please join us for our fortnightly journal club online via zoo
 m where two presenters will jointly present a topic together.\n\nZoom info
 rmation:\nhttps://us02web.zoom.us/j/82042228464?pwd=eFBEVjU3MFF4VmRxekFtTH
 hXNnIyUT09\nMeeting ID: 820 4222 8464\nPassword: 541373\n\nThe next topic 
 is 'attractor networks and their relations to neural dynamics' presented b
 y Jake Stroud and Calvin Kao. We will provide mathematical definitions of 
 the main classes of attractor networks along with a motivation of why they
  are relevant for studying the brain. We will then discuss exactly how att
 ractor networks capture real neural activity by going through the key resu
 lts of the following 5 papers:\n\nStable population coding for working mem
 ory coexists with heterogeneous neural dynamics in prefrontal cortex\, Mur
 ray et al.\, PNAS\, 2017\, https://www.pnas.org/content/114/2/394\n\nBump 
 attractor dynamics in prefrontal cortex explains behavioural precision in 
 spatial working memory\, Wimmer et al.\, Nature Neuroscience\, 2014\, http
 s://www.nature.com/articles/nn.3645\n\nDiscrete attractor dynamics underli
 es persistent activity in the frontal cortex\, Inagaki et al.\, Nature\, 2
 019\, https://www.nature.com/articles/s41586-019-0919-7\n\nContext-depende
 nt computation by recurrent dynamics in prefrontal cortex\, Mante et al.\,
  Nature\, 2013\, https://www.nature.com/articles/nature12742\n\nThe intrin
 sic attractor manifold and population dynamics of a canonical cognitive ci
 rcuit across waking and sleep\, Chaudhuri et al.\, Nature Neuroscience\, 2
 019\, https://www.nature.com/articles/s41593-019-0460-x\n\n\n
LOCATION:Online on Zoom
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