BEGIN:VCALENDAR
VERSION:2.0
PRODID:talks.ox.ac.uk
BEGIN:VEVENT
SUMMARY:Relating Circuit Dynamics to Computation: Robustness and Dimension
-specific Computation in Cortical Dynamics - Shaul Druckmann (Janelia Rese
arch Campus)
DTSTART;VALUE=DATE-TIME:20160425T110000Z
DTEND;VALUE=DATE-TIME:20160425T120000Z
UID:https://talks.ox.ac.uk/talks/id/1249cb50-6494-4dbe-b99d-2041984aef41/
DESCRIPTION:Neural dynamics represent the hard-to-interpret substrate of c
ircuit computations. However\, not all changes in population activity may
have equal meaning\, i.e.\, a small change in the evolution of activity al
ong a particular dimension may have a bigger effect on a given computation
than a large change in another. We term such conditions dimension-specifi
c computation. If the brain operates under such conditions\, our chances t
o learn what computations a circuit is performing from observing its activ
ity will be greatly improved. We used neural recordings and simultaneous o
ptogenetic perturbations to probe cortical dynamics during motor preparato
ry activity. We found remarkably robust dynamics along certain dimensions
of the population activity\, which can be shown to carry nearly all of the
decodable behavioral information. The circuit thus appears set up to make
informative dimensions stiff\, i.e.\, resistive to perturbations\, while
leaving uninformative dimensions sloppy\, i.e.\, sensitive to perturbation
s. This robustness can be achieved by a modular circuit organization\, whe
reby modules with normally independent dynamics correct each other\, a com
mon feature in robust systems engineering.\nSpeakers:\nShaul Druckmann (Ja
nelia Research Campus)
LOCATION:Oxford Martin Schoo\, 34 Broad Street\, Oxford
URL:https://talks.ox.ac.uk/talks/id/1249cb50-6494-4dbe-b99d-2041984aef41/
BEGIN:VALARM
ACTION:display
DESCRIPTION:Talk:Relating Circuit Dynamics to Computation: Robustness and
Dimension-specific Computation in Cortical Dynamics - Shaul Druckmann (Jan
elia Research Campus)
TRIGGER:-PT1H
END:VALARM
END:VEVENT
END:VCALENDAR