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SUMMARY:Manipulation of striatal temperature produces bidirectional and do
 se dependent temporal scaling of population activity and decision-making\,
  but not moment by moment movement execution.  - Professor Joe Paton (Cham
 palimaud Foundation)
DTSTART;VALUE=DATE-TIME:20221206T130000Z
DTEND;VALUE=DATE-TIME:20221206T140000Z
UID:https://talks.ox.ac.uk/talks/id/607c66f5-5d0c-42a6-ba52-7e8391f1ae49/
DESCRIPTION:The basal ganglia (BG) are thought to contribute to decision-m
 aking and motor control by influencing action selection based on consequen
 ces. These functions are critically dependent on timing information that c
 an be extracted from the evolving state of neural populations in the stria
 tum\, the major input area of the BG. However\, it is debated whether stri
 atal activity underlies latent\, dynamic decision processes or kinematics 
 of overt movement. Here\, we measured the impact of temperature on striata
 l population activity and the behavior of rats and compared the observed e
 ffects to neural activity and behavior collected in multiple versions of a
  temporal categorization task. Cooler temperatures caused dilation\, and w
 armer temperatures contraction\, of both neural activity and patterns of j
 udgment in time\, mimicking endogenous decision-related variability in str
 iatal activity. However\, temperature did not similarly affect movement ki
 nematics. These data provide compelling evidence that the time course of e
 volving striatal population activity dictates the speed of a latent proces
 s that is used to guide choices\, but not moment by moment movement execut
 ion. More broadly\, they establish temporal scaling of population activity
  as a likely cause and not simply a correlate of timing behavior in the br
 ain. We speculate that these results may reflect an algorithmic division o
 f labor between brain systems. Computations similar to those found in valu
 e-based reinforcement learning (RL) models may be implemented within BG ci
 rcuits to learn control policies involving relatively compact and discrete
  action spaces (eg. action selection and decision-making)\, whereas direct
  policy learning algorithms may be implemented in other brain systems\, su
 ch as the cerebellum\, to learn control policies involving high dimensiona
 l and continuous action spaces (eg. continuous control and coordination).\
 nSpeakers:\nProfessor Joe Paton (Champalimaud Foundation)
LOCATION:Sherrington Library\, off Parks Road OX1 3PT
TZID:Europe/London
URL:https://talks.ox.ac.uk/talks/id/607c66f5-5d0c-42a6-ba52-7e8391f1ae49/
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DESCRIPTION:Talk:Manipulation of striatal temperature produces bidirection
 al and dose dependent temporal scaling of population activity and decision
 -making\, but not moment by moment movement execution.  - Professor Joe Pa
 ton (Champalimaud Foundation)
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