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December 3-án, szerdán fél 11-kor az MTA KFKI RMKI tanácstermében elõadást
tart:
Sidney Wiener
CNRS-Collège de France LPPA, Paris, France
Elõadásának témája:
Neural correlates of learning in the hippocampo-prefrontal pathway
The Wisconsin Card Sorting task is used to diagnose prefrontal damage in
human patients. This task requiring self-generating set-shifting and rule
creation was adapted for rats. Then we recorded local field potentials
(LFPs) in hippocampus and prefrontal cortex as well as multichannel unit
recordings in prefrontal areas PL/IL during learning and shifting between
spatial and cue-guided strategies in a Y maze. The prefrontal neurons
changed behaviorally correlated activity after rule changes and as the rat
acquired new rules. Furthermore, during rule acquisition there was increased
coherence of prefrontal and hippocampal LFPs in the theta band when the rat was
at the fork of the Y maze, during response selection. With a new principal
components analysis of unit ensemble co-activations permitting high temporal
resolution, we determined that during slow wave sleep (SWS) that there was
replay of prefrontal neural ensemble coactivations appearing during the awake
learning experience. This mostly occurs during hippocampal sharp wave ripples,
which correspond to periods of replay in the hippocampus also. Examination of
prefrontal neuron modulation by hippocampal LFP theta oscillations demonstrated
a subpopulation that had increased modulation during high coherence of
hippocampal and prefrontal LFPs. Moreover, prefrontal cell assemblies formed
during high coherence periods are reactivated during ripples occurring during
sleep after learning the task. This suggests a new mechanism of increased
inter-region communication during high LFP oscillatory coherence periods,
facilitating selection of relevant
information to be stored in long term memory.
Cím: Bp. Csillebérc, Konkoly-Thege Miklós út 29-33, III. épület 2. emelet
A 90-es busz csillebérci végállomásánál.
Minden érdekõdõt szeretettel várunk.
Somogyári Zoltán
MTA KFKI RMKI,
Biofizikai osztály
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