Karlijn van Aerde. Two independent cortical subnetworks control spike timing of layer 5 pyramidal...

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Karlijn van Aerde

Transcript of Karlijn van Aerde. Two independent cortical subnetworks control spike timing of layer 5 pyramidal...

Page 1: Karlijn van Aerde. Two independent cortical subnetworks control spike timing of layer 5 pyramidal neurons during dynamic β oscillation shifts Karlijn.

Karlijn van Aerde

Page 2: Karlijn van Aerde. Two independent cortical subnetworks control spike timing of layer 5 pyramidal neurons during dynamic β oscillation shifts Karlijn.

Two independent cortical subnetworks control spike timing of layer 5 pyramidal neurons

during dynamic β oscillation shifts

Karlijn van Aerde et al, VU University Amsterdam

Fast network oscillations (beta range) are dynamic!

- in rat brain slices

- in awake rats

- in human EEG

What is the underlying network? Or should I say… networks!

Page 3: Karlijn van Aerde. Two independent cortical subnetworks control spike timing of layer 5 pyramidal neurons during dynamic β oscillation shifts Karlijn.

Adrien Peyrache

Page 4: Karlijn van Aerde. Two independent cortical subnetworks control spike timing of layer 5 pyramidal neurons during dynamic β oscillation shifts Karlijn.

Time Course of Reactivation in the Prefrontal cortexAdrien Peyrache, K. Benchenane, S Wiener, F Battaglia

Arrival

Sleep PRE

Sleep POSTTime (s)

Time (s)

Fre

qu

en

cy

(H

z)F

req

ue

nc

y (

Hz)

Recordings

LFP

Recordings

LFP, Spikes

PFCHippocampus

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Sleep POST

Sleep PRE

1st PC

coefficient

delta/spindles events

freq

uen

cy (

Hz)

reactivation

measu

reHippocampal

filtered LFP

(100-300 Hz)

cells ensemble

activity

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Iris Grothe

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Attentional modulation of coherence between monkey area V1 and V4

Iris GrotheBernstein Group for Computational Neurosciences BremenGermany

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160

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160

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0 2 4 6Time (s)

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quen

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Hz)

Coherence P-value

Attentional modulation of coherence between monkey area V1 and V4

Iris GrotheBernstein Group for Computational Neurosciences BremenGermany

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Alexander Hanuschkin

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Magteld Zeitler

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Michiel Remme

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Paolo Bonifazi

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0 40002000 300010000

0.2

0.4

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Frac

tion

Cell

(#)

Time (frames)

IDENTIFICATION OF CELLULAR NETWORK HUBS DRIVING OSCILLATIONS IN THE DEVELOPING HIPPOCAMPUS

0

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970 975 980 985 990 995 10000

0.2

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Recording and “perturbation” of cells partecipating in build up of network synchrony

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Frac

tion

of c

ells

0

0.05

0.1

0.15

0.2

0 pA

+40 pA

-75 mV-45 mV

Cell-network interaction

200 µm

oo

200 µm

Morphology

Perturbating Not perturbating

Network topology(based on functional connectivity)

P. Bonifazi - M. GoldinY. Ben-AriR. Cossart

INMED, Marseille (France)

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David Chik

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Synchronization model Synchronization model of multi-stable of multi-stable perceptions perceptions

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Saskia Haegens

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Oscillatory brain activity during human somatosensory working memory maintenance

What is the role of primary and secondary sensory regions in working memory?Which oscillations are involved?

MEG, median nerve stimulation, delayed-match-to-sample task:

SII

SI

Primary somatosensory cortex (SI)

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Saskia HaegensF.C. Donders Centre for Cognitive Neuroimaging

April 21, 2023

Oscillatory brain activity during human somatosensory working memory maintenance

alpha ↑

alpha ↓

gamma ↑

gamma ↑

gamma ↑

Main conclusions: Sustained gamma band activity reflects working memory maintenance;

first in SI and then bilaterally in SII. Alpha band activity reflects functional inhibition of task-irrelevant regions.