Back

Synchronization through uncorrelated noise in excitatory-inhibitory networks

Rebscher, L.; Obermayer, K.; Metzner, C.

2021-11-01 neuroscience
10.1101/2021.10.29.466430 bioRxiv
Show abstract

Gamma rhythms play a major role in many different processes in the brain, such as attention, working memory and sensory processing. While typically considered detrimental, counterintuitively noise can sometimes have beneficial effects on communication and information transfer. Recently, Meng and Riecke showed that synchronization of interacting networks of inhibitory neurons in the gamma band increases while synchronization within these networks decreases when neurons are subject to uncorrelated noise. However, experimental and modeling studies point towards an important role of the pyramidal-interneuronal network gamma (PING) mechanism in the cortex. Therefore, we investigated the effect of uncorrelated noise on the communication between excitatory-inhibitory networks producing gamma oscillations via a PING mechanism. Our results suggest that synaptic noise can have a supporting role in facilitating inter-regional communication and that noise-induced synchronization between networks is generated via a different mechanism than when synchronization is mediated by strong synaptic coupling. Noise-induced synchronization is achieved by lowering synchronization within networks which allows the respective other network to impose its own gamma rhythm resulting in synchronization between networks.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

1
Scientific Reports
3102 papers in training set
Top 7%
9.8%
2
Frontiers in Computational Neuroscience
53 papers in training set
Top 0.2%
8.9%
3
Chaos, Solitons & Fractals
32 papers in training set
Top 0.2%
8.2%
4
PLOS Computational Biology
1633 papers in training set
Top 5%
6.6%
5
Frontiers in Systems Neuroscience
19 papers in training set
Top 0.1%
6.2%
6
Journal of Computational Neuroscience
23 papers in training set
Top 0.1%
4.7%
7
Neural Networks
32 papers in training set
Top 0.2%
3.5%
8
Neuroscience
88 papers in training set
Top 0.4%
3.5%
50% of probability mass above
9
Physical Review E
95 papers in training set
Top 0.4%
3.0%
10
Cerebral Cortex
357 papers in training set
Top 0.5%
2.5%
11
iScience
1063 papers in training set
Top 8%
2.5%
12
eneuro
389 papers in training set
Top 4%
2.5%
13
Frontiers in Neuroscience
223 papers in training set
Top 2%
2.4%
14
Cognitive Neurodynamics
15 papers in training set
Top 0.1%
2.3%
15
Brain Topography
23 papers in training set
Top 0.1%
2.0%
16
The Journal of Neuroscience
928 papers in training set
Top 6%
1.6%
17
Progress in Neurobiology
41 papers in training set
Top 0.8%
1.6%
18
PLOS ONE
4510 papers in training set
Top 55%
1.6%
19
Chaos: An Interdisciplinary Journal of Nonlinear Science
16 papers in training set
Top 0.1%
1.6%
20
eLife
5422 papers in training set
Top 46%
1.4%
21
Frontiers in Neural Circuits
36 papers in training set
Top 0.4%
1.3%
22
Neurocomputing
13 papers in training set
Top 0.3%
1.3%
23
Communications Biology
886 papers in training set
Top 13%
1.3%
24
Neural Computation
36 papers in training set
Top 0.5%
1.2%
25
NeuroImage
813 papers in training set
Top 5%
0.9%
26
Biophysical Journal
545 papers in training set
Top 5%
0.7%
27
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 45%
0.7%
28
Network Neuroscience
116 papers in training set
Top 1%
0.7%
29
Journal of Neurophysiology
263 papers in training set
Top 1%
0.7%
30
Physical Review Research
46 papers in training set
Top 1%
0.6%