scholarly journals Critical size of neural population for reliable information transmission

2019 ◽  
Vol 100 (5) ◽  
Author(s):  
Lubomir Kostal ◽  
Ryota Kobayashi
2018 ◽  
Vol 115 (48) ◽  
pp. 12241-12246 ◽  
Author(s):  
Christian Hilbe ◽  
Laura Schmid ◽  
Josef Tkadlec ◽  
Krishnendu Chatterjee ◽  
Martin A. Nowak

Indirect reciprocity is a mechanism for cooperation based on shared moral systems and individual reputations. It assumes that members of a community routinely observe and assess each other and that they use this information to decide who is good or bad, and who deserves cooperation. When information is transmitted publicly, such that all community members agree on each other’s reputation, previous research has highlighted eight crucial moral systems. These “leading-eight” strategies can maintain cooperation and resist invasion by defectors. However, in real populations individuals often hold their own private views of others. Once two individuals disagree about their opinion of some third party, they may also see its subsequent actions in a different light. Their opinions may further diverge over time. Herein, we explore indirect reciprocity when information transmission is private and noisy. We find that in the presence of perception errors, most leading-eight strategies cease to be stable. Even if a leading-eight strategy evolves, cooperation rates may drop considerably when errors are common. Our research highlights the role of reliable information and synchronized reputations to maintain stable moral systems.


Author(s):  
Daniel Miner ◽  
Florentin Wörgötter ◽  
Christian Tetzlaff ◽  
Michael Fauth

Our brains process information using a layered hierarchical network architecture, with abundant connections within each layer and sparse long-range connections between layers. As these long-range connections are mostly unchanged after development, each layer has to locally self-organize in response to new inputs to enable information routing between the sparse in- and output connections. Here we demonstrate that this can be achieved by a well-established model of cortical self-organization based on a well-orchestrated interplay between several plasticity processes. After this self-organization, stimuli conveyed by sparse inputs can be rapidly read out from a layer using only very few long-range connections. To achieve this information routing, the neurons that are stimulated form feed-forward projections into the unstimulated parts of the same layer and get more neurons to represent the stimulus. Hereby, the plasticity processes ensure that each neuron only receives projections from and responds to only one stimulus such that the network is partitioned into parts with different preferred stimuli. Along this line, we show that the relation between the network activity and connectivity self-organizes to a biologically plausible regime. Finally, we argue how the emerging connectivity may minimize the metabolic cost for maintaining a network structure under the above described constraints.


2021 ◽  
Vol 2079 (1) ◽  
pp. 012031
Author(s):  
Wenjia Xie ◽  
Zhe Wang ◽  
Ping Tang ◽  
Zhongmin Zhang ◽  
Longsheng Chen

Abstract In order to solve the problem of reliable information transmission between data centers and data sources, between data sources and between data centers, as well as the "network island" communication problem, a dynamic MPLS VPN method is proposed, the principle and steps of the method are introduced, and how to apply the method to the supporting platform is explained in detail.


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