Within the authentic article Wu et al. (2002) was not cited within the article. The quotation has now been inserted in Strategies, Encoding and Decoding Schemes, Paragraph 1 and may learn:
Spiking neural networks want efficient encoding strategies to course of the enter stimulus and decoding strategies to characterize the output stimulus to deal with numerous stimulus patterns. Inhabitants coding is “a technique to characterize stimuli through the use of the joint actions of plenty of neurons. Experimental research have revealed that this coding paradigm is broadly used within the sensor and motor areas of the mind” (Wu et al., 2002). Apart from, inhabitants coding tries to keep away from the anomaly of the messages carried inside a single trial by every neuron (Panzeri et al., 2010).
Moreover, within the authentic article, Rabinowitz et al. (2018) ought to be referenced greater than as soon as. The quotation has now been inserted in Strategies, The Structure of the ToM-SNN, Paragraph 2 and may learn:
Our mannequin is a a number of mind areas coordination mannequin composed of a number of modules. It’s not an end-to-end multilayer neural community. The benefits of a a number of mind areas coordinationmodel are mirrored in two facets. First, impressed by mind construction and performance, modules within the ToM-SNN comparable to particular mind areas have particular capabilities. The tip-to-end neural networks are “recurrently described as opaque, uninterpretable black-boxes” (Rabinowitz et al., 2018). Our mannequin is extra biologically believable and extra interpretable. Second, a a number of mind areas coordination mannequin can cut back the burden of coaching. When a brand new function seems within the job, solely the module for this function must be retrained. So this construction can cut back the quantity of calculation and enhance effectivity. The coverage inference module, the motion prediction module, and the state analysis module are absolutely related SNNs with two layers. Particulars of the two-layers SNNs are as follows. The enter present of the enter layer and the output layer is denoted by Iin and Iout, respectively. The output spikes of the enter layer and the output layer are denoted by Sin and Sout, respectively. Part 3.1 describes the neural spiking course of. At every time step t, the enter present to neuron j on the output layer is built-in as Equation (5).
The authors apologize for this error and state that this doesn’t change the scientific conclusions of the article in any manner. The unique article has been up to date.
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Key phrases: brain-inspired mannequin, security dangers, SNNs, R-STDP, principle of thoughts
Quotation: Zhao Z, Lu E, Zhao F, Zeng Y and Zhao Y (2022) Corrigendum: A Mind-Impressed Concept of Thoughts Spiking Neural Community for Lowering Security Dangers of Different Brokers. Entrance. Neurosci. 16:920292. doi: 10.3389/fnins.2022.920292
Acquired: 14 April 2022; Accepted: 03 Could 2022;
Revealed: 19 Could 2022.
Edited and reviewed by: Georgios Ch. Sirakoulis, Democritus College of Thrace, Greece
Copyright © 2022 Zhao, Lu, Zhao, Zeng and Zhao. That is an open-access article distributed beneath the phrases of the Artistic Commons Attribution License (CC BY). The use, distribution or copy in different boards is permitted, offered the unique writer(s) and the copyright proprietor(s) are credited and that the unique publication on this journal is cited, in accordance with accepted educational follow. No use, distribution or copy is permitted which doesn’t adjust to these phrases.
*Correspondence: Yi Zeng, email@example.com
†These authors have contributed equally to this work and share first authorship