scholarly journals Effect of potassium channel noise on nerve discharge based on the Chay model

2020 ◽  
Vol 28 ◽  
pp. 371-381
Author(s):  
Zhongting Jiang ◽  
Dong Wang ◽  
Huijie Shang ◽  
Yuehui Chen
Keyword(s):  
Potassium Channel ◽  
Channel Noise ◽  
Nerve Discharge

Characterization of Mammalian Potassium Channel Genes

1991 ◽  
Author(s):  
James O. Douglass ◽  
◽  
Macdonald Christie ◽  
John P. Adelman ◽  
R. Alan North
Keyword(s):  
Potassium Channel

Successful therapy with glibenclamid in a patient with a muation of KIR 6.2 subunit of the ATP-sensitive potassium channel

2006 ◽  
Vol 37 (03) ◽  
Author(s):  
F Hörster ◽  
AT Hattersley ◽  
FM Ashcroft ◽  
J Grulich-Henn ◽  
T Bast ◽  
...  
Keyword(s):  
Potassium Channel ◽  
Successful Therapy

Limbic encephalitis with voltage gated potassium channel antibodies in a child

2008 ◽  
Vol 39 (01) ◽  
Author(s):  
E Haberlandt ◽  
CG Bien ◽  
A Reiter ◽  
B Simma ◽  
R Crazzolara ◽  
...  
Keyword(s):  
Potassium Channel ◽  
Limbic Encephalitis ◽  
Voltage Gated

Detection of Malicious Spatial-Domain Steganography over Noisy Channels Using Convolutional Neural Networks

2020 ◽  
Vol 2020 (4) ◽  
pp. 76-1-76-7
Author(s):  
Swaroop Shankar Prasad ◽  
Ofer Hadar ◽  
Ilia Polian
Keyword(s):  
State Of The Art ◽  
Visual Quality ◽  
Channel Noise ◽  
Detection Accuracy ◽  
Noisy Channel ◽  
Noisy Channels ◽  
Reliable Transmission ◽  
Reliable Detection ◽  
Natural Noise ◽  
Will Force

Image steganography can have legitimate uses, for example, augmenting an image with a watermark for copyright reasons, but can also be utilized for malicious purposes. We investigate the detection of malicious steganography using neural networkbased classification when images are transmitted through a noisy channel. Noise makes detection harder because the classifier must not only detect perturbations in the image but also decide whether they are due to the malicious steganographic modifications or due to natural noise. Our results show that reliable detection is possible even for state-of-the-art steganographic algorithms that insert stego bits not affecting an image’s visual quality. The detection accuracy is high (above 85%) if the payload, or the amount of the steganographic content in an image, exceeds a certain threshold. At the same time, noise critically affects the steganographic information being transmitted, both through desynchronization (destruction of information which bits of the image contain steganographic information) and by flipping these bits themselves. This will force the adversary to use a redundant encoding with a substantial number of error-correction bits for reliable transmission, making detection feasible even for small payloads.

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