Faculty Opinions recommendation of Effects of noise correlations on information encoding and decoding.

2006 ◽  
Author(s):  
Peter König
Keyword(s):  
Information Encoding

scholarly journals Brain Activity-Based Metrics for Assessing Learning States in VR under Stress among Firefighters: An Explorative Machine Learning Approach in Neuroergonomics

2021 ◽  
Vol 11 (7) ◽  
pp. 885
Author(s):  
Maher Abujelala ◽  
Rohith Karthikeyan ◽  
Oshin Tyagi ◽  
Jing Du ◽  
Ranjana K. Mehta
Keyword(s):  
Machine Learning ◽  
Environmental Conditions ◽  
Brain Activity ◽  
Memory Task ◽  
Classification Problem ◽  
Brain Regions ◽  
Training Data ◽  
Information Encoding ◽  
Machine Learning Approach ◽  
Encoding And Retrieval

The nature of firefighters` duties requires them to work for long periods under unfavorable conditions. To perform their jobs effectively, they are required to endure long hours of extensive, stressful training. Creating such training environments is very expensive and it is difficult to guarantee trainees’ safety. In this study, firefighters are trained in a virtual environment that includes virtual perturbations such as fires, alarms, and smoke. The objective of this paper is to use machine learning methods to discern encoding and retrieval states in firefighters during a visuospatial episodic memory task and explore which regions of the brain provide suitable signals to solve this classification problem. Our results show that the Random Forest algorithm could be used to distinguish between information encoding and retrieval using features extracted from fNIRS data. Our algorithm achieved an F-1 score of 0.844 and an accuracy of 79.10% if the training and testing data are obtained at similar environmental conditions. However, the algorithm’s performance dropped to an F-1 score of 0.723 and accuracy of 60.61% when evaluated on data collected under different environmental conditions than the training data. We also found that if the training and evaluation data were recorded under the same environmental conditions, the RPM, LDLPFC, RDLPFC were the most relevant brain regions under non-stressful, stressful, and a mix of stressful and non-stressful conditions, respectively.

scholarly journals Ratio-based multi-level resistive memory cells

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Miguel Angel Lastras-Montaño ◽  
Osvaldo Del Pozo-Zamudio ◽  
Lev Glebsky ◽  
Meiran Zhao ◽  
Huaqiang Wu ◽  
...  
Keyword(s):  
Error Probability ◽  
Resistance Switching ◽  
Closed Form Expression ◽  
Memory Cells ◽  
Resistive Memory ◽  
Worst Case ◽  
Information Encoding ◽  
Bit Error Probability ◽  
Multi Level ◽  
Switching Devices

AbstractRatio-based encoding has recently been proposed for single-level resistive memory cells, in which the resistance ratio of a pair of resistance-switching devices, rather than the resistance of a single device (i.e. resistance-based encoding), is used for encoding single-bit information, which significantly reduces the bit error probability. Generalizing this concept for multi-level cells, we propose a ratio-based information encoding mechanism and demonstrate its advantages over the resistance-based encoding for designing multi-level memory systems. We derive a closed-form expression for the bit error probability of ratio-based and resistance-based encodings as a function of the number of levels of the memory cell, the variance of the distribution of the resistive states, and the ON/OFF ratio of the resistive device, from which we prove that for a multi-level memory system using resistance-based encoding with bit error probability x, its corresponding bit error probability using ratio-based encoding will be reduced to $$x^2$$ x 2 at the best case and $$x^{\sqrt{2}}$$ x 2 at the worst case. We experimentally validated these findings on multiple resistance-switching devices and show that, compared to the resistance-based encoding on the same resistive devices, our approach achieves up to 3 orders of magnitude lower bit error probability, or alternatively it could reduce the cell’s programming time and programming energy by up 5–10$$\times$$ × , while achieving the same bit error probability.

scholarly journals High-Frequency Synchronization Improves Firing Rate Contrast and Information Transmission Efficiency in E/I Neuronal Networks

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Fang Han ◽  
Zhijie Wang ◽  
Hong Fan ◽  
Yaopeng Zhang
Keyword(s):  
Information Transmission ◽  
Firing Rate ◽  
Contrast Enhancement ◽  
High Frequency ◽  
Functional Role ◽  
Neuronal Networks ◽  
Time Window ◽  
Frequency Synchronization ◽  
Neuronal System ◽  
Information Encoding

High-frequency synchronization has been found in many real neural systems and is confirmed by excitatory/inhibitory (E/I) network models. However, the functional role played by it remains elusive. In this paper, it is found that high-frequency synchronization in E/I neuronal networks could improve the firing rate contrast of the whole network, no matter if the network is fully connected or randomly connected, with noise or without noise. It is also found that the global firing rate contrast enhancement can prevent the number of spikes of the neurons measured within the limited time window from being confused by noise, thereby enhancing the information encoding efficiency (quantified by entropy theory here) of the neuronal system. The mechanism of firing rate contrast enhancement is also investigated. Our work implies a possible functional role in information transmission of high-frequency synchronization in neuronal systems.

VON WILLEBRAND FACTOR (vWF) PRO-POLYPEPTIDE IS REQUIRED FOR vWF MULTIMER FORMATION

1987 ◽  
Author(s):  
C L Verweij ◽  
M Hart ◽  
H Pannekoek
Keyword(s):  
Endothelial Cells ◽  
Von Willebrand Factor ◽  
Secretory Pathway ◽  
Vascular Endothelial Cells ◽  
Expression System ◽  
Proteolytic Processing ◽  
Information Encoding ◽  
Interchain Interactions ◽  
Von Willebrand ◽  
Willebrand Factor

The von Willebrand factor (vWF) is a multimeric plasma glycoprotein synthesized in vascular endothelial cells as a pre-pro-polypeptide with a highly repetitive domain structure, symbolized by the formula:(H)-D1-D2-D'-D3-A1-A2-A3-D4-B1-B2-B3-C1-C2-(0H).A heterologous expression system, consisting of a monkey kidney cell line (C0S-1), transfected with full-length vWF cDNA, is shown to mimic the constitutively, secretory pathway of vWF in endothelial cells. The assembly of pro-vWF into multimers and the proteolytic processing of these structures is found to oro-ceed along the following, consecutive steps. Pro-vWF subunits associate to form dimers, a process that does not involve the pro-polypeptide of pro-vWF. This observation is derived from transfection of C0S-1 cells with vWF cDNA, lacking the genetic information encoding the pro-polypeptide, composed of the domains D1 and D2. Pro-vWF dimers are linked intracellularly to form a regular series of multimeric structures that are secreted and cannot be distinguished from those released constitutively by endothelial cells. The presence of the pro-polypeptide, embedded in pro-vWF, is obligatory for multimerization since the deletion mutant lacking the D1 and D2 domains fails to assemble beyond the dimer stage. It is argued that the D domains are involved in interchain interactions.

Enzyme‐Programmable Microgel Lasers for Information Encoding and Anticounterfeiting

2021 ◽  
pp. 2107809
Author(s):  
Xuerui Gong ◽  
Zhen Qiao ◽  
Yikai Liao ◽  
Song Zhu ◽  
Lei Shi ◽  
...  
Keyword(s):  
Information Encoding

Molecular neuron: From sensing to logic computation, information encoding, and encryption

2017 ◽  
Vol 239 ◽  
pp. 704-710 ◽  
Author(s):  
Wei Tao Huang ◽  
Ling Xiao Chen ◽  
Jing Lei Lei ◽  
Hong Qun Luo ◽  
Nian Bing Li
Keyword(s):  
Information Encoding ◽  
Logic Computation

scholarly journals Information Encoding with Optical Dielectric Metasurface via Independent Multichannels

ACS Photonics ◽  
2018 ◽  
Vol 6 (1) ◽  
pp. 230-237 ◽  
Author(s):  
Fengliang Dong ◽  
Hang Feng ◽  
Lihua Xu ◽  
Bo Wang ◽  
Zhiwei Song ◽  
...  
Keyword(s):  
Information Encoding ◽  
Optical Dielectric ◽  
Dielectric Metasurface

scholarly journals An axon initial segment is required for temporal precision in action potential encoding by neuronal populations

2018 ◽  
Vol 4 (11) ◽  
pp. eaau8621 ◽  
Author(s):  
Elinor Lazarov ◽  
Melanie Dannemeyer ◽  
Barbara Feulner ◽  
Jörg Enderlein ◽  
Michael J. Gutnick ◽  
...  
Keyword(s):  
Initial Segment ◽  
Axon Initial Segment ◽  
High Concentration ◽  
Information Encoding ◽  
Temporal Precision ◽  
Network Function ◽  
Evolutionary Innovation ◽  
Voltage Dependent ◽  
Vitro Model

Central neurons initiate action potentials (APs) in the axon initial segment (AIS), a compartment characterized by a high concentration of voltage-dependent ion channels and specialized cytoskeletal anchoring proteins arranged in a regular nanoscale pattern. Although the AIS was a key evolutionary innovation in neurons, the functional benefits it confers are not clear. Using a mutation of the AIS cytoskeletal protein βIV-spectrin, we here establish an in vitro model of neurons with a perturbed AIS architecture that retains nanoscale order but loses the ability to maintain a high NaV density. Combining experiments and simulations, we show that a high NaV density in the AIS is not required for axonal AP initiation; it is, however, crucial for a high bandwidth of information encoding and AP timing precision. Our results provide the first experimental demonstration of axonal AP initiation without high axonal channel density and suggest that increasing the bandwidth of the neuronal code and, hence, the computational efficiency of network function, was a major benefit of the evolution of the AIS.

scholarly journals A Neuromorphic Digital Circuit for Neuronal Information Encoding Using Astrocytic Calcium Oscillations

2019 ◽  
Vol 13 ◽  
Author(s):  
Farnaz Faramarzi ◽  
Fatemeh Azad ◽  
Mahmood Amiri ◽  
Bernabé Linares-Barranco
Keyword(s):  
Digital Circuit ◽  
Calcium Oscillations ◽  
Information Encoding
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