scholarly journals A Smarter Pavlovian Dog with Optically Modulated Associative Learning in an Organic Ferroelectric Neuromem

Research ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Mengjiao Pei ◽  
Changjin Wan ◽  
Qiong Chang ◽  
Jianhang Guo ◽  
Sai Jiang ◽  
...  
Keyword(s):  
Associative Learning ◽  
Logic Gates ◽  
Charge Carriers ◽  
Digital Data ◽  
Optical Modulation ◽  
Proof Of Concept ◽  
Multiple Signals ◽  
High Tunability ◽  
Digital Data Processing ◽  
Large Output

Associative learning is a critical learning principle uniting discrete ideas and percepts to improve individuals’ adaptability. However, enabling high tunability of the association processes as in biological counterparts and thus integration of multiple signals from the environment, ideally in a single device, is challenging. Here, we fabricate an organic ferroelectric neuromem capable of monadically implementing optically modulated associative learning. This approach couples the photogating effect at the interface with ferroelectric polarization switching, enabling highly tunable optical modulation of charge carriers. Our device acts as a smarter Pavlovian dog exhibiting adjustable associative learning with the training cycles tuned from thirteen to two. In particular, we obtain a large output difference (>103), which is very similar to the all-or-nothing biological sensory/motor neuron spiking with decrementless conduction. As proof-of-concept demonstrations, photoferroelectric coupling-based applications in cryptography and logic gates are achieved in a single device, indicating compatibility with biological and digital data processing.

scholarly journals The digital data processing concepts of the LOFT mission

2014 ◽  
Author(s):  
C. Tenzer ◽  
A. Argan ◽  
A. Cros ◽  
Y. Favre ◽  
M. Gschwender ◽  
...  
Keyword(s):  
Data Processing ◽  
Digital Data ◽  
Digital Data Processing

scholarly journals Synthesizing artificial devices that redirect cellular information at will

eLife ◽  
2018 ◽  
Vol 7 ◽  
Author(s):  
Yuchen Liu ◽  
Jianfa Li ◽  
Zhicong Chen ◽  
Weiren Huang ◽  
Zhiming Cai
Keyword(s):  
Cancer Cells ◽  
Signaling Pathway ◽  
Gene Networks ◽  
Target Genes ◽  
Logic Gates ◽  
Feedback Loops ◽  
Oncogenic Signaling ◽  
Multiple Signals ◽  
Translational Level ◽  
At Will

Natural signaling circuits could be rewired to reprogram cells with pre-determined procedures. However, it is difficult to link cellular signals at will. Here, we describe signal-connectors—a series of RNA devices—that connect one signal to another signal at the translational level. We use them to either repress or enhance the translation of target genes in response to signals. Application of these devices allows us to construct various logic gates and to incorporate feedback loops into gene networks. They have also been used to rewire a native signaling pathway and even to create novel pathways. Furthermore, logical AND gates based on these devices and integration of multiple signals have been used successfully for identification and redirection of the state of cancer cells. Eventually, the malignant phenotypes of cancers have been reversed by rewiring the oncogenic signaling from promoting to suppressing tumorigenesis. We provide a novel platform for redirecting cellular information.

Photonic logic gates with simultaneous processing of multiple signals

2012 ◽  
Author(s):  
Vasile Degeratu ◽  
Ştefania Degeratu ◽  
Paul Şchiopu
Keyword(s):  
Logic Gates ◽  
Multiple Signals ◽  
Simultaneous Processing

Design, Construction, and Two Applications for an Automated Flow—Cell Polarization Fluorometer with Digital Read Out: Enzyme-Inhibitor (Antitrypsin) Assay and Antigen—Antibody (Insulin—Insulin Antiserum) Assay

1973 ◽  
Vol 19 (8) ◽  
pp. 838-844 ◽  
Author(s):  
Richard D Spencer ◽  
Fernando B Toledo ◽  
Ben T Williams ◽  
Norma L Yoss
Keyword(s):  
Fluorescence Polarization ◽  
Enzyme Inhibitor ◽  
Flow Cell ◽  
Cell Polarization ◽  
Digital Data ◽  
Multiple Components ◽  
Digital Data Processing ◽  
Fluorescence Polarization Assay ◽  
Antigen Antibody ◽  
Design Construction

Abstract We have constructed and automated a flow cell polarization fluorometer and demonstrated two specific clinical applications of fluorescence polarization assay, i.e., the enzyme-inhibitor assay of antitrypsin in serum and the antigen-antibody assay of insulin and its antibody. A signal is displayed directly and is immediately available for chart recording and (or) digital data processing. Since fluorescence polarization offers a number of choices in assay parameters and the use of different fluorescent probes, its development for rapid simultaneous measurements of multiple components in body fluids should be possible.

Microphotometer Digital Data Processing

1971 ◽  
Vol 11 ◽  
pp. 185-187
Author(s):  
J. B. Hutchings
Keyword(s):  
Data Processing ◽  
Digital Data ◽  
Digital Output ◽  
The Past ◽  
Knowing That ◽  
Important Improvement ◽  
Digital Data Processing ◽  
Programming Systems ◽  
Speed And Accuracy

In the past several years many, if not most, observatory microphotometers have been made or adapted to give digital output. At the same time, astronomers have been faced with the task of specifying exactly all the folk lore and experience necessary to reduce microphotometer output, so that the task can be performed by a computer. In addition to the speed and accuracy gains therefore, we have also been obliged to separate the subjective from the objective in this processing, and this may be the most important improvement of all.Knowing that many other observatories have developed similar programming systems, this paper presumably does not contain much that is startlingly new, but it is hoped that it may promote the exchange of ideas desirable to overcome common difficulties and avoid duplication (or multiplication) of effort.

scholarly journals Susceptibility of surface texture parameters to acquisition point clouds with digital data processing of data from optical measuring systems

2019 ◽  
Vol 252 ◽  
pp. 03020 ◽  
Author(s):  
Emilia Bachtiak-Radka ◽  
Sara Dudzińska ◽  
Daniel Grochała ◽  
Stefan Berczyński
Keyword(s):  
Data Processing ◽  
Surface Texture ◽  
Surface Characteristics ◽  
Point Clouds ◽  
Digital Processing ◽  
Digital Data ◽  
Measuring Systems ◽  
Optical Measuring ◽  
Digital Data Processing ◽  
The Impact

Digital processing of the recorded point clouds on innovative surfaces could facilitate the operator’s planning of the metrological process and give more freedom in the assessment of the surface texture. The current state of knowledge about surface characteristics, precision and quality of measurements and especially the repeatability of measurements – not only in the laboratory environment but also in the industry pose a big challenge. The paper presents research works related to the identification of the impact of the method of acquisition point clouds using digital data processing on surface texture. The main assumption of the paper was to carry out, according to the prepared plan of the experiment, the series of sample measurements with the use of the optical measuring systems AltiSurf A520 in the Laboratory of Surface Topography at the West Pomeranian University of Technology in Szczecin. The next task was to determine the impact of the digital data processing strategy in order to identify the significance of the impact (conditions and methods of filtration), which in practice largely determines the repeatability and reproducibility of the parameter values of the geometry surface structure.

scholarly journals Demand management by active consumers in intelligent electric power systems

2020 ◽  
Vol 157 ◽  
pp. 05006
Author(s):  
Evgeny Tretyakov
Keyword(s):  
Power Systems ◽  
Electric Power ◽  
Technological Process ◽  
Demand Management ◽  
Electric Power Systems ◽  
Digital Data ◽  
Practical Implementation ◽  
Processing Technologies ◽  
Digital Data Processing ◽  
Network Schedule

The approaches to demand management by active consumers through forming a given schedule of power consumption in the required period of time based on the solution of the optimization problem in the form of maximizing the power of connected controlled electric receivers of various types are presented. The model of demand management by active consumers is justified, taking into account the following factors: load sensitivity for connecting a transformer substation to a change in consumer load; load priority; consistent load reduction levels with flexible performance and power control; permissible set of electric receivers in accordance with the technological process, network schedule, other logical conditions corresponding to adjacency lists. An algorithm has been developed for limiting power on the part of active consumers based on the widespread use of digital data processing technologies, modern technical means of measurement, control and switching of end consumers in real time. The presented research results indicate the validity of the demand management method by active consumers in the normal mode of intelligent electric power systems and the possibility of its practical implementation in an industrial enterprise with reference to the technological process.

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