scholarly journals Performance of Children and Adolescents on Random Number Generation as a measure of Executive Functions

2021 ◽  
Vol 11 (1) ◽  
pp. 37
Author(s):  
Georgios Chatzopoulos ◽  
Magda Dinou ◽  
Hariklia Proios
Keyword(s):  
Executive Functions ◽  
Children And Adolescents ◽  
Random Number ◽  
Random Number Generation ◽  
Relevant Information ◽  
Pseudorandom Sequences ◽  
School Aged Children ◽  
Number Generation ◽  
Age Related ◽  
Inhibition Ability

This study investigated the age-related differences in the random number generation (RNG) of children aged 7 to 15 years old (n=106) divided into three groups (7-9, 10-12 and 13-15 years of age) as it was compared to computer-generated pseudorandom sequences. The results showed that there was an age effect on four out of seven indices of randomization that are known to tap the Inhibition ability and the Updating ability (i.e., active manipulation of relevant information in working memory). The participants’ (children’s and adolescents’; n=106) responses were significantly different from pseudorandom sequences (n=106) produced by the RgCalc program and no gender differences were observed. The RNG task indices that reflect inhibition ability did not correlate with the participants’ performance on the Stroop color-word task. The development of executive functions in school-aged children and adolescents is discussed.

Random Number Generation and Executive Functions in Parkinson’s Disease: An Event-Related Brain Potential Study

2015 ◽  
Vol 5 (3) ◽  
pp. 613-620 ◽  
Author(s):  
Thomas F. Münte ◽  
Gregor Joppich ◽  
Jan Däuper ◽  
Christoph Schrader ◽  
Reinhard Dengler ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Executive Functions ◽  
Random Number ◽  
Random Number Generation ◽  
Brain Potential ◽  
Number Generation ◽  
Potential Study

scholarly journals A Cognitive Fingerprint in Human Random Number Generation

2020 ◽  
Author(s):  
Marc-Andre Schulz ◽  
Sebastian Baier ◽  
Benjamin Böhme ◽  
Danilo Bzdok ◽  
Karsten Witt
Keyword(s):  
Random Number ◽  
Individual Preference ◽  
Random Number Generation ◽  
General Question ◽  
Pseudorandom Sequences ◽  
Number Generation ◽  
Brain Structure And Function ◽  
And Function ◽  
Recurrent Patterns ◽  
Human Specific

Most work in the neurosciences collapses data from multiple subjects to obtain robust statistical results. This research agenda ignores that even in healthy subjects brain structure and function are known to be highly variable. Recently, Finn and colleagues showed that the brain's functional organisation is unique to each individual and can yield human-specific connectome fingerprints. This raises the question whether unique functional brain architecture may reflect a unique implementation of cognitive processes and problem solving - i.e. "Can we identify single individuals based on how they think?". The present study addresses the general question of interindividual differences in the specific context of human random number generation. We analyzed the deployment of recurrent patterns in the pseudorandom sequences to develop an identification scheme based on subject-specific volatility patterns. We demonstrate that individuals can be reliably identified based on how they how they generate randomness patterns alone. We moreover show that this phenomenon is driven by individual preference and inhibition of patterns, together forming a cognitive fingerprint.

Brain potentials index executive functions during random number generation

2004 ◽  
Vol 49 (2) ◽  
pp. 157-164 ◽  
Author(s):  
Gregor Joppich ◽  
Jan Däuper ◽  
Reinhard Dengler ◽  
Sönke Johannes ◽  
Antoni Rodriguez-Fornells ◽  
...  
Keyword(s):  
Executive Functions ◽  
Random Number ◽  
Random Number Generation ◽  
Brain Potentials ◽  
Number Generation

scholarly journals Performance of university students on random number generation at different rates to evaluate executive functions

2004 ◽  
Vol 62 (1) ◽  
pp. 58-60 ◽  
Author(s):  
Amer C. Hamdan ◽  
Juberty A. de Souza ◽  
Orlando F. A. Bueno
Keyword(s):  
University Students ◽  
Executive Functions ◽  
Random Number ◽  
Random Number Generation ◽  
Response Speed ◽  
Random Numbers ◽  
Generation Task ◽  
Number Generation ◽  
Young Subjects

OBJECTIVE: To evaluate the performance of adult young subjects in a Random Number Generation (RNG) task by controlling the response speed (RS). METHOD: Sixty-nine university students of both sexes took part in the experiment (25.05 ± 6.71 year-old). Participants were alloted into 3 groups which differed in RS rates to generate numbers: 1, 2 and 4 seconds to generate each number. A digital metronomer was used to control RS. Participants were asked to generate 100 numbers. The responses were mensured through Evans's RNG Index. RESULTS: There were statistically significant differences among the groups [F (3, 68) = 7.120; p < .05]. Differences were localized between 1 and 2 seconds (p = 0.004) and between 1 and 4 seconds (p = 0.006). No differences were observed between 2 and 4 seconds (p = 0.985). CONCLUSION: The present results suggest that the response speed in production of random numbers influences the performance of the Random Numbers Generation task.

Random Number Generation Based on the Rossler Attractor

2014 ◽  
Vol 1 ◽  
pp. 272-275 ◽  
Author(s):  
Vincent Canals ◽  
Antoni Morro ◽  
Josep L. Rosselló
Keyword(s):  
Random Number ◽  
Random Number Generation ◽  
Number Generation

On-chip tunable SOI interferometer for quantum random number generation based on phase diffusion in lasers

2021 ◽  
Vol 485 ◽  
pp. 126736
Author(s):  
Muhammad Imran ◽  
Vito Sorianello ◽  
Francesco Fresi ◽  
Bushra Jalil ◽  
Marco Romagnoli ◽  
...  
Keyword(s):  
Random Number ◽  
Random Number Generation ◽  
Phase Diffusion ◽  
Number Generation ◽  
On Chip

scholarly journals True Random Number Generator Based on Fibonacci-Galois Ring Oscillators for FPGA

2021 ◽  
Vol 11 (8) ◽  
pp. 3330
Author(s):  
Pietro Nannipieri ◽  
Stefano Di Matteo ◽  
Luca Baldanzi ◽  
Luca Crocetti ◽  
Jacopo Belli ◽  
...  
Keyword(s):  
Field Programmable Gate Array ◽  
Random Number ◽  
Random Number Generator ◽  
Random Number Generation ◽  
Galois Ring ◽  
Number Generator ◽  
True Random Number Generator ◽  
Number Generation ◽  
Field Programmable ◽  
Gate Array

Random numbers are widely employed in cryptography and security applications. If the generation process is weak, the whole chain of security can be compromised: these weaknesses could be exploited by an attacker to retrieve the information, breaking even the most robust implementation of a cipher. Due to their intrinsic close relationship with analogue parameters of the circuit, True Random Number Generators are usually tailored on specific silicon technology and are not easily scalable on programmable hardware, without affecting their entropy. On the other hand, programmable hardware and programmable System on Chip are gaining large adoption rate, also in security critical application, where high quality random number generation is mandatory. The work presented herein describes the design and the validation of a digital True Random Number Generator for cryptographically secure applications on Field Programmable Gate Array. After a preliminary study of literature and standards specifying requirements for random number generation, the design flow is illustrated, from specifications definition to the synthesis phase. Several solutions have been studied to assess their performances on a Field Programmable Gate Array device, with the aim to select the highest performance architecture. The proposed designs have been tested and validated, employing official test suites released by NIST standardization body, assessing the independence from the place and route and the randomness degree of the generated output. An architecture derived from the Fibonacci-Galois Ring Oscillator has been selected and synthesized on Intel Stratix IV, supporting throughput up to 400 Mbps. The achieved entropy in the best configuration is greater than 0.995.

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