Assessing the Impact of a Dynamic Intervention within a Perceptual Discrimination Training Module

Author(s):  
Javier Rivera ◽  
Michael T. Curtis ◽  
Florian Jentsch ◽  
Jose Quevedo
2019 ◽  
Vol 36 (9) ◽  
pp. 859-865 ◽  
Author(s):  
Rivkah Ginat‐Frolich ◽  
Zohar Klein ◽  
Idan M. Aderka ◽  
Tomer Shechner

1965 ◽  
Vol 8 (2) ◽  
pp. 165-181 ◽  
Author(s):  
Beth Rosenberg

The ability of 24 aphasics to make the perceptualdiscriminations, presumed to be basic to reading, was assessed and trained in automated fashion. Five training programs utilized forms abstracted as those necessary to compose the symbols of the English (Modern European) alphabet, and employed them in shape, up-down, and right-left discrimination tasks. A verbal transfer test was composed of sets of words, nonsense syllables, and individual letters. Data from the aphasic patients indicated that the training programs were effective in improving the latency of the discrimination response and that this improvement was manifested in general transfer to verbal test items. Training and transfer gains were maintained for at least a week after training. The results are interpreted as offering support for the view that form discrimination is a basic factor in at least the visual verbal aspect of language behavior. They also indicate that it is possible to design effective automated training procedures for use with patients who have frequently been considered untrainable.


2014 ◽  
Vol 31 (3) ◽  
pp. 238-260 ◽  
Author(s):  
Vinod Kumar Khanna ◽  
Ruby Gupta

Purpose – The Japanese have had a phenomenal impact on the world's market using 5 “S” and total quality management (TQM) philosophy. Though Indian companies also claim to follow these philosophies, however India has not been able to make substantial s in this regard. India has been ranked very low (India's rank has been 35 out of 59 economies) as per the IMD world competitiveness year book 2012 report. During a literature survey, it was found that competency-based training contributes to a greater extent for the success of 5 “S” and TQM implementation. Therefore, research was undertaken to study the effect of competency-based training on the implementation of 5 “S” and TQM principles. The paper aims to discuss these issues. Design/methodology/approach – This paper attempts to assess and compare the role of competency-based training on the status of 5 “S” and TQM in Mayur Uniquoters Ltd (MUL) and SKH Metals Ltd. This paper compiles a list of the most important competency variables and prepares a competency training module for the industries. Quality award models will be used to compute a competency index, 5 “S” index, and TQM index before and after competency-based training in MUL. However, in the case of SKH Metals Ltd, the competency index, 5 “S” index and TQM index will be analyzed only after competency-based training. The index methodology has been used to assess and compare the level of performance in competency, 5 “S”, and TQM and the result will be validated through a two-sample t-test. Findings – The paper reveals that competency-based training has a positive correlation on, 5 “S” and TQM, and is instrumental in improving the level of 5 “S” and TQM in both industries. Based on a two-sample t-test, the performance of 5 “S” and TQM improved by 74.4 and 84.5 percent, respectively, in case of MUL. This paper also prepares the competency-based training module. Research limitations/implications – The investigation and research findings are still exploratory. Future research can focus on and establish the correlation based on a larger number of organizations. A broadly based and larger sample size would provide a better picture of the relationship between competency, 5 “S” and TQM philosophy. The data have been collected before and after competency-based training in Mayur Uniquoters, whereas, in the case of SKH Metals, the data have been compiled only after competency-based training. Originality/value – The study has been able to compile competency variables based on the feedback of 84 industries and also prepares a competency training module. Competency index, 5 “S” index and TQM index have been analyzed before and after competency-based training in MUL and two-sample t-test was also performed. In the case of SKH Metals Ltd, the data have been analyzed after competency-based training. The study has been able to identify that both organizations could perform better in 5 “S” and TQM after competency-based training. India stands a better chance in improving its competitiveness in the world ranking if all organizations focus on competency-based training, apart from training on 5 “S” and TQM.


2001 ◽  
Vol 35 (5) ◽  
pp. 613-618 ◽  
Author(s):  
Marina Vamos

Objective: The aim was to design and run a three-session training module for psychiatric registrars on professional practice with particular emphasis on boundary setting. This included the concept of boundary transgression, an understanding of how it occurs and how it may be avoided. Method: Drawing on North American experience a curriculum was designed and trialed for trainees at all levels. A variety of media were employed to present a range of common clinical and professional issues. Evaluated were trainee satisfaction, trainee responses to target vignettes at the beginning and at the end of the course, and supervisor awareness and involvement in the process. Results: High attendance and high satisfaction ratings in most areas confirmed that a course such as this is attractive and relevant for psychiatric trainees. Vignette responses suggested some change may have occurred by the end of the course, with a more limited tendency to avoid potentially challenging situations and a higher capacity to explore them. Supervisor involvement remains largely unaddressed despite interest and enthusiasm. Conclusion: The area of interpersonal relatedness in psychiatry, including the issue of sexual attraction and the possibility of sexual misconduct, can be introduced as a training package in a way which is acceptable to trainees and their supervisors in an Australian setting. The impact of the training module on actual registrar behaviour is uncertain.


2020 ◽  
Author(s):  
Helena Gellersen ◽  
Alexandra N. Trelle ◽  
Richard Henson ◽  
Jon Simons

Mnemonic discrimination deficits, or impaired ability to discriminate between similar events in memory, is a hallmark of cognitive ageing, characterised by a stark age-related increase in false recognition. While individual differences in mnemonic discrimination have gained attention due to potential relevance for early detection of Alzheimer’s disease (AD), our understanding of the component processes that contribute to variability in task performance across older adults remains limited. The present investigation explores the roles of representational quality, indexed by perceptual discrimination of objects and scenes with overlapping features, and strategic retrieval ability, indexed by standardized tests of executive function, to mnemonic discrimination in a large cohort of older adults (N=124). We took an individual differences approach and characterised the contributions of these factors to performance under Forced Choice (FC) and Yes/No (YN) recognition memory formats, which place different demands on strategic retrieval. Performance in both test formats declined with age. Accounting for age, individual differences in FC memory performance were best explained by perceptual discrimination score, whereas YN memory performance was best explained by executive functions. A dominance analysis confirmed the relatively greater importance of perceptual discrimination over executive functioning for FC performance, while the opposite was true for YN. These findings highlight parallels between perceptual and mnemonic discrimination in aging, the importance of considering demands on executive functions in the context of mnemonic discrimination, and the relevance of test format for modulating the impact of these factors on performance in older adults.


2021 ◽  
Vol 17 (2) ◽  
pp. 1-29
Author(s):  
Anand Kumar Mukhopadhyay ◽  
Atul Sharma ◽  
Indrajit Chakrabarti ◽  
Arindam Basu ◽  
Mrigank Sharad

The method to map the neural signals to the neuron from which it originates is spike sorting. A low-power spike sorting system is presented for a neural implant device. The spike sorter constitutes a two-step trainer module that is shared by the signal acquisition channel associated with multiple electrodes. A low-power Spiking Neural Network (SNN) module is responsible for assigning the spike class. The two-step shared supervised on-chip training module is presented for improved training accuracy for the SNN. Post implant, the relatively power-hungry training module can be activated conditionally based on a statistics-driven retraining algorithm that allows on the fly training and adaptation. A low-power analog implementation for the SNN classifier is proposed based on resistive crossbar memory exploiting its approximate computing nature. Owing to the direct mapping of SNN functionality using physical characteristics of devices, the analog mode implementation can achieve ∼21 × lower power than its fully digital counterpart. We also incorporate the effect of device variation in the training process to suppress the impact of inevitable inaccuracies in such resistive crossbar devices on the classification accuracy. A variation-aware, digitally calibrated analog front-end is also presented, which consumes less than ∼50 nW power and interfaces with the digital training module as well as the analog SNN spike sorting module. Hence, the proposed scheme is a low-power, variation-tolerant, adaptive, digitally trained, all-analog spike sorter device, applicable to implantable and wearable multichannel brain-machine interfaces.


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