Conditioned lever-press avoidance response in mice: acquisition processes and effects of diazepam

1983 ◽  
Vol 82 (1-2) ◽  
pp. 36-40 ◽  
Author(s):  
H. Kuribara ◽  
S. Tadokoro
1963 ◽  
Vol 13 (1) ◽  
pp. 43-45 ◽  
Author(s):  
Jack Pearl ◽  
Robert E. Edwards

To determine whether acquisition of an avoidance response with a trace conditioning procedure in the Skinner box could be facilitated by the use of long CS-US intervals, three groups of six rats each were trained at CS-US intervals of either 5, 20, or 60 sec. The CS was presented for 1 sec. unless it was ended beforehand by a lever press. The 5-sec. CS-US interval group made fewer avoidance responses and terminated the 1-sec. CS less often than each of the other groups. It was suggested that the differences in performance were due to initial differences in opportunity for making the appropriate response.


1971 ◽  
Vol 74 (1, Pt.1) ◽  
pp. 75-83 ◽  
Author(s):  
Candace J. Schulenburg ◽  
David C. Riccio ◽  
Edna R. Stikes

Author(s):  
A. V. Shvetsov ◽  
A. I. Vaido ◽  
N. A. Dyuzhikova ◽  
A. V. Belskaya ◽  
M. V. Mikhailova ◽  
...  

A study of the dynamics of preservation of the conditioned reflex of passive avoidance (passive avoidance response) in rats of two lines with different level of excitability of the nervous system was performed: with a high and low thresholds of excitability as normal and after exposure to sodium thiopental semi-lethal dose. It was shown that a long preservation of the memorable trace under standard conditions and a higher sensitivity to the sodium thiopental action manifest in rats with a high excitability threshold in comparison with low-excitable line of rats.


This book takes a fresh look at the land question in India. It goes beyond re-engagement in the rich transition debate by critically examining both theoretically and empirically the role of land in contemporary India. Springing from the political economy discourse surrounding the classic capitalist transition issue in agriculture in India, the book gravitates toward the development discourse that inevitably veers toward land and the role of the state in pushing a process of dispossession of peasants through direct expropriation for developmental purposes. Contemporary dispossession may look similar to the historical process of primitive accumulation that makes room for capitalist agriculture and expanded accumulation. But this volume shows that land in India is sought increasingly for non-agricultural purposes as well. These include risk mitigation by farmers, real estate development, infrastructure development by states often on behalf of business, and special economic zones. Tribal communities (advasis), who depend on land for their livelihoods and a moral economy that is independent of any price-driven markets, hold on to land for collective security. Thus land acquisition continues to be a turbulent arena in which classes, castes, and communities are in conflict with the state and capital, each jockeying to determine the terms and conditions of land transactions or their prevention, through both market and non-market mechanisms. The volume collectively addresses the role of the state involved in the process of dispossession of peasants and tribal communities. It provides new analytical insights into the land acquisition processes, their legal-institutional and ethical implications, and captures empirically the multifaceted regional diversity of the contestations surrounding the acquisition experiences in India.


2019 ◽  
Vol 47 (6) ◽  
pp. 618-630 ◽  
Author(s):  
Kjetil A. Van Der Wel ◽  
Olof Östergren ◽  
Olle Lundberg ◽  
Kaarina Korhonen ◽  
Pekka Martikainen ◽  
...  

Aims: Future research on health inequality relies on data that cover life-course exposure, different birth cohorts and variation in policy contexts. Nordic register data have long been celebrated as a ‘gold mine’ for research, and fulfil many of these criteria. However, access to and use of such data are hampered by a number of hurdles and bottlenecks. We present and discuss the experiences of an ongoing Nordic consortium from the process of acquiring register data on socio-economic conditions and health in Denmark, Finland, Norway and Sweden. Methods: We compare experiences of data-acquisition processes from a researcher’s perspective in the four countries and discuss the comparability of register data and the modes of collaboration available to researchers, given the prevailing ethical and legal restrictions. Results: The application processes we experienced were time-consuming, and decision structures were often fragmented. We found substantial variation between the countries in terms of processing times, costs and the administrative burden of the researcher. Concerned agencies differed in policy and practice which influenced both how and when data were delivered. These discrepancies present a challenge to comparative research. Conclusions: We conclude that there are few signs of harmonisation, as called for by previous policy documents and research papers. Ethical vetting needs to be centralised both within and between countries in order to improve data access. Institutional factors that seem to facilitate access to register data at the national level include single storage environments for health and social data, simplified ethical vetting and user guidance.


2021 ◽  
Vol 1 (1) ◽  
Author(s):  
E. Bertino ◽  
M. R. Jahanshahi ◽  
A. Singla ◽  
R.-T. Wu

AbstractThis paper addresses the problem of efficient and effective data collection and analytics for applications such as civil infrastructure monitoring and emergency management. Such problem requires the development of techniques by which data acquisition devices, such as IoT devices, can: (a) perform local analysis of collected data; and (b) based on the results of such analysis, autonomously decide further data acquisition. The ability to perform local analysis is critical in order to reduce the transmission costs and latency as the results of an analysis are usually smaller in size than the original data. As an example, in case of strict real-time requirements, the analysis results can be transmitted in real-time, whereas the actual collected data can be uploaded later on. The ability to autonomously decide about further data acquisition enhances scalability and reduces the need of real-time human involvement in data acquisition processes, especially in contexts with critical real-time requirements. The paper focuses on deep neural networks and discusses techniques for supporting transfer learning and pruning, so to reduce the times for training the networks and the size of the networks for deployment at IoT devices. We also discuss approaches based on machine learning reinforcement techniques enhancing the autonomy of IoT devices.


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