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高级行为筛查:自动笼内行为学

Advanced behavioural screening: automated home cage ethology.

作者信息

Spruijt Berry M, DeVisser Leonie

机构信息

Rudolf Magnus Institute of Neurosciences, UMC Utrecht, The Netherlands.

Rudolf Magnus Institute of Neurosciences, UMC Utrecht, The Netherlands.

出版信息

Drug Discov Today Technol. 2006 Summer;3(2):231-7. doi: 10.1016/j.ddtec.2006.06.010.

Abstract

Animal behaviour has been studied using two approaches, (1) well-controlled experiments focusing on specific responses and (2) those with natural - fuzzy - but biologically relevant conditions. Ideally, one behavioural test should be able to address both. The home cage provided with various stimuli is proposed as an all-in-one possibility. This, however, results in an exponential increase in complexity regarding observation and analysis tools. It seems difficult to accept that behavioural expressions need a mathematical approach to unravel its organisation and meaning. Developments in artificial intelligence and data mining are essential to accelerate this necessary evolution in behavioural sciences.:

摘要

动物行为学研究采用了两种方法

(1)侧重于特定反应的严格控制实验;(2)在自然但模糊且具有生物学相关性的条件下进行的实验。理想情况下,一项行为测试应能兼顾两者。配备各种刺激物的饲养笼被认为是一种一体化的解决方案。然而,这会导致观察和分析工具的复杂性呈指数级增长。似乎很难接受行为表达需要用数学方法来揭示其组织和意义。人工智能和数据挖掘的发展对于加速行为科学这一必要的发展进程至关重要。

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