Behaviorist approaches to investigating memory and learning: A primer for synthetic biology and bioengineering.

Q2 Agricultural and Biological Sciences Communicative and Integrative Biology Pub Date : 2021-12-14 eCollection Date: 2021-01-01 DOI:10.1080/19420889.2021.2005863
Charles I Abramson, Michael Levin
{"title":"Behaviorist approaches to investigating memory and learning: A primer for synthetic biology and bioengineering.","authors":"Charles I Abramson,&nbsp;Michael Levin","doi":"10.1080/19420889.2021.2005863","DOIUrl":null,"url":null,"abstract":"<p><p>The fields of developmental biology, biomedicine, and artificial life are being revolutionized by advances in synthetic morphology. The next phase of synthetic biology and bioengineering is resulting in the construction of novel organisms (biobots), which exhibit not only morphogenesis and physiology but functional behavior. It is now essential to begin to characterize the behavioral capacity of novel living constructs in terms of their ability to make decisions, form memories, learn from experience, and anticipate future stimuli. These synthetic organisms are highly diverse, and often do not resemble familiar model systems used in behavioral science. Thus, they represent an important context in which to begin to unify and standardize vocabulary and techniques across developmental biology, behavioral ecology, and neuroscience. To facilitate the study of behavior in novel living systems, we present a primer on techniques from the behaviorist tradition that can be used to probe the functions of any organism - natural, chimeric, or synthetic - regardless of the details of their construction or origin. These techniques provide a rich toolkit for advancing the fields of synthetic bioengineering, evolutionary developmental biology, basal cognition, exobiology, and robotics.</p>","PeriodicalId":39647,"journal":{"name":"Communicative and Integrative Biology","volume":"14 1","pages":"230-247"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8677006/pdf/","citationCount":"17","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communicative and Integrative Biology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/19420889.2021.2005863","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"Agricultural and Biological Sciences","Score":null,"Total":0}
引用次数: 17

Abstract

The fields of developmental biology, biomedicine, and artificial life are being revolutionized by advances in synthetic morphology. The next phase of synthetic biology and bioengineering is resulting in the construction of novel organisms (biobots), which exhibit not only morphogenesis and physiology but functional behavior. It is now essential to begin to characterize the behavioral capacity of novel living constructs in terms of their ability to make decisions, form memories, learn from experience, and anticipate future stimuli. These synthetic organisms are highly diverse, and often do not resemble familiar model systems used in behavioral science. Thus, they represent an important context in which to begin to unify and standardize vocabulary and techniques across developmental biology, behavioral ecology, and neuroscience. To facilitate the study of behavior in novel living systems, we present a primer on techniques from the behaviorist tradition that can be used to probe the functions of any organism - natural, chimeric, or synthetic - regardless of the details of their construction or origin. These techniques provide a rich toolkit for advancing the fields of synthetic bioengineering, evolutionary developmental biology, basal cognition, exobiology, and robotics.

Abstract Image

Abstract Image

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
研究记忆和学习的行为主义方法:合成生物学和生物工程入门。
发育生物学、生物医学和人工生命领域正因合成形态学的进步而发生革命性的变化。合成生物学和生物工程的下一阶段将导致新型生物(生物机器人)的构建,这些生物不仅具有形态发生和生理特征,而且具有功能行为。现在有必要开始描述新的生活结构的行为能力,包括它们做出决定、形成记忆、从经验中学习和预测未来刺激的能力。这些合成生物是高度多样化的,通常不像行为科学中使用的熟悉的模型系统。因此,它们代表了一个重要的背景,在这个背景下,开始统一和标准化发育生物学、行为生态学和神经科学中的词汇和技术。为了促进对新型生命系统行为的研究,我们介绍了行为主义传统技术的入门,这些技术可用于探索任何生物的功能-自然的,嵌合的或合成的-无论其结构或起源的细节。这些技术为合成生物工程、进化发育生物学、基础认知学、外太空生物学和机器人技术等领域的发展提供了丰富的工具包。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Communicative and Integrative Biology
Communicative and Integrative Biology Agricultural and Biological Sciences-Agricultural and Biological Sciences (all)
CiteScore
3.50
自引率
0.00%
发文量
22
审稿时长
6 weeks
期刊最新文献
Extract from endophytic Fusarium isolates stimulates seed germination of the host and protocorm development of non-host orchids. Quorum sensing and antibiotic resistance in polymicrobial infections. Synergistic effect of nano-potassium and chitosan as stimulants inducing growth and yield of bird of paradise (Sterlitiza reginae L.) in newly lands. Hypersensitivity to man-made electromagnetic fields (EHS) correlates with immune responsivity to oxidative stress: a case report. Emergence of information processing in biological systems and the origin of life.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1