ReviewCommunicative & integrative biology2021
Behaviorist approaches to investigating memory and learning: A primer for synthetic biology and bioengineering.
Review in Communicative & integrative biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
19 citing papers in PubMed, 44 citations in OpenAlex.
- Mind Everywhere: A Framework for Conceptualizing Goal-Directedness in Biology and Other Domains-Part Two.Biological theory · 2026Article
- Improving governance in the age of synthetic biology, artificial intelligence, and diverging threats.Frontiers in bioengineering and biotechnology · 2026Article
- The Morphological, Behavioral, and Transcriptomic Life Cycle of Anthrobots.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Associative conditioning in gene regulatory network models increases integrative causal emergence.Communications biology · 2025Article
- The Multiscale Wisdom of the Body: Collective Intelligence as a Tractable Interface for Next-Generation Biomedicine.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025Review
- AI-driven automated discovery tools reveal diverse behavioral competencies of biological networks.eLife · 2025Article
- Life, its origin, and its distribution: a perspective from the Conway-Kochen Theorem and the Free Energy Principle.Communicative & integrative biology · 2025Review
- Robotic animals as new tools in rodent neuroscience research: proposed applications of zooinspired robots for mouse behavioral testing.Frontiers in behavioral neuroscience · 2025Article
- Programming the elongation of mammalian cell aggregates with synthetic gene circuits.bioRxiv : the preprint server for biology · 2024Article
- Collective intelligence: A unifying concept for integrating biology across scales and substrates.Communications biology · 2024Review
- Motile Living Biobots Self-Construct from Adult Human Somatic Progenitor Seed Cells.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Bioelectric networks: the cognitive glue enabling evolutionary scaling from physiology to mind.Animal cognition · 2023Review
- Future medicine: from molecular pathways to the collective intelligence of the body.Trends in molecular medicine · 2023Review
- Cellular signaling pathways as plastic, proto-cognitive systems: Implications for biomedicine.Patterns (New York, N.Y.) · 2023Review
- There's Plenty of Room Right Here: Biological Systems as Evolved, Overloaded, Multi-Scale Machines.Biomimetics (Basel, Switzerland) · 2023Article
- Functional bioengineered models of the central nervous system.Nature reviews bioengineering · 2023Review
- Learning in Transcriptional Network Models: Computational Discovery of Pathway-Level Memory and Effective Interventions.International journal of molecular sciences · 2022Article
- Some Characteristics and Arguments in Favor of a Science of Machine Behavior Analysis.Perspectives on behavior science · 2022Article
- Why the study of comparative psychology is important to neuroscientists.Frontiers in behavioral neuroscience · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.