ReviewMolecular brain2020
Donald O. Hebb and the Organization of Behavior: 17 years in the writing.
Review in Molecular brain, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- On the molecular basis of enduring memory in neurons, and cell fate in fibroblasts.Nucleic acids research · 2026Review
- Reopening Motor Learning Windows: Targeted Re-Engagement of Latent Pathways via Non-Invasive Neuromodulation.Life (Basel, Switzerland) · 2026Review
- From multisensory integration to synaesthesia: a boundary-preserving continuum and research framework.Frontiers in psychology · 2026Article
- The influence of Cajal and Lorente de Nó on Donald O. Hebb's neuropsychological theory.Frontiers in neuroanatomy · 2026Article
- Active Rehabilitation Technologies for Post-Stroke Patients.Biosensors · 2025Review
- Phospholipase Modulation of Synaptic Membrane Landscape: Driving Force Behind Memory Formation?Cold Spring Harbor perspectives in biology · 2024Review
- Advances in fear memory erasure and its neural mechanisms.Frontiers in neurology · 2024Review
- New approaches to recovery after stroke.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024Review
- Criticality Analysis: Bio-Inspired Nonlinear Data Representation.Entropy (Basel, Switzerland) · 2023Article
- Article
- Effects of paired associative magnetic stimulation between nerve root and cortex on motor function of lower limbs after spinal cord injury: study protocol for a randomized controlled trial.Neural regeneration research · 2022Article
- Translational neuronal ensembles: Neuronal microcircuits in psychology, physiology, pharmacology and pathology.Frontiers in systems neuroscience · 2022Review
- The Continuity of Context: A Role for the Hippocampus.Trends in cognitive sciences · 2021Review
- The Hebb Synapse Before Hebb: Theories of Synaptic Function in Learning and Memory Before , With a Discussion of the Long-Lost Synaptic Theory of William McDougall.Frontiers in behavioral neuroscience · 2021Review
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Organization of Behavior has played a significant part in the development of behavioural neuroscience for the last 70 years. This book introduced the concepts of the "Hebb synapse", the "Hebbian cell assembly" and the "Phase sequence". The most frequently cited of these is the Hebb synapse, but the cell assembly may be Hebb's most important contribution. Even after 70 years, Hebb's theory is still relevant because it is a general framework for relating behavior to synaptic organization through the development of neural networks. The Organization of Behavior was Hebb's 40th publication. His first published papers in 1937 were on the innate organization of the visual system and he first used the phrase "the organization of behavior" in 1938. However, Hebb wrote a number of unpublished papers between 1932 and 1945 in which he developed the ideas published in The Organization of Behavior. Thus, the concept of the neural organization of behavior was central to Hebb's thinking from the beginning of his academic career. But his thinking about the organization of behavior in 1949 was different from what it was between 1932 and 1937. This paper examines Hebb's early ideas on the neural basis of behavior and attempts to trace the rather arduous series of steps through which he developed these ideas into the book that was published as The Organization of Behavior. Using the 1946 typescript and Hebb's correspondence we can see a number of changes made in the book before it was published. Finally, a number of issues arising from the book, and the importance of the book today are discussed.
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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.