bioRxivNeurosciencePreprint
Hebb's Vision: The Structural Underpinnings of Hebbian Assemblies
Julian Wagner-CarenaiD, S KateiD, T Riordan, Reza Abbasi-AsliD, J Aman, Adam AmsteriD, AL BodoriD, Derrick BrittainiD, JoAnn BuchananiD, Michael A. BuiceiD, Daniel J. BumbargeriD, Forrest CollmaniD, Nuno Maçarico da CostaiD, Daniel J. DenmaniD, Saskia E. J. de VriesiD, Emily JoyceiD, Daniel Kapner, Chase W. KingiD, JD Larkin, Jérôme A. LecoqiD, Gayathri MahalingamiD, Daniel J. MillmaniD, Jan MölteriD, C Morrison, R. Clay ReidiD, , Stefan BerteauiD
Abstract
1In 1949, Donald Hebb proposed that groups of neurons that activate stereotypically form the organizational building blocks of perception, cognition, and behavior. Finding the structural underpinning of such assemblies has been technically challenging, due to a lack of large-scale structure-activity maps. Here, we analyze this relation using a novel dataset that links in vivo optical physiology to connectivity using postmortem elec-tron microscopy (EM). From the fluorescence traces, we extract neural assemblies from higher-order correlations in neural activity. Physiologically, we show that these assemblies exhibit properties consistent with Hebbs theory, including more reliable responses to repeated natural movie inputs than size-matched random ensembles and superior decoding of visual stimuli. Structurally, we find that neurons that participate in assemblies are significantly more integrated into the structural network than those that do not. Contrary to Hebbs original prediction, we do not observe a marked increase in the strength of monosynaptic excitatory connections between cells participating in the same assembly. However, we find significantly stronger indirect feed-forward inhibitory connections targeting cells in other assemblies. These results show that assemblies can be useful components of perception, and, surprisingly, they are delineated by mutual inhibition.
- organism: mouse
- assay: spatial transcriptomics
- research focus: cell type annotation
- approach: statistical model
- Citations
- 1
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Cortical cell assemblies and their underlying connectivity: an in silico study
András Ecker, Daniela Egas Santander, … Michael Reimann·bioRxiv·Feb 24, 2023
- Brain computation by assemblies of neurons
Christos H. Papadimitriou, Santosh Vempala, … Wolfgang Maass·Proceedings of the National Academy of SciencesPeer-reviewed·Jun 9, 2020
- Inhibitory neurons control the consolidation of neural assemblies via adaptation to selective stimuli
Raphaël Bergoin, Alessandro Torcini, … Gorka Zamora‐López·Scientific ReportsPeer-reviewed·Apr 28, 2023
- Excitatory-inhibitory balance modulates the formation and dynamics of neuronal assemblies in cortical networks
Sadra Sadeh, Claudia Clopath A·Science AdvancesPeer-reviewed·Nov 3, 2021
- Computational functions of precisely balanced neuronal assemblies in an olfactory memory network
Claire Meissner-Bernard, Bethan Jenkins, … Thomas Frank·Cell ReportsPeer-reviewed·Feb 20, 2025
- Homeostatic Plasticity Enables Stable, Flexible, and Tunable Assemblies
Michelle Miller, Christoph Miehl, Brent Doiron·bioRxiv·Jun 22, 2026