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Hebb's Vision: The Structural Underpinnings of Hebbian Assemblies
J Wagner-Carena1,2,3, S Kate1,4, T Riordan1
1Allen Institute, Seattle, WA, USA.
Biorxiv : the Preprint Server for Biology
|July 15, 2025
Summary
Neural assemblies, groups of neurons, form perception building blocks. Surprisingly, these networks are defined by mutual inhibition, not just direct excitation.
Area of Science:
- Neuroscience
- Systems Neuroscience
- Computational Neuroscience
Background:
- Donald Hebb proposed neuronal assemblies as fundamental units of perception and cognition in 1949.
- Identifying the structural basis of these assemblies has been limited by the lack of large-scale structure-activity maps.
Purpose of the Study:
- To investigate the relationship between neural activity patterns and underlying neural network structure.
- To test Hebb's theory of neuronal assemblies using novel integrated physiological and structural data.
Main Methods:
- Analysis of a novel dataset linking in vivo optical physiology with postmortem electron microscopy (EM) connectivity.
- Extraction of neural assemblies from fluorescence traces using higher-order correlations in neural activity.
- Comparison of assembly properties with size-matched random neuronal ensembles.
Main Results:
- Neural assemblies showed more reliable responses to natural stimuli and superior visual stimulus decoding compared to random ensembles.
- Neurons within assemblies were significantly more integrated into the overall structural network.
- Contrary to predictions, direct excitatory connections within assemblies were not strengthened; instead, indirect feed-forward inhibition between assemblies was significantly stronger.
Conclusions:
- Neural assemblies are functional components of perception and cognition.
- The structural organization of assemblies is characterized by mutual inhibition between different assemblies, challenging previous assumptions.
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