Alpha phase-coding supports feature binding during working memory maintenance
Mattia F. PagnottaiD, Aniol Santo-AnglesiD, Ainsley Temudo, João BarbosaiD, Albert CompteiD, Mark D’EspositoiD, Kartik K. SreenivasaniD
Abstract
The ability to successfully retain and manipulate information in working memory (WM) requires that objects individual features are bound into cohesive representations; yet, the mechanisms supporting feature binding remain unclear. Binding (or swap) errors, where memorized features are erroneously associated with the wrong object, can provide a window into the intrinsic limits in capacity of WM that represent a key bottleneck in our cognitive ability. We tested the hypothesis that binding in WM is accomplished via neural phase synchrony and that swap errors result from perturbations in this synchrony. Using magnetoencephalography data collected from human subjects in a task designed to induce swap errors, we showed that swaps are characterized by reduced phase-locked oscillatory activity during memory retention, as predicted by an attractor model of spiking neural networks. Further, we found that this reduction arises from increased phase coding variability in the alpha-band over a distributed network of sensorimotor areas. Our findings demonstrate that feature binding in WM is accomplished through phase coding dynamics that emerge from the competition between different memories. SignificanceWe investigate the neural basis of working memory, focusing on how feature binding is accomplished and how binding or swap errors arise. Using magnetoencephalography, we found that stable phase-locking of alpha oscillations supports correct feature binding, while swap errors correlate with reduced alpha phase preservation, localized to specific brain areas. These findings align with a biologically-plausible computational model predicting that temporal synchrony in neuronal firing underpins feature binding. This work advances our understanding of the neural mechanisms of working memory, providing empirical support for theories of time-based binding and demonstrating the utility of biophysically-realistic models in human neuroimaging studies.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 2
- FWCI
- 0.00
- Field percentile
- 0th percentile
- Organism
- Assay
- Approach
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
- Across-area synchronization supports feature integration in working memory
João Barbosa, Vahan Babushkin, … Albert Compte·Frontiers in Neural CircuitsPeer-reviewed·Sep 20, 2021
- Oscillations in working memory and neural binding: a mechanism for multiple memories and their interactions
Jason E. Pina, Mark Bodner, Bard Ermentrout·PLoS Computational BiologyPeer-reviewed·Nov 12, 2018
- Low-frequency phase temporally coordinates multiple working memory operations
Yun Ding, Paul J. Cavanah, Ian C. Fiebelkorn·bioRxiv·May 2, 2026
- Differential representations of spatial location by aperiodic and alpha oscillatory activity in working memory
Andrew Bender, Chong Zhao, … Bradley Voytek·Proceedings of the National Academy of SciencesPeer-reviewed·Jul 24, 2025
- Disentangling the roles of neocortical alpha/beta and hippocampal theta/gamma oscillations in human episodic memory formation
Benjamin James Griffiths, María Carmen Martín-Buro, … Simon Hanslmayr·NeuroImagePeer-reviewed·Aug 4, 2021
- Neural synchrony between prefrontal and visual cortex supports visual working memory
Mrugank Dake, Sangita Dandekar, Clayton E. Curtis·bioRxiv·Jun 7, 2026