Where is the error? Hierarchical predictive coding through dendritic error computation
2023-01 | journal article; overview. A publication with affiliation to the University of Göttingen.
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- Authors
- Mikulasch, Fabian A.; Rudelt, Lucas; Wibral, Michael; Priesemann, Viola
- Abstract
- Top-down feedback in cortex is critical for guiding sensory processing, which has prominently been formalized in the theory of hierarchical predictive coding (hPC). However, experimental evidence for error units, which are central to the theory, is inconclusive and it remains unclear how hPC can be implemented with spiking neurons. To address this, we connect hPC to existing work on efficient coding in balanced networks with lateral inhibition and predictive computation at apical dendrites. Together, this work points to an efficient implementation of hPC with spiking neurons, where prediction errors are computed not in separate units, but locally in dendritic compartments. We then discuss the correspondence of this model to experimentally observed connectivity patterns, plasticity, and dynamics in cortex.
- Issue Date
- January-2023
- Journal
- Trends in Neurosciences
- Project
- SFB 1286: Quantitative Synaptologie
SFB 1286 | C09: Zusammenhang zwischen dem präsynaptischen Vesikelzyklus und der Informationsverarbeitungsfunktion der synaptischen Plastizität
SFB 1528: Kognition der Interaktion - Organization
- Max-Planck-Institut für Dynamik und Selbstorganisation ; Georg-August-Universität Göttingen ; Bernstein Center for Computational Neuroscience Göttingen ; Campus Institut für Dynamik biologischer Netzwerke
- Working Group
- RG Priesemann (Physics, Complex Systems & Neural Networks)
- ISSN
- 0166-2236
- Language
- English
- Sponsor
- http://dx.doi.org/10.13039/501100001659 Deutsche Forschungsgemeinschaft
http://dx.doi.org/10.13039/501100004189 Max-Planck-Gesellschaft