Apical length governs computational diversity of L5 pyramidal neurons
Abstract
Anatomical similarity across the neocortex has led to the common assumption that the circuitry is modular and performs stereotyped computations. Layer 5 pyramidal neurons (L5PNs) in particular are thought to be central to cortical computation because of their extensive arborisation and nonlinear dendritic operations. Here, we demonstrate that computations associated with dendritic Ca2+ plateaus in L5PNs vary substantially between the primary and secondary visual cortices. L5PNs in the secondary visual cortex show reduced dendritic excitability and smaller propensity for burst firing. This reduced excitability is correlated with shorter apical dendrites. Using numerical modelling, we uncover a universal principle underlying the influence of apical length on dendritic backpropagation and excitability, based on a Na+ channel-dependent broadening of backpropagating action potentials. In summary, we provide new insights into the modulation of dendritic excitability by apical dendrite length and show that the operational repertoire of L5 neurons is not universal throughout the brain.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 27
- FWCI
- 2.18
- Field percentile
- top 13%
- Organism
- Assay
- Research Focus
- 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
- Dendritic spikes in apical oblique dendrites of cortical layer 5 pyramidal neurons
Michael Lawrence G. Castañares, Greg J. Stuart, Vincent R. Daria·bioRxiv·Aug 15, 2020
- A causal spatial role for apical dendrites in the cortex
Anyi Liu, Kenneth D Harris, … Luigi Federico Rossi·bioRxiv·Jul 28, 2026
- Dendritic excitations primarily mediate back-propagation in CA1 pyramidal neurons during behavior
Byung Hun Lee, Pojeong Park, … Adam E. Cohen·bioRxiv·Jan 3, 2026
- Interpretable modelling of input-output computations in cortex
Arco Bast, Rieke Fruengel, … Marcel Oberlaender·PLoS Computational BiologyPeer-reviewed·Apr 16, 2024
- Dendritic excitations govern back-propagation via a spike-rate accelerometer
Pojeong Park, J. David Wong-Campos, … Adam E. Cohen·Nature CommunicationsPeer-reviewed·Feb 4, 2025
- Burst Control
Eilam Goldenberg Leleo, Idan Segev·bioRxiv·Feb 13, 2021