Context-Sensitive Processing in a Model Neocortical Pyramidal Cell With Two Sites of Input Integration.

Area of Science:

• Neuroscience
• Computational Neuroscience

Background:

• Neocortical layer 5 thick-tufted pyramidal cells exhibit burst firing in response to coincident basal and apical dendritic inputs.
• Basal inputs originate from sensory pathways, while apical inputs provide contextual information within the cortical hierarchy.

Purpose of the Study:

• To explore information processing capabilities of burst firing in pyramidal cells using computational models.
• To quantify the contributions of basal and apical inputs to burst firing probability using partial information decomposition (PID).

Main Methods:

• Computer simulations of a noisy compartmental cell model.
• Estimation of burst firing probability based on simulated stochastic firing.
• Application of information-theory-based partial information decomposition (PID) to analyze input stream contributions.

Main Results:

• Four distinct operating regimes of information processing were identified based on the relative strengths of basal and apical inputs.
• Transfer functions were derived to describe burst probability across different input amplitudes.
• The 'apical amplification' mode was highlighted for its suitability for contextually modulated information processing.

Conclusions:

• Pyramidal cell burst firing exhibits diverse information processing modes, including cooperation, amplification, drive, and integration.
• Partial information decomposition and transfer functions elucidate the roles of different input streams in modulating burst probability.
• The apical amplification mode is crucial for integrating contextual information for enhanced neural processing.