cusped-singularity-mmo-analysis

name	cusped-singularity-mmo-analysis
description	Geometric singular perturbation analysis of mixed-mode oscillations (MMOs) in inhibitory neural networks using cusped singularities. Activation triggers: mixed-mode oscillations, MMO, cusped singularity, slow-fast neural system, mutual inhibition oscillation, singular perturbation neural, blow-up method neural, neural oscillation mechanism, slow-fast system analysis.

Cusped Singularity Mixed-Mode Oscillation Analysis

Geometric singular perturbation theory establishing cusped singularities as universal organizing mechanism for mixed-mode oscillations in mutually inhibitory neural networks.

Metadata

• Source: arXiv:2605.03606
• Authors: Morten Gram Pedersen
• Published: 2026-05-05
• Subjects: Dynamical Systems (math.DS), Neurons and Cognition (q-bio.NC)

Core Methodology

Key Innovation

Cusped singularities — folded singularities located at cusp points of critical manifolds — provide a universal organizing mechanism for mixed-mode oscillations (MMOs) in coupled slow-fast systems with mutual inhibition. This is distinct from standard saddle-node induced MMOs and yields distinctive alternating oscillation patterns.

Technical Framework

1. Geometric Setup: Mutually inhibitory slow-fast systems generically satisfy conditions for geometric singular perturbation theory (GSPT) and blow-up methods
2. Cusped Singularity → SAOs: Geometric presence guarantees small-amplitude oscillations (SAOs) as system passes near the cusp
3. Singular Hopf Connection: Cusped singularity is strictly related to nearby singular Hopf bifurcation — full-system saddle-focus
4. SAO + Return → MMO: Small-amplitude oscillations combine with return mechanism to produce full MMOs
5. Alternating Pattern: Spiraling away from saddle-focus creates distinctive alternating patterns, contrasting with standard saddle-node MMOs

Analysis Steps

1. Identify the critical manifold and its fold/cusp structure
2. Locate cusped singularities on the critical manifold
3. Apply blow-up method to resolve dynamics near the cusp
4. Verify GSPT conditions hold for the specific system
5. Analyze singular Hopf bifurcation near the cusp
6. Construct return mechanism connecting SAOs to large-amplitude oscillations
7. Validate with specific neuronal models (Curtu rate model, Morris-Lecar with synaptic inhibition)

Applications

• Analyzing complex oscillatory patterns in mutually inhibitory neural circuits
• Understanding neural rhythm generation mechanisms
• Predicting oscillation transitions in inhibitory network models
• Distinguishing cusped-singularity MMOs from saddle-node induced MMOs
• General slow-fast inhibitory system analysis

Pitfalls

• Requires expertise in geometric singular perturbation theory and blow-up methods
• Applicable only to systems with mutual inhibition motif
• Mathematical analysis is non-trivial — requires careful manifold analysis
• Numerical validation may be needed for specific parameter regimes

Related Skills

• attractor-metadynamics-neural
• kuramoto-brain-network
• spiking-oscillation-mapping
• neural-dynamics-universal-translator