Pages that link to "Item:Q2179090"
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The following pages link to A new approach to optimal control of conductance-based spiking neurons (Q2179090):
Displaying 16 items.
- Event-based minimum-time control of oscillatory neuron models (Q309496) (← links)
- Time optimal control of spiking neurons (Q455724) (← links)
- Minimal time spiking in various ChR2-controlled neuron models (Q681653) (← links)
- Charge-balanced spike timing control for phase models of spiking neurons (Q708953) (← links)
- A new algorithm for voltage clamp by iteration: A learning control of a nonlinear neuronal system (Q1062936) (← links)
- Adaptive feedback control for synchronization of chaotic neural systems with parameter mismatches (Q1632864) (← links)
- Observer-based fuzzy control for memristive circuit systems (Q1632908) (← links)
- Switching neuronal state: optimal stimuli revealed using a stochastically-seeded gradient algorithm (Q1732613) (← links)
- Active disturbance rejection synchronization of Morris-Lecar neurons (Q1785189) (← links)
- Tailoring inputs to achieve maximal neuronal firing (Q1941934) (← links)
- Minimum energy control for a two-compartment neuron to extracellular electric fields (Q2200267) (← links)
- Control of sampling rate in map-based models of spiking neurons (Q2207863) (← links)
- Constrained charge-balanced minimum-power controls for spiking neuron oscillators (Q2258168) (← links)
- Iterative learning control algorithm for spiking behavior of neuron model (Q2789601) (← links)
- A Unified Approach to Building and Controlling Spiking Attractor Networks (Q4678373) (← links)
- Design of Charge-Balanced Time-Optimal Stimuli for Spiking Neuron Oscillators (Q5175492) (← links)
