Neuromorphic System Bias Current Switching

The patent applies parameter changes by dynamically adjusting the bias current injected into each neuron to switch between different functional operations. Instead of reconfiguring connection strengths or adding hardware components, the system changes the operational parameters (bias current levels) to transition between high-activity, middle-activity, and low-activity states, enabling the same neural network to perform multiple functions with constant memory and power consumption.

The patent implements universality by designing a single neural network that can perform multiple functional operations through dynamic bias current control. The same physical hardware (neurons, synapses, and connections) is used for different functions by simply adjusting the bias current parameters, eliminating the need for separate circuits or reconfigurable components for each function.

The patent replaces the conventional von Neumann architecture with a neuromorphic system that uses continuous analog signals and parallel processing. Instead of discrete digital operations with sequential data movement between memory and processor, the system uses continuous membrane potential changes and simultaneous neural computations, achieving real-time processing while maintaining stability through the inherent robustness of neural network operations.