SRAM Synapse Array Using Sub-threshold Leakage Current
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Solution Overview
Problem
Current neuromorphic systems face challenges in high integration and low power consumption due to increased leakage current from semiconductor components, leading to continuous firings without external stimulation, which is inefficient and power-intensive.
Innovation Solution
A neuromorphic system utilizing a SRAM-based synapse array with bias and cut-off transistors that leverage sub-threshold leakage current to charge membrane nodes and control synaptic weights, combined with a pulse shaper circuit and STDP logic to manage synaptic plasticity, reducing leakage power consumption and enabling efficient data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If conventional neuromorphic circuits are used, then data processing capability is achieved, but leakage current increases causing continuous firings and high power consumption
Solution Approach 1:
The patent converts the harmful sub-threshold leakage current into a beneficial charging mechanism for the membrane node. The leakage current that would normally cause continuous unwanted firings is instead harnessed to charge the membrane node in a controlled manner, reducing overall power consumption while maintaining reliable neuron firing behavior only when appropriate.
2Productivity
If more synapse circuits are integrated, then data processing capability increases, but leakage current and power consumption increase
Solution Approach 1:
The patent changes the operating parameters of the synapse circuits by utilizing sub-threshold leakage current operations. This allows the circuits to function at lower current levels, enabling higher integration of synapse circuits without proportionally increasing leakage power consumption, thus improving data processing capability while controlling energy loss.
3Loss of energy
If sub-threshold leakage current is used to charge membrane nodes, then power consumption decreases, but control precision over synaptic weights may be affected
Solution Approach 1:
The patent introduces a specialized synapse circuit design with specific transistor configurations (including cut-off transistors and bias transistors) that act as intermediaries between the sub-threshold leakage current and the membrane node. This intermediary structure enables precise control of synaptic weights even while operating with low-level leakage current, maintaining control precision while reducing power consumption.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system achieves high integration and low power consumption by minimizing leakage current, maintaining a firing rate similar to biological neurons, and efficiently updating synaptic weights based on spike timing, thus enhancing the neuromorphic system's adaptability and efficiency.
Implementation Method 1
the at least one synapse circuit is configured to charge a membrane node of a neuron circuit connected with the at least one synapse circuit using a sub-threshold leakage current that passed through the at least one bias transistor
Implementation Method 2
The at least one synapse circuit may be configured to change a value of the SRAM using a leakage current that passed through the at least two cut-off transistors
Data Source
AI summary
A synapse array based on a static random access memory (SRAM), a pulse shaper circuit, and a neuromorphic system are provided. The synapse array includes a plurality of synapse circuits. At least one synapse circuit among the plurality of synapse circuits includes at least one bias transistor and at least two cut-off transistors, and the at least one synapse circuit is configured to charge a membrane node of a neuron circuit connected with the at least one synapse circuit using a sub-threshold leakage current that passed through the at least one bias transistor.


