Nec corporation (20240256826). DESIGN METHOD AND RECORDING MEDIUM simplified abstract

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DESIGN METHOD AND RECORDING MEDIUM

Organization Name

nec corporation

Inventor(s)

Yusuke Sakemi of Tokyo (JP)

DESIGN METHOD AND RECORDING MEDIUM - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240256826 titled 'DESIGN METHOD AND RECORDING MEDIUM

Simplified Explanation: The design method in the patent application involves determining various parameters related to a neural network model, such as firing time increments, current value outputs, firing threshold voltages, and capacitance values.

Key Features and Innovation:

  • Determining parameters for a spike generator and synapse circuit to optimize neural network simulations.
  • Ensuring the product of firing time and weighting increments in the mathematical model matches specific values based on other circuit parameters.

Potential Applications: This technology can be applied in the development of advanced neural network models for various fields such as artificial intelligence, robotics, and neuroscience research.

Problems Solved:

  • Optimizing the performance of neural network simulations by fine-tuning key parameters.
  • Enhancing the accuracy and efficiency of neural network modeling through precise parameter adjustments.

Benefits:

  • Improved accuracy and reliability in neural network simulations.
  • Enhanced performance and scalability of neural network models.
  • Facilitating the development of more advanced artificial intelligence systems.

Commercial Applications: The technology can be utilized in industries such as autonomous vehicles, medical diagnostics, and natural language processing to enhance the capabilities of AI systems and improve decision-making processes.

Questions about Neural Network Model Optimization: 1. How does the optimization of firing time increments and current value outputs impact the overall performance of neural network simulations? 2. What are the potential implications of fine-tuning parameters in a neural network model for real-world applications?

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Original Abstract Submitted

a design method includes determining at least one of a firing time increment of a spike generator, the minimum increment of a current value output by a synapse circuit, a firing threshold voltage of the spike generator, the capacitance of a capacitor that simulates a membrane potential, the firing time increment of a mathematical model, and the weighting increment of the mathematical model such that the product of the firing time increment of the mathematical model and the weighting increment of the mathematical model is equal to a value obtained by dividing the product of the firing time increment of the spike generator and the minimum increment of the current value output by the synapse circuit by the product of the firing threshold voltage of the spike generator and the capacitance of the capacitor.