17699756. NEUROMORPHIC MEMORY CIRCUIT AND OPERATING METHOD THEROF simplified abstract (Samsung Electronics Co., Ltd.)

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NEUROMORPHIC MEMORY CIRCUIT AND OPERATING METHOD THEROF

Organization Name

Samsung Electronics Co., Ltd.

Inventor(s)

Sangbum Kim of Seoul (KR)

Uicheol Shin of Seoul (KR)

Suyeon Jang of Seoul (KR)

NEUROMORPHIC MEMORY CIRCUIT AND OPERATING METHOD THEROF - A simplified explanation of the abstract

This abstract first appeared for US patent application 17699756 titled 'NEUROMORPHIC MEMORY CIRCUIT AND OPERATING METHOD THEROF

Simplified Explanation

The abstract describes a neuromorphic memory circuit that consists of multiple memory cells. Each memory cell includes a switching element with a threshold switching time determined by the applied voltage. The switching element outputs the input signal after the threshold switching time has elapsed. Additionally, there is a resistive memory element connected to the switching element to divide the applied voltage, and a synapse circuit that generates an output signal in response to the input signal delayed by the threshold switching time.

  • The memory circuit is designed to mimic the behavior of neurons in the brain.
  • Each memory cell has a switching element that responds to the applied voltage and outputs the input signal after a specific time.
  • The voltage applied to the switching element is divided by a resistive memory element.
  • The synapse circuit generates an output signal based on the delayed input signal.

Potential Applications

  • Artificial intelligence and machine learning systems
  • Neuromorphic computing
  • Brain-inspired computing architectures

Problems Solved

  • Traditional memory circuits may not be efficient in mimicking the behavior of neurons.
  • The neuromorphic memory circuit provides a more realistic and efficient way to process and store information.

Benefits

  • Improved performance and efficiency in neuromorphic computing systems.
  • Better replication of brain-like behavior in artificial intelligence systems.
  • Potential for more advanced and intelligent computing applications.


Original Abstract Submitted

A neuromorphic memory circuit includes a plurality of memory cells, and each of the plurality of memory cells includes a first switching element having a threshold switching time determined based on a voltage applied to both ends of the first switching element at a time of receiving an input signal, and outputting the input signal in response to an elapse of the threshold switching time from a point in time at which the input signal is received; a first resistive memory element connected to the first switching element to divide the voltage applied to both ends of the first switching element; and a synapse circuit to generate an output signal in response to the input signal delayed by the threshold switching time.