Neuromorphic MAC Circuit Using Resistor-Capacitor Summation

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Solution Overview

Problem

Existing neural network processing methods are inefficient in terms of power consumption and reliability, particularly in performing multiply-accumulate (MAC) operations.

Innovation Solution

A neuromorphic device with serially connected resistors, capacitors, and current sources, along with switches and voltage meters, that perform MAC operations in an analog domain, utilizing variable resistors and capacitors to measure voltage differences for efficient multiplication and addition calculations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Use of energy by moving object

If digital computer methods are used to perform neural network processing, then computational flexibility is maintained, but power consumption increases and processing efficiency decreases

Engineering Contradiction:
Improvepower consumptionVSAvoidprocessing efficiency
Core Design Contradiction:
Use of energy by moving objectVSProductivity

Solution Approach 1:

The patent replaces digital computational systems with an analog neuromorphic device that directly performs MAC operations using physical electrical components. The resistor array performs multiplication through voltage division, while capacitors perform accumulation through charge storage, eliminating the need for sequential digital computation and significantly reducing power consumption while improving processing efficiency.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent changes the computational paradigm from digital to analog by utilizing continuous electrical parameters (voltage, current, charge) to represent and process neural network data. This parameter transformation enables parallel MAC operations where multiple multiplications and additions occur simultaneously through physical electrical laws, rather than sequential digital operations.

Inventive Principle:
Principle #35Parameter changes

2Use of energy by moving object

If analog operations are implemented in neuromorphic devices, then power efficiency improves, but reliability deteriorates due to noise and precision issues

Engineering Contradiction:
Improvepower efficiencyVSAvoidoperation reliability
Core Design Contradiction:
Use of energy by moving objectVSReliability

Solution Approach 1:

The patent merges multiple analog operations (multiplication and accumulation) into a single integrated circuit structure where resistor arrays and capacitor arrays work together. This integration allows the system to perform MAC operations in one unified analog process, improving power efficiency while the combined structure provides inherent noise tolerance through distributed computation across multiple components.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent uses multiple identical resistor-capacitor units that can be replicated to form larger arrays. Each unit copies the same operational pattern, and through parallel replication, the system achieves both power efficiency (analog operation) and improved reliability (distributed computation where individual unit failures do not compromise the entire system).

Inventive Principle:
Principle #26Copying

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

Enhances the reliability and power efficiency of neural network processing by accurately calculating the sum of multiplications of inputs and weights through voltage measurements, reducing power consumption and improving computational efficiency.

Implementation Method 1

a first capacitor configured to be electrically connected to the first resistor line, and a second capacitor configured to be electrically connected to the second resistor line

Methodology Applied
Scientific EffectCapacitance: Capacitance

Implementation Method 2

one or more current sources configured to control a current flowing in each of the first resistor line and the second resistor line to a respective current value

Methodology Applied
Scientific EffectElectrical Resistance: Electrical Resistance

Implementation Method 3

a voltage meter configured to measure a voltage difference between both terminals of each of the first and second capacitors

Methodology Applied
Scientific EffectVoltage measurement: Ohm's Law

Data Source

PatentUS20260037223A1Neuromorphic device and driving method thereof
Publication Date: 2026.02.05 SAMSUNG ELECTRONICS CO LTD
  • US20260037223A1 patent drawing
  • US20260037223A1 patent drawing
  • US20260037223A1 patent drawing

AI summary

A neuromorphic device includes a plurality of resistor lines, each comprising a plurality of resistors that are serially connected to each other; one or more current sources configured to control a current flowing in each of the resistor lines to a respective current value; a plurality of capacitors configured to be electrically connected to each of the resistor lines and to sample respective voltage of each of the resistor lines representing results of neuromorphic operations; and a switch configured to connect the plurality of the capacitors in parallel after the sampling the respective voltage of each of the resistor lines, to output a sum of the results of neuromorphic operations.