NEURON CIRCUIT WITH SYNAPTIC WEIGHT LEARNING

    公开(公告)号:US20230289582A1

    公开(公告)日:2023-09-14

    申请号:US18084234

    申请日:2022-12-19

    CPC classification number: G06N3/063 G06N3/049

    Abstract: A neuron circuit including a first internal circuit that receives a plurality of spike input signals, generates a first sum value by summing a plurality of synaptic weights corresponding to the plurality of spike input signals, and outputs a second sum value by adding a membrane potential value to the first sum value, a spike generating circuit that generates a spike output signal, a membrane potential generating circuit that generates the membrane potential value, a second internal circuit that counts a last spike time based on the spike output signal, and an online learning circuit that receives a last input time from the first internal circuit and performs LTP learning based on the last input time or receives the last spike time from the second internal circuit and performs LTD learning based on the last spike time.

    DEVICE AND METHOD FOR RECEIVING BIOSIGNAL

    公开(公告)号:US20230073663A1

    公开(公告)日:2023-03-09

    申请号:US17845681

    申请日:2022-06-21

    Abstract: Disclosed are a biosignal receiving device and a method thereof. The biosignal receiving device used in a communication system using a human body as a medium includes a receiving electrode unit including a plurality of receiving electrodes, an input selection unit including two MUXs for selecting one of the plurality of receiving electrodes, and that output biosignals received by the selected electrodes, a filter that removes noise included in the biosignals and output filtered signals from which the noise is removed, a differential amplifier that amplifies a difference between the filtered signals and output amplified signals, a CDR circuit that generates a data signal and a clock signal from the amplified signals and outputs the data signal and the clock signal, and a controller that output selection signals for selecting one of the plurality of receiving electrodes, based on the data signal and the clock signal.

    AUTHENTICATION ELECTRONIC DEVICE BASED ON BIOMETRIC TEMPLATE AND OPERATING METHOD THEREOF

    公开(公告)号:US20220382842A1

    公开(公告)日:2022-12-01

    申请号:US17825453

    申请日:2022-05-26

    Abstract: Disclosed are a biometric template-based authentication electronic device and an operating method thereof. The electronic device includes a memory, a transmitter that transmits a chirp signal, of which a frequency is changed, to a user, a receiver that obtains a biometric channel response signal, which responds to the transmitted chirp signal, from the user, and at least one processor that executes a biometric template authentication module based on machine learning. When executing the biometric template authentication module, the processor obtains a feature signal from the obtained biometric channel response signal, generates a biometric template from the obtained feature signal, performs the machine learning such that identification information of the user is inferred from the generated biometric template, and authenticates the user based on the result of the machine learning.

    CAPSULE ENDOSCOPE IMAGE RECEIVER AND CAPSULE ENDOSCOPE DEVICE HAVING THE SAME

    公开(公告)号:US20200315438A1

    公开(公告)日:2020-10-08

    申请号:US16842497

    申请日:2020-04-07

    Abstract: A capsule endoscope image receiver includes a receiving electrode unit that receives first and second differential signals from a capsule endoscope image transmitter through a human body communication channel, an analog amplifying unit that receives the first and second differential signals and outputs first and second amplified differential signals, and a signal restoring unit that receives the first and second amplified differential signals and restores image information. The analog amplifying unit includes a first amplifier that outputs the first amplified differential signal, a second amplifier that outputs the second amplified differential signal, and an input impedance that is connected between a first inverting input terminal of the first amplifier and a second inverting input terminal of the second amplifier and obtains a gain of differential signal amplification in which a high frequency component of the first and second amplified differential signals is greater than a low frequency component.

    SPIKE NEURAL NETWORK CIRCUIT INCLUDING INPUT SPIKE DETECTING CIRCUIT AND OPERATING METHOD THEREOF

    公开(公告)号:US20230385618A1

    公开(公告)日:2023-11-30

    申请号:US18307196

    申请日:2023-04-26

    CPC classification number: G06N3/049 G06N3/063

    Abstract: Disclosed is a spike neural network circuit including a synaptic circuit including synapses arranged in rows and columns, an axon circuit that generates a first input spike signal to be provided to a first row among the rows, and a second input spike signal to be provided to a second row among the rows, an input spike detecting circuit that generates an enable signal when detecting a pulse from at least one of the first input spike signal and the second input spike signal, and a first neuron circuit that compares a voltage level of a first accumulated signal, which is output from a first column among the columns, with a threshold voltage level in response to the enable signal, and outputs a first output spike signal when the voltage level of the first accumulated signal exceeds the threshold voltage level.

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