Abstract: A quantization parameter providing step of a quantization method is performed to provide a quantization parameter which includes a quantized input activation, a quantized weight and a splitting value. A parameter splitting step is performed to split the quantized weight and the quantized input activation into a plurality of grouped quantized weights and a plurality of grouped activations, respectively, according to the splitting value. A multiply-accumulate step is performed to execute a multiply-accumulate operation with one of the grouped quantized weights and one of the grouped activations, and then generate a convolution output. A convolution quantization step is performed to quantize the convolution output to a quantized convolution output according to a convolution target bit. A convolution merging step is performed to execute a partial-sum operation with the quantized convolution output according to the splitting value, and then generate an output activation.

Abstract: A method is provided and includes operations as below: receiving multiple spike signals in an input layer of a spiking neural network during multiple time steps; counting a corresponding number of spikes in the spike signals for each of the time steps; weighting, in response to the corresponding number of spikes in one of plurality of time steps being greater than a predetermined count value, the spike signals with multiple synaptic weight values to generate multiple synaptic signals; generating a membrane potential by accumulating a number N of the synaptic signals according to a weight distribution of the synaptic weight values; and generating an output spike signal according to the membrane potential.

Abstract: A method is provided and includes operations as below: training a spiking neural network (SNN) in a first device to generate multiple first weight values of M bits; calculating multiple second weight values of N bits corresponding to the first weight values according to a threshold value, the number M, and the first weight values, wherein the number N is smaller than the number M; retraining the spiking neural network with the second weight values to update the second weight values; and performing a write operation to save the updated plurality of second weight values in a memory in a second device for performing a spiking neural network operation in the second device.

Abstract: A hardware/software co-compressed computing method for a static random access memory (SRAM) computing-in-memory-based (CIM-based) processing unit includes performing a data dividing step, a sparsity step, an address assigning step and a hardware decoding and calculating step. The data dividing step is performed to divide a plurality of kernels into a plurality of weight groups. The sparsity step includes performing a weight setting step. The weight setting step is performed to set each of the weight groups to one of a zero weight group and a non-zero weight group. The address assigning step is performed to assign a plurality of index codes to a plurality of the non-zero weight groups, respectively. The hardware decoding and calculating step is performed to execute an inner product to the non-zero weight groups and the input feature data group corresponding to the non-zero weight groups to generate the output feature data group.

Abstract: In electrically stimulating neural tissue it is important to prevent over stimulation and unbalanced stimulation, which would cause damage to the neural tissue, the electrode, or both. It is critical that neural tissue is not subjected to any direct current or alternating current above a safe threshold. Further, it is important to identify defective electrodes, as continued use may result in neural damage and further electrode damage. The present invention presents system and stimulator control mechanisms to prevent damage to neural tissue.

Abstract: In electrically stimulating neural tissue it is important to prevent over stimulation and unbalanced stimulation, which would cause damage to the neural tissue, the electrode, or both. It is critical that neural tissue is not subjected to any direct current or alternating current above a safe threshold. Further, it is important to identify defective electrodes, as continued use may result in neural damage and further electrode damage. The present invention presents system and stimulator control mechanisms to prevent damage to neural tissue.

Abstract: In electrically stimulating neural tissue it is important to prevent over stimulation and unbalanced stimulation, which would cause damage to the neural tissue, the electrode, or both. It is critical that neural tissue is not subjected to any direct current or alternating current above a safe threshold. Further, it is important to identify defective electrodes, as continued use may result in neural damage and further electrode damage. The present invention presents system and stimulator control mechanisms to prevent damage to neural tissue.

Abstract: In electrically stimulating neural tissue it is important to prevent over stimulation and unbalanced stimulation, which would cause damage to the neural tissue, the electrode, or both. It is critical that neural tissue is not subjected to any direct current or alternating current above a safe threshold. Further, it is important to identify defective electrodes, as continued use may result in neural damage and further electrode damage. The present invention presents system and stimulator control mechanisms to prevent damage to neural tissue.

Abstract: A quantization parameter providing step of a quantization method is performed to provide a quantization parameter which includes a quantized input activation, a quantized weight and a splitting value. A parameter splitting step is performed to split the quantized weight and the quantized input activation into a plurality of grouped quantized weights and a plurality of grouped activations, respectively, according to the splitting value. A multiply-accumulate step is performed to execute a multiply-accumulate operation with one of the grouped quantized weights and one of the grouped activations, and then generate a convolution output. A convolution quantization step is performed to quantize the convolution output to a quantized convolution output according to a convolution target bit. A convolution merging step is performed to execute a partial-sum operation with the quantized convolution output according to the splitting value, and then generate an output activation.

Abstract: A method for integrating a processing-in-sensor unit and an in-memory computing includes the following steps. A providing step is performed to transmit the first command signal and the initial data to the in-memory computing unit. A converting step is performed to drive the first command signal and the initial data to convert to a second command signal and a plurality of input data through a synchronizing module. A fetching step is performed to drive a frame difference module to receive the input data to fetch a plurality of difference data. A slicing step is performed to drive a bit-slicing module to receive the difference data and slice each of the difference data into a plurality of bit slices. A controlling step is performed to encode the difference address into a control signal, and the in-memory computing unit accesses each of the bit slices according to the control signal.

Abstract: In electrically stimulating neural tissue it is important to prevent over stimulation and unbalanced stimulation, which would cause damage to the neural tissue, the electrode, or both. It is critical that neural tissue is not subjected to any direct current or alternating current above a safe threshold. Further, it is important to identify defective electrodes, as continued use may result in neural damage and further electrode damage. The present invention presents system and stimulator control mechanisms to prevent damage to neural tissue.

Abstract: In electrically stimulating neural tissue it is important to prevent over stimulation and unbalanced stimulation, which would cause damage to the neural tissue, the electrode, or both. It is critical that neural tissue is not subjected to any direct current or alternating current above a safe threshold. Further, it is important to identify defective electrodes, as continued use may result in neural damage and further electrode damage. The present invention presents system and stimulator control mechanisms to prevent damage to neural tissue.

Abstract: In electrically stimulating neural tissue it is important to prevent over stimulation and unbalanced stimulation, which would cause damage to the neural tissue, the electrode, or both. It is critical that neural tissue is not subjected to any direct current or alternating current above a safe threshold. Further, it is important to identify defective electrodes, as continued use may result in neural damage and further electrode damage. The present invention presents system and stimulator control mechanisms to prevent damage to neural tissue.

Abstract: In electrically stimulating neural tissue it is important to prevent over stimulation and unbalanced stimulation, which would cause damage to the neural tissue, the electrode, or both. It is critical that neural tissue is not subjected to any direct current or alternating current above a safe threshold. Further, it is important to identify defective electrodes, as continued use may result in neural damage and further electrode damage. The present invention presents system and stimulator control mechanisms to prevent damage to neural tissue.

Abstract: In electrically stimulating neural tissue it is important to prevent over stimulation and unbalanced stimulation which would cause damage to the neural tissue, the electrode, or both. It is critical that neural tissue is not subjected to any direct current or alternating current above a safe threshold. Further, it is important to identify defective electrodes as continued use may result in neural damage and further electrode damage. The present invention presents system and stimulator control mechanisms to prevent damage to neural tissue.

Abstract: In electrically stimulating neural tissue it is important to prevent over stimulation and unbalanced stimulation which would cause damage to the neural tissue, the electrode, or both. It is critical that neural tissue is not subjected to any direct current or alternating current above a safe threshold. Further, it is important to identify defective electrodes as continued use may result in neural damage and further electrode damage. The present invention presents system and stimulator control mechanisms to prevent damage to neural tissue.

Abstract: An apparatus for controlling the stimulation of neural tissue which includes a neural stimulator, an input device for providing input to the neural stimulator for neural stimulation, at least one electrode electrically connected to and driven by the neural stimulator and suitable to stimulate neural tissue, a device capable of determining a charge per phase by calculating a discrete integral of the wave form of the input for the at least one electrode, a calculating device for comparing the charge per phase to a predetermined maximum and determining a reduced stimulation for the at least one electrode by the amount necessary not to exceed the predetermined maximum for the at least one electrode, and a current pulse generator for stimulating the neural tissue according to the reduced stimulation level.

Abstract: In electrically stimulating neural tissue it is important to prevent over stimulation and unbalanced stimulation which would cause damage to the neural tissue, the electrode, or both. It is critical that neural tissue in not subjected to any direct current or alternating current above a safe threshold. Further, it is important to identify defective electrodes as continued use may result in neural and further electrode damage. The present invention presents system and stimulator control mechanisms to prevent damage to neural tissue.

Abstract: The present invention discloses a demodulating method for a demodulating circuit. The demodulating method comprises a step of utilizing a wave-shaping voltage step-down circuit to perform a wave-shaping process for a modulating input signal. A separate circuit of modulating input signal is filtering data zero of the modulating input signal and reserving data one of the modulating input signal. A triggering circuit of data recover is used to start the count of data span, until the data count is completed. A data recover circuit is used to recover the data.

Abstract: The present invention discloses a feedback type voltage regulator, including a voltage reference circuit for providing a reference voltage, distributed series feedback amplifiers electrically coupled to the voltage reference circuit and a power transistor which gate is electrically connected to the distributed series feedback amplifiers. The distributed series feedback amplifiers comprises three set of amplifiers serially connected with each other, wherein the relation of the gain of the first amplifier (A1), the second amplifier (A2), and the third amplifier (A3) is A1>A2>A3, wherein the relation of the bandwidth of the first amplifier (B1), the second amplifier (B2), and the third amplifier (B3) is B1<B2<B3.