Abstract: A spiking neural network acceleration method includes constructing an approximate computation model according to a spiking neuron model and a spiking coding mode. The approximate computation model utilizes the characteristic that spiking frequency domain coding ignores the time semantics of a spiking sequence, compresses the distribution of spiking signals on a time step, and greatly reduces a spiking routing process and a subsequent neural computation process. The time-driven accelerator replans the computation process of the spiking neural network, sets a deduplication queue and a bitmap to solve the problem of spiking jitter, and realizes efficient support on the inhibitory spiking neural network.

Abstract: Disclosed are a universal channel device and control method for electromagnetic instruments, and the device including: a measurement channel, a single electrode connector, a multi-electrode connector, a magnetic field connector and a double pole double throw switch. Two middle ports of each double pole double throw switch are connected to a measurement channel. Two ports on an outer side are connected to the positive and negative input terminals of two single electrode connectors or magnetic field connectors, two ports on another outer side are connected to the multi-electrode connectors. The measurement channel corresponding to the magnetic field connector is utilized for measuring magnetic field signals or for measuring electric field signals through the double pole double throw switch. The measurement channel corresponding to every two single electrode connectors is provided to measure electric field signals or is provided to measure electric field signals through the double pole double throw switch.

Abstract: Disclosed are a universal channel device and control method for electromagnetic instruments, and the device including: a measurement channel, a single electrode connector, a multi-electrode connector, a magnetic field connector and a double pole double throw switch. Two middle ports of each double pole double throw switch are connected to a measurement channel. Two ports on an outer side are connected to the positive and negative input terminals of two single electrode connectors or magnetic field connectors, two ports on another outer side are connected to the multi-electrode connectors. The measurement channel corresponding to the magnetic field connector is utilized for measuring magnetic field signals or for measuring electric field signals through the double pole double throw switch. The measurement channel corresponding to every two single electrode connectors is provided to measure electric field signals or is provided to measure electric field signals through the double pole double throw switch.

Abstract: A spiking neural network acceleration method includes constructing an approximate computation model according to a spiking neuron model and a spiking coding mode. The approximate computation model utilizes the characteristic that spiking frequency domain coding ignores the time semantics of a spiking sequence, compresses the distribution of spiking signals on a time step, and greatly reduces a spiking routing process and a subsequent neural computation process. The time-driven accelerator replans the computation process of the spiking neural network, sets a deduplication queue and a bitmap to solve the problem of spiking jitter, and realizes efficient support on the inhibitory spiking neural network.