Tsinghua University

Guoqi Li

Jing Pei

Lei Deng

Zhenzhi Wu

Luping Shi

Shuang Wu

There is provided a neural network information receiving method and system, and a sending method and system. The receiving method comprises: acquiring a reception initiation time for neuron information (S); receiving rostral neuron information output by rostral neurons (S); acquiring delay information of the rostral neuron information according to the reception initiation time, the rostral neuron information and a delay algorithm (S); and determining composite information output by the rostral neurons according to the rostral neuron information and the delay information (S). The receiving method and system and sending method and system take the delay information into consideration in the output information of neurons, such that the neuron information is able to carry more detailed time-domain information, thus augmenting operation modes of the neurons and enhancing the generalization ability of the whole network.

Neural network information receiving method, sending method, system, apparatus and readable storage medium

The disclosure relates to a self-adaptive leakage value neuron information processing method and system. The method includes: receiving front end pulse neuron output information; reading current pulse neuron information, wherein the current pulse neuron information includes self-adaptive membrane potential leakage information; calculating current pulse neuron output information according to the front end pulse neuron output information and the current pulse neuron information; updating the self-adaptive membrane potential leakage information according to the current pulse neuron output information; outputting the current pulse neuron output information. The self-adaptive leakage value neuron information processing system utilizes self-adaptive membrane potential leakage information to participate in calculation of current pulse neuron output information, and utilizes the calculated current pulse neuron output information to update the self-adaptive membrane potential information to participate in calculation of a next time step, and a good balance between sensitivity and stability of a neural network is achieved.

Self-adaptive threshold neuron information processing method, self-adaptive leakage value neuron information processing method, system computer device and readable storage medium

There are provided a neural network weight discretizing method, system and device, and a computer readable storage medium. The method includes acquiring a weight value range and a number of discrete weight states, the weight value range referring to a range of discrete weight values consisting of a maximum weight value of a current time step and a minimum weight value of the current time step, and the number of discrete weight states referring to the quantity of discrete weight states. The method also includes acquiring a weight state of a previous time step and a weight increment of the current time step and acquiring a state transfer direction by using a directional function according to the weight increment of the current time step. The method also includes acquiring a weight state of the current time step according to the weight state of the previous time step, the weight increment of the current time step, the state transfer direction, the weight value range and the number of discrete weight states. The method ensures that the weight value is always constrained in the same discrete-state space without the need for storing an additional virtual continuous-state implicit weight. On the premise that the computation performance of the neural network is ensured, the consumption of storage space is greatly reduced, and the computation complexity is reduced.

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Beijing, China

Guoqi Li