Shape recognition method for positive and negative peaks of neural discharge signal

A shape recognition method for positive and negative peaks of neural discharge signal includes: performing adaptive threshold detection and calculation to actually observed neural discharge signal X according to a followed formula; detecting neuron discharge pulse in a sequence of the neural discharge signal; and extracting the neural discharge pulse from the sequence of the neural discharge signal. By the novel shape recognition method for positive and negative peaks of the neural discharge signal, neutron discharge pulses such as positive and negative peak pulse, positive peak pulse and negative peak pulse can be detected and extracted from the actually observed neural discharge signal. The shape recognition method for positive and negative peaks of the neural discharge signal is simple and is effective in classification. The extracted neuron discharge pulses are significant for analysis of neural discharge signal characteristics under spontaneous status and search of neural discharge signal change caused by external stimulus. Discharge frequency and discharge inter-spike-interval of the neuron discharge pulses of different peak shapes can be counted respectively, and discharge conditions of the neuron discharge pulses of different peak shapes can be analyzed respectively. Considerable social benefit and economic benefit can be obtained.