Neural network and its information processing method, information processing system

A neural network circuit, comprising:

• N neuron layers connected one by one, wherein except for a first neuron layer, each neuron in other neuron layers comprises m dendrite units and one soma unit;
• wherein the dendrite units each comprises a capacitor and a diode in series and a resistance gradient element, the soma unit comprises a resistance mutation element and an oscillating circuit, and the m dendrite units are configured with different threshold voltages or currents respectively;
• and
• neurons in an n-th neuron layer are respectively connected to the m dendrite units of each neuron in an (n+1)th neuron layer;
• wherein N is an integer greater than or equal to 2, m is an integer greater than 1, n is an integer greater than or equal to 1 and less than N;
• wherein outputs of the m dendrite units conform to the following function:
• y
• =
• {
• x
• ,
• a
• =
• 0
• e
• ax
• -
• 1
• e
• a
• -
• 1
• ,
• a
• >
• 0
• where a denotes a nonlinear coefficient, which comprises a threshold voltage or current of the dendrite unit;
• x represents an input of the m dendrite units, and y represents the outputs of the m dendrite units.