公开(公告)号：US20210049448A1

公开(公告)日：2021-02-18

申请号：US16964435

申请日：2018-02-24

Applicant: Tsinghua University

Inventor： Xinyi LI ,  Huaqiang Wu ,  He Qian ,  Bin Gao ,  Sen Song ,  Qingtian Zhang

IPC: G06N3/06 ,  G06N3/063 ,  G06N3/08 ,  G06N3/04

Abstract: A neural network and its information processing method, information processing system. The neural network includes N layers of neuron layers connected to each other one by one, except for a first layer of neuron layer, each of the neurons of the other neuron layers includes m dendritic units and one hippocampal unit; the dendritic unit includes a resistance value graded device, the hippocampal unit includes a resistance value mutation device, and the m dendritic units can be provided with different threshold voltage or current, respectively; and the neurons on the nth layer neuron layer are connected to the m dendritic units of the neurons on the n+1th layer neuron layer; wherein N is an integer larger than 3, m is an integer larger than 1, n is an integer larger than 1 and less than N.

公开(公告)号：US11468300B2

公开(公告)日：2022-10-11

申请号：US16071985

申请日：2017-11-14

Applicant: Tsinghua University

Inventor： Xinyi Li ,  Huaqiang Wu ,  Sen Song ,  Qingtian Zhang ,  Bin Gao ,  He Qian

IPC: G06N3/063 ,  G06N3/04

Abstract: A circuit structure and a driving method thereof, a neural network are disclosed. The circuit structure includes at least one circuit unit, each circuit unit includes a first group of resistive switching devices and a second group of resistive switching devices, the first group of resistive switching devices includes a resistance gradual-change device, the second group of resistive switching devices includes a resistance abrupt-change device, the first group of resistive switching devices and the second group of resistive switching devices are connected in series, in a case that no voltage is applied, a resistance value of the first group of resistive switching devices is larger than a resistance value of the second group of resistive switching devices.

公开(公告)号：US12217164B2

公开(公告)日：2025-02-04

申请号：US16964435

申请日：2018-02-24

Applicant: Tsinghua University

Inventor： Xinyi Li ,  Huaqiang Wu ,  He Qian ,  Bin Gao ,  Sen Song ,  Qingtian Zhang

IPC: G06N3/06 ,  G06N3/049 ,  G06N3/065 ,  G06N3/084

Abstract: A neural network and its information processing method, information processing system. The neural network includes N layers of neuron layers connected to each other one by one, except for a first layer of neuron layer, each of the neurons of the other neuron layers includes m dendritic units and one hippocampal unit; the dendritic unit includes a resistance value graded device, the hippocampal unit includes a resistance value mutation device, and the m dendritic units can be provided with different threshold voltage or current, respectively; and the neurons on the nth layer neuron layer are connected to the m dendritic units of the neurons on the n+1th layer neuron layer; wherein N is an integer larger than 3, m is an integer larger than 1, n is an integer larger than 1 and less than N.