公开(公告)号：US11017288B2

公开(公告)日：2021-05-25

申请号：US15845245

申请日：2017-12-18

Applicant: Intel Corporation

Inventor： Ram Kumar Krishnamurthy ,  Gregory Kengho Chen ,  Raghavan Kumar ,  Phil Christopher Knag ,  Huseyin Ekin Sumbul

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

Abstract: System and techniques for spike timing dependent plasticity (STDP) in neuromorphic hardware are described herein. A first spike may be received, at a first neuron at a first time, from a second neuron. The first neuron may produce a second spike at a second time after the first time. At a third time after the second time, the first neuron may receive a third spike from the second neuron. Here, the third spike is a replay of the first spike with a defined time offset. The first neuron may then perform long term potentiation (LTP) for the first spike using the third spike.

公开(公告)号：US20190042913A1

公开(公告)日：2019-02-07

申请号：US15884001

申请日：2018-01-30

Applicant: Intel Corporation

Inventor： Phil Knag ,  Gregory Kengho Chen ,  Raghavan Kumar ,  Huseyin Ekin Sumbul ,  Ram Kumar Krishnamurthy

IPC: G06N3/04

Abstract: Various systems, devices, and methods for operating on a data sequence. A system includes a set of circuits that form an input layer to receive a data sequence; first hardware computing units to transform the data sequence, the first hardware computing units connected using a set of randomly selected weights, a first hardware computing unit to: receive an input from a second hardware computing unit, determine a weight of a connection between the first and second hardware computing units using an identifier of the second hardware computing unit and a fixed random weight generator, and operate on the input using the weight to determine a state of the first hardware computing unit; and second hardware computing units to operate on states of the first computing units to generate an output based on the data sequence.

公开(公告)号：US11783160B2

公开(公告)日：2023-10-10

申请号：US15884001

申请日：2018-01-30

Applicant: Intel Corporation

Inventor： Phil Knag ,  Gregory Kengho Chen ,  Raghavan Kumar ,  Huseyin Ekin Sumbul ,  Ram Kumar Krishnamurthy

IPC: G06N3/04 ,  G06N3/063 ,  G06N3/08 ,  G06N3/044 ,  G06F7/58

CPC classification number: G06N3/04 ,  G06N3/044 ,  G06N3/063 ,  G06N3/08 ,  G06F7/582 ,  G06F7/588

Abstract: Various systems, devices, and methods for operating on a data sequence. A system includes a set of circuits that form an input layer to receive a data sequence; first hardware computing units to transform the data sequence, the first hardware computing units connected using a set of randomly selected weights, a first hardware computing unit to: receive an input from a second hardware computing unit, determine a weight of a connection between the first and second hardware computing units using an identifier of the second hardware computing unit and a fixed random weight generator, and operate on the input using the weight to determine a state of the first hardware computing unit; and second hardware computing units to operate on states of the first computing units to generate an output based on the data sequence.

公开(公告)号：US20190197391A1

公开(公告)日：2019-06-27

申请号：US15855813

申请日：2017-12-27

Applicant: Intel Corporation

Inventor： Gregory Kengho Chen ,  Phil Christopher Knag ,  Ram Kumar Krishnamurthy ,  Raghavan Kumar ,  Huseyin Ekin Sumbul

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

CPC classification number: G06N3/049 ,  G06N3/063 ,  G06N3/08

Abstract: Systems and methods may apply homeostatic plasticity control in a spiking neural network, such as at a neuron of a core of the spiking neural network. The neuron may receive input spike information and determine whether to activate an output spike at the neuron based at least in part on the input spike information and a bias value. The bias value may be set based on whether the neuron issued a previous output spike during a previous time period. The bias value may be updated based on whether the output spike was activated at the neuron. For example, in accordance with a determination to activate the output spike, the bias value may be decreased, and in accordance with a determination to not activate the output spike, the bias value may be increased.

公开(公告)号：US20190042910A1

公开(公告)日：2019-02-07

申请号：US15845245

申请日：2017-12-18

Applicant: Intel Corporation

Inventor： Ram Kumar Krishnamurthy ,  Gregory Kengho Chen ,  Raghavan Kumar ,  Phil Christopher Knag ,  Huseyin Ekin Sumbul

IPC: G06N3/04

Abstract: System and techniques for spike timing dependent plasticity (STDP) in neuromorphic hardware are described herein. A first spike may be received, at a first neuron at a first time, from a second neuron. The first neuron may produce a second spike at a second time after the first time. At a third time after the second time, the first neuron may receive a third spike from the second neuron. Here, the third spike is a replay of the first spike with a defined time offset. The first neuron may then perform long term potentiation (LTP) for the first spike using the third spike.