公开(公告)号：CA2924468A1

公开(公告)日：2015-04-23

申请号：CA2924468

申请日：2014-08-20

Applicant: QUALCOMM INC

Inventor： WIERZYNSKI CASIMIR MATTHEW ,  LEVIN JEFFREY ALEXANDER

IPC: G06N3/04

Abstract: A method for managing a neural network includes monitoring a congestion indication in a neural network. The method further includes modifying a spike distribution based on the monitored congestion indication.

公开(公告)号：CA2926824A1

公开(公告)日：2015-05-14

申请号：CA2926824

申请日：2014-11-04

Applicant: QUALCOMM INC

Inventor： LEVIN JEFFREY ALEXANDER ,  RANGAN VENKAT ,  MALONE ERIK CHRISTOPHER

IPC: G06N3/04

Abstract: Aspects of the present disclosure relate to methods and apparatus for training an artificial nervous system. According to certain aspects, timing of spikes of an artificial neuron during a training iteration are recorded, the spikes of the artificial neuron are replayed according to the recorded timing, during a subsequent training iteration, and parameters associated with the artificial neuron are updated based, at least in part, on the subsequent training iteration.

公开(公告)号：CA2937945A1

公开(公告)日：2015-09-03

申请号：CA2937945

申请日：2015-02-12

Applicant: QUALCOMM INC

Inventor： SARAH ANTHONY ,  LEVIN JEFFREY ALEXANDER ,  GEHLHAAR JEFFREY BAGINSKY

IPC: G06N3/04 ,  G06N3/10

Abstract: Certain aspects of the present disclosure support efficient implementation of common neuron models. In an aspect, a first memory layout can be allocated for parameters and state variables of instances of a first neuron model, and a second memory layout different from the first memory layout can be allocated for parameters and state variables of instances of a second neuron model having a different complexity than the first neuron model.

公开(公告)号：CA2921831A1

公开(公告)日：2015-04-02

申请号：CA2921831

申请日：2014-08-18

Applicant: QUALCOMM INC

Inventor： JULIAN DAVID JONATHAN ,  LEVIN JEFFREY ALEXANDER ,  GEHLHAAR JEFFREY BAGINSKY

IPC: G06N3/04

Abstract: Certain aspects of the present disclosure support assigning neurons and/or synapses to group tags where group tags have an associated set of parameters. By using group tags, neurons or synapses in a population can be assigned a group tag. Then, by changing a parameter associated with the group tag, all synapses or neurons in the group may have that parameter changed.

公开(公告)号：WO2015142503A3

公开(公告)日：2015-12-23

申请号：PCT/US2015018264

申请日：2015-03-02

Applicant: QUALCOMM INC

Inventor： LEVIN JEFFREY ALEXANDER ,  MALONE ERIK CHRISTOPHER ,  LIAO EDWARD HANYU

IPC: G06N3/04 ,  G06N3/063

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

Abstract: Certain aspects of the present disclosure support a method and apparatus for implementing kortex neural network processor within an artificial nervous system. According to certain aspects, a plurality of spike events can be generated by a plurality of neuron unit processors of the artificial nervous system, and the spike events can be sent from a subset of the neuron unit processors to another subset of the neuron unit processors via a plurality of synaptic connection processors of the artificial nervous system.

Abstract translation: 本公开的某些方面支持用于在人造神经系统内实现皮质神经网络处理器的方法和设备。 根据某些方面，多个尖峰事件可以由人造神经系统的多个神经元单元处理器产生，并且尖峰事件可以经由神经元单元处理器的子集经由神经元单元处理器的子集经由 人造神经系统的多个突触连接处理器。

公开(公告)号：WO2015112713A3

公开(公告)日：2015-10-29

申请号：PCT/US2015012454

申请日：2015-01-22

Applicant: QUALCOMM INC

Inventor： CANOY MICHAEL-DAVID NAKAYOSHI ,  LIU YINYIN ,  CHAN VICTOR HOKKIU ,  CAMPOS MICHAEL ,  LEVIN JEFFREY ALEXANDER ,  WIERZYNSKI CASIMIR MATTHEW

IPC: G06N3/04 ,  G06N3/063 ,  G06N99/00

CPC classification number: G06F9/52 ,  G06N3/049 ,  G06N3/063 ,  G06N3/08 ,  G06N99/005

Abstract: Values are synchronized across processing blocks in a neural network by encoding spikes in a first processing block with a value to be shared across the neural network. The spikes may be transmitted to a second processing block in the neural network via an interblock interface. The received spikes are decoded in the second processing block so as to generate a value that is synchronized with the value of the first processing block.

Abstract translation: 通过在第一处理块中对尖峰进行编码以跨神经网络共享的值来在神经网络中的处理块之间同步数值。 尖峰可以经由帧间接口发送到神经网络中的第二处理块。 接收的尖峰在第二处理块中解码，以产生与第一处理块的值同步的值。

公开(公告)号：WO2015130476A3

公开(公告)日：2015-10-22

申请号：PCT/US2015015637

申请日：2015-02-12

Applicant: QUALCOMM INC

Inventor： SARAH ANTHONY ,  LEVIN JEFFREY ALEXANDER ,  GEHLHAAR JEFFREY BAGINSKY

IPC: G06N3/04 ,  G06N3/10

CPC classification number: G06N3/04 ,  G06N3/0454 ,  G06N3/08 ,  G06N3/10

Abstract: Certain aspects of the present disclosure support efficient implementation of common neuron models. In an aspect, a first memory layout can be allocated for parameters and state variables of instances of a first neuron model, and a second memory layout different from the first memory layout can be allocated for parameters and state variables of instances of a second neuron model having a different complexity than the first neuron model.

Abstract translation: 本公开的某些方面支持有效实施普通神经元模型。 在一方面，可以为第一神经元模型的实例的参数和状态变量分配第一存储器布局，并且可以为与第一存储器布局不同的第二存储器布局分配用于第二神经元模型的实例的参数和状态变量 具有与第一神经元模型不同的复杂性。

公开(公告)号：WO2015047589A3

公开(公告)日：2015-05-21

申请号：PCT/US2014051469

申请日：2014-08-18

Applicant: QUALCOMM INC

Inventor： JULIAN DAVID JONATHAN ,  LEVIN JEFFREY ALEXANDER ,  GEHLHAAR JEFFREY BAGINSKY

IPC: G06N3/04

CPC classification number: G06N3/049 ,  G06N3/0454

Abstract: Certain aspects of the present disclosure support assigning neurons and/or synapses to group tags where group tags have an associated set of parameters. By using group tags, neurons or synapses in a population can be assigned a group tag. Then, by changing a parameter associated with the group tag, all synapses or neurons in the group may have that parameter changed.

Abstract translation: 本公开的某些方面支持将神经元和/或突触分配给组标签，其中组标签具有相关联的一组参数。 通过使用组标签，群体中的神经元或突触可以被分配一个组标签。 然后，通过改变与组标签相关的参数，组中的所有突触或神经元可以改变该参数。

公开(公告)号：WO2014189970A3

公开(公告)日：2015-04-09

申请号：PCT/US2014038841

申请日：2014-05-20

Applicant: QUALCOMM INC

Inventor： LEVIN JEFFREY ALEXANDER ,  RANGAN VENKAT ,  MALONE ERIK CHRISTOPHER

IPC: G06N3/04 ,  G06N3/06

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

Abstract: Certain aspects of the present disclosure support operating simultaneously multiple super neuron processing units in an artificial nervous system, wherein a plurality of artificial neurons is assigned to each super neuron processing unit. The super neuron processing units can be interfaced with a memory for storing and loading synaptic weights and plasticity parameters of the artificial nervous system, wherein organization of the memory allows contiguous memory access.

Abstract translation: 本公开的某些方面支持在人造神经系统中同时操作多个超级神经元处理单元，其中将多个人造神经元分配给每个超级神经元处理单元。 超神经元处理单元可以与用于存储和加载人造神经系统的突触权重和可塑性参数的存储器连接，其中存储器的组织允许连续的存储器访问。

公开(公告)号：WO2015156989A3

公开(公告)日：2015-12-03

申请号：PCT/US2015022024

申请日：2015-03-23

Applicant: QUALCOMM INC

Inventor： LEVIN JEFFREY ALEXANDER ,  LIU YINYIN ,  PENDYAM SANDEEP ,  CAMPOS MICHAEL

IPC: G06N3/04 ,  G06N99/00

CPC classification number: G06N99/005 ,  G06N3/049

Abstract: A method for maintaining a state variable in a synapse of a neural network includes maintaining a state variable in an axon. The state variable in the axon may be updated based on an occurrence of a first predetermined event. The method also includes updating the state variable in the synapse based on the state variable in the axon and an occurrence of a second predetermined event.

Abstract translation: 维持神经网络突触状态变量的方法包括维持轴突中的状态变量。 可以基于第一预定事件的发生来更新轴突中的状态变量。 该方法还包括基于轴突中的状态变量和第二预定事件的发生来更新突触中的状态变量。