公开(公告)号：US20150074026A1

公开(公告)日：2015-03-12

申请号：US14020376

申请日：2013-09-06

Applicant: QUALCOMM TECHNOLOGIES INC.

Inventor： Botond Szatmary ,  Eugene Izhikevich

IPC: G06N3/08

CPC classification number: G06N3/049

Abstract: Event based communication in a spiking neuron network may be provided. The network may comprise units communicating by spikes via synapses. Responsive to a spike generation, a unit may be configured to update states of outgoing synapses. The spikes may communicate a payload data. The data may comprise one or more bits. The payload may be stored in a buffer of a pre-synaptic unit and be configured to accessed by the post-synaptic unit. Spikes of different payload may cause different actions by the recipient unit. Sensory input spikes may cause postsynaptic response and trigger connection efficacy update. Teaching input may be used to modulate plasticity.

Abstract translation: 可以提供在尖峰神经元网络中基于事件的通信。 网络可以包括通过突触通过尖峰通信的单元。 响应于尖峰生成，单元可以被配置为更新外出突触的状态。 峰值可以传送有效载荷数据。 数据可以包括一个或多个位。 有效载荷可以存储在突触前单元的缓冲器中，并且被配置为由突触后单元访问。 不同有效负载的峰值可能导致接收单元的不同动作。 感觉输入尖峰可能会引起突触后反应并触发连接功效更新。 教学输入可用于调节可塑性。

公开(公告)号：US09460385B2

公开(公告)日：2016-10-04

申请号：US14466917

申请日：2014-08-22

Applicant: QUALCOMM TECHNOLOGIES INC.

Inventor： Filip Piekniewski ,  Micah Richert ,  Eugene Izhikevich ,  Victor Hokkiu Chan ,  Jeffrey Alexander Levin

IPC: G06N3/08 ,  G06N3/02 ,  G06N99/00 ,  G06N3/04 ,  G06N3/10

CPC classification number: G06N3/08 ,  G06N3/02 ,  G06N3/049 ,  G06N3/10 ,  G06N99/005

Abstract: Apparatus and methods for activity based plasticity in a spiking neuron network adapted to process sensory input. In one approach, the plasticity mechanism of a connection may comprise a causal potentiation portion and an anti-causal portion. The anti-causal portion, corresponding to the input into a neuron occurring after the neuron response, may be configured based on the prior activity of the neuron. When the neuron is in low activity state, the connection, when active, may be potentiated by a base amount. When the neuron activity increases due to another input, the efficacy of the connection, if active, may be reduced proportionally to the neuron activity. Such functionality may enable the network to maintain strong, albeit inactive, connections available for use for extended intervals.

公开(公告)号：US09177245B2

公开(公告)日：2015-11-03

申请号：US13763005

申请日：2013-02-08

Applicant: QUALCOMM TECHNOLOGIES INC.

Inventor： Micah Richert ,  Filip Piekniewski ,  Eugene Izhikevich ,  Sach Sokol ,  Victor Hokkiu Chan ,  Jeffrey Alexander Levin

IPC: G06N3/08 ,  G06N3/04

CPC classification number: G06K9/00711 ,  G06K9/4671 ,  G06N3/049 ,  G06N3/08 ,  G06T7/246 ,  G06T2207/10016

Abstract: Apparatus and methods for learning in response to temporally-proximate features. In one implementation, an image processing apparatus utilizes bi-modal spike timing dependent plasticity in a spiking neuron network. Based on a response by the neuron to a frame of input, the bi-modal plasticity mechanism is used to depress synaptic connections delivering the present input frame and to potentiate synaptic connections delivering previous and/or subsequent frames of input. The depression of near-contemporaneous input prevents the creation of a positive feedback loop and provides a mechanism for network response normalization.

Abstract translation: 响应于时间上接近的特征学习的装置和方法。 在一个实施方案中，图像处理装置在加标神经元网络中利用双模态尖峰时间相关可塑性。 基于神经元对输入帧的响应，双模式可塑性机制用于抑制递送当前输入帧的突触连接并且加强递送先前和/或后续输入帧的突触连接。 近同期输入的抑制阻止了正反馈回路的创建，并提供了网络响应归一化的机制。

公开(公告)号：US09436908B2

公开(公告)日：2016-09-06

申请号：US13774934

申请日：2013-02-22

Applicant: QUALCOMM TECHNOLOGIES INC.

Inventor： Filip Piekniewski ,  Micah Richert ,  Eugene Izhikevich ,  Victor Hokkiu Chan ,  Jeffrey Alexander Levin

IPC: G06N3/08 ,  G06N3/02 ,  G06N99/00 ,  G06N3/04 ,  G06N3/10

CPC classification number: G06N3/08 ,  G06N3/02 ,  G06N3/049 ,  G06N3/10 ,  G06N99/005

Abstract: Apparatus and methods for activity based plasticity in a spiking neuron network adapted to process sensory input. In one approach, the plasticity mechanism of a connection may comprise a causal potentiation portion and an anti-causal portion. The anti-causal portion, corresponding to the input into a neuron occurring after the neuron response, may be configured based on the prior activity of the neuron. When the neuron is in low activity state, the connection, when active, may be potentiated by a base amount. When the neuron activity increases due to another input, the efficacy of the connection, if active, may be reduced proportionally to the neuron activity. Such functionality may enable the network to maintain strong, albeit inactive, connections available for use for extended intervals.

Abstract translation: 适用于处理感觉输入的加标神经元网络中基于活动的可塑性的装置和方法。 在一种方法中，连接的可塑性机构可以包括因果增强部分和反因果部分。 可以基于神经元的先前活动来配置对应于在神经元响应之后发生的神经元的输入的反因果部分。 当神经元处于低活动状态时，当活动时，连接可能被基础量增强。 当神经元活动由于另一个输入而增加时，如果活动，连接的功效可以与神经元活动成比例地降低。 这样的功能可以使得网络能够维持可用于延长的间隔的强的，虽然是不活动的连接。

公开(公告)号：US09412064B2

公开(公告)日：2016-08-09

申请号：US13868944

申请日：2013-04-23

Applicant: QUALCOMM TECHNOLOGIES INC.

Inventor： Botond Szatmary ,  Micah Richert ,  Oleg Sinyavskiy ,  Eugene Izhikevich

IPC: G06F15/18 ,  G06N3/04

CPC classification number: G06N3/049

Abstract: Apparatus and methods for event based communication in a spiking neuron network. The network may comprise units communicating by spikes via synapses. The spikes may communicate a payload data. The data may comprise one or more bits. The payload may be stored in a buffer of a pre-synaptic unit and be configured to accessed by the post-synaptic unit. Spikes of different payload may cause different actions by the recipient unit. Sensory input spikes may cause postsynaptic response and trigger connection efficacy update. Teaching input spikes trigger the efficacy update without causing the post-synaptic response.

Abstract translation: 用于加速神经元网络中基于事件的通信的装置和方法。 网络可以包括通过突触通过尖峰通信的单元。 峰值可以传送有效载荷数据。 数据可以包括一个或多个位。 有效载荷可以存储在突触前单元的缓冲器中，并且被配置为由突触后单元访问。 不同有效负载的峰值可能导致接收单元的不同动作。 感觉输入尖峰可能会引起突触后反应并触发连接功效更新。 教学输入尖峰触发功效更新，而不会导致突触后反应。