公开(公告)号：WO2015119896A3

公开(公告)日：2015-10-22

申请号：PCT/US2015014132

申请日：2015-02-02

Applicant: QUALCOMM INC ,  MARCOS NINA

Inventor： LEVIN JEFFREY ALEXANDER ,  HUNZINGER JASON FRANK

IPC: G06N3/04

CPC classification number: G06N3/049

Abstract: A method of approximating delay for postsynaptic potentials includes receiving a postsynaptic potential. The method further includes filtering the postsynaptic potential to approximate a delayed delivery of the postsynaptic potential.

Abstract translation: 一种近似延迟突触后电位的方法包括接收突触后电位。 该方法还包括过滤突触后电位以近似突触后电位的延迟递送。

公开(公告)号：WO2015057302A2

公开(公告)日：2015-04-23

申请号：PCT/US2014051823

申请日：2014-08-20

Applicant: QUALCOMM INC

Inventor： WIERZYNSKI CASIMIR MATTHEW ,  LEVIN JEFFREY ALEXANDER

CPC classification number: G06N3/04 ,  G06N3/049

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.

Abstract translation: 一种用于管理神经网络的方法包括监视神经网络中的拥塞指示。 该方法还包括基于所监视的拥塞指示修改尖峰分布。

公开(公告)号：WO2015088774A2

公开(公告)日：2015-06-18

申请号：PCT/US2014067343

申请日：2014-11-25

Applicant: QUALCOMM INC

Inventor： GUPTA VIKRAM ,  LEVIN JEFFREY ALEXANDER ,  LIAO EDWARD HANYU

IPC: G06N3/04

CPC classification number: G06N3/08 ,  G06N3/049

Abstract: A method for pattern recognition in a spiking neural network robust to initial network conditions includes creating a set of diverse neurons in a first layer to increase a diversity in a set of spike timings. An input corresponding to a pattern plus noise is presented at an input layer and represented as spikes. The spikes are received at the first layer and spikes are produced at the first layer based on the received spikes. The method also includes updating a weight of each synapse between an input layer neuron and an output layer neuron based on a spike timing difference between a spike at the input layer neuron and a spike at the output layer neuron. Further, the method includes classifying a spike pattern represented by a set of inter-spike intervals, regardless of noise in the spike pattern.

Abstract translation: 在对初始网络条件稳健的加标神经网络中的模式识别的方法包括在第一层中创建一组不同的神经元以增加一组尖峰定时的分集。 对应于图案加噪声的输入在输入层处呈现并表示为尖峰。 尖峰在第一层被接收，并且基于接收的尖峰在第一层产生尖峰。 该方法还包括基于输入层神经元的尖峰与输出层神经元的尖峰之间的尖峰定时差来更新输入层神经元和输出层神经元之间的每个突触的权重。 此外，该方法包括分类由一组间穗间隔表示的尖峰图案，而不管尖峰图案中的噪声如何。

公开(公告)号：WO2015020815A3

公开(公告)日：2015-06-11

申请号：PCT/US2014048187

申请日：2014-07-25

Applicant: QUALCOMM INC

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

IPC: G06N3/04

CPC classification number: G06N3/02 ,  G06N3/049

Abstract: Methods and apparatus are provided for implementing delays in an artificial nervous system. Synaptic and/or axonal delays between a post-synaptic artificial neuron and one or more pre-synaptic artificial neurons may be accounted for at the post-synaptic artificial neuron. One example method for managing delay between neurons in an artificial nervous system generally includes receiving, at a post-synaptic artificial neuron, input current values from one or more pre-synaptic artificial neurons; accounting for delays between the one or more pre-synaptic artificial neurons and the post-synaptic artificial neuron at the post-synaptic artificial neuron; and determining a state of the post-synaptic artificial neuron based at least in part on at least a portion of the input current values, according to the accounting.

Abstract translation: 提供了用于实施人造神经系统中的延迟的方法和设备。 在突触后人工神经元和一个或多个突触前人工神经元之间的突触和/或轴突延迟可以在突触后人工神经元处考虑。 用于管理人造神经系统中的神经元之间的延迟的一个示例方法一般包括在突触后人工神经元处接收来自一个或多个突触前人造神经元的输入电流值; 说明突触后人造神经元的一个或多个突触前人工神经元与突触后人工神经元之间的延迟; 以及根据所述计算至少部分地基于所述输入电流值的至少一部分来确定所述突触后人造神经元的状态。

公开(公告)号：WO2013044135A3

公开(公告)日：2013-05-16

申请号：PCT/US2012056714

申请日：2012-09-21

Applicant: QUALCOMM INC ,  VENKATRAMAN SUBRAMANIAM ,  LEVIN JEFFREY ALEXANDER

Inventor： VENKATRAMAN SUBRAMANIAM ,  LEVIN JEFFREY ALEXANDER

IPC: G06F1/12 ,  H03K19/02 ,  H04L25/40

CPC classification number: G06F1/12

Abstract: Certain aspects of the present disclosure provides techniques for a handshaking protocol, and corresponding circuit elements, for an asynchronous network. The techniques utilize a clock-less delay insensitive data encoding scheme. The proposed network may operate correctly regardless of the delay in the interconnecting wires.

Abstract translation: 本公开的某些方面提供了用于异步网络的握手协议和对应的电路元件的技术。 该技术利用无时钟的延迟不敏感数据编码方案。 所提出的网络可以正确地操作，而不管互连线中的延迟如何。

公开(公告)号：WO2015148210A3

公开(公告)日：2016-02-04

申请号：PCT/US2015021240

申请日：2015-03-18

Applicant: QUALCOMM INC

Inventor： GUPTA VIKRAM ,  GIBSON SARAH PAIGE ,  LEVIN JEFFREY ALEXANDER ,  PATWARDHAN RAVINDRA MANOHAR ,  CHAKRABORTY AVIJIT ,  CONSTABLE WILLIAM HOWARD ,  BELL II WILLIAM RICHARD

IPC: G06N3/08 ,  G06N3/04

CPC classification number: G06N3/08 ,  G06N3/04

Abstract: A method for managing synapse plasticity in a neural network includes converting a first set of synapses from a plastic synapse type to a fixed synapse type. The method may also include converting a second set of synapses from the fixed synapse type to the plastic synapse type.

Abstract translation: 用于管理神经网络中的突触可塑性的方法包括将第一组突触从塑性突触类型转换为固定的突触型。 该方法还可以包括将第二组突触从固定突触型转换为塑性突触型。

公开(公告)号：WO2015148060A3

公开(公告)日：2015-12-03

申请号：PCT/US2015018309

申请日：2015-03-02

Applicant: QUALCOMM INC

Inventor： PATWARDHAN RAVINDRA MANOHAR ,  LEVIN JEFFREY ALEXANDER ,  COOPER ROTEM ,  SPINAR BRIAN LEE ,  TREMAINE MICHAEL COLIN

IPC: G06N3/04

CPC classification number: G06N3/049

Abstract: Certain aspects of the present disclosure support techniques for time synchronization of spiking neuron models that utilize multiple nodes. According to certain aspects, a neural model (e.g., of an artificial nervous system) may be implemented using a plurality of processing nodes, each processing node implementing a neuron model and communicating via the exchange of spike packets carrying information regarding spike information for artificial neurons. A mechanism may be provided for maintaining relative spike-timing between the processing nodes. In some cases, a mechanism may also be provided to alleviate deadlock conditions between the multiple nodes.

Abstract translation: 本公开的某些方面支持用于利用多个节点的尖峰神经元模型的时间同步的技术。 根据某些方面，可以使用多个处理节点来实现神经模型（例如，人造神经系统的神经模型），每个处理节点实施神经元模型并且经由交换携带关于人造神经元的尖峰信息的信息的尖峰分组进行通信 。 可以提供一种机制来维持处理节点之间的相对尖峰定时。 在一些情况下，还可以提供一种机制来缓解多个节点之间的死锁状况。

公开(公告)号：WO2015053889A3

公开(公告)日：2015-06-11

申请号：PCT/US2014054510

申请日：2014-09-08

Applicant: QUALCOMM INC

Inventor： RANGAN VENKAT ,  WEGRZYN JAN KRZYS ,  LEVIN JEFFREY ALEXANDER ,  DANIELS JOHN PAUL

IPC: G06N3/04 ,  G06N3/063

CPC classification number: G06F12/02 ,  G06N3/049 ,  G06N3/063

Abstract: Aspects of the present disclosure provide methods and apparatus for allocating memory in an artificial nervous system simulator implemented in hardware. According to certain aspects, memory resource requirements for one or more components of an artificial nervous system being simulated may be determined and portions of a shared memory pool (which may include on-chip and/or off-chip RAM) may be allocated to the components based on the determination.

Abstract translation: 本公开的各方面提供了用于在以硬件实现的人造神经系统模拟器中分配存储器的方法和设备。 根据某些方面，可以确定正被模拟的人造神经系统的一个或多个组件的存储器资源需求，并且可以将共享存储器池（其可以包括片上和/或片外RAM）的部分分配给 基于确定的组件。

公开(公告)号：WO2015023441A2

公开(公告)日：2015-02-19

申请号：PCT/US2014048865

申请日：2014-07-30

Applicant: QUALCOMM INC

Inventor： LEVIN JEFFREY ALEXANDER ,  HUNZINGER JASON FRANK

CPC classification number: G06N3/049 ,  G06N3/04

Abstract: Methods and apparatus are provided for inferring and accounting for missing post-synaptic events (e.g., a post-synaptic spike that is not associated with any pre-synaptic spikes) at an artificial neuron and adjusting spike-timing dependent plasticity (STDP) accordingly. One example method generally includes receiving, at an artificial neuron, a plurality of pre-synaptic spikes associated with a synapse, tracking a plurality of post-synaptic spikes output by the artificial neuron, and determining at least one of the post-synaptic spikes is associated with none of the plurality of pre-synaptic spikes. According to certain aspects, determining inferring missing post-synaptic events may be accomplished by using a flag, counter, or other variable that is updated on post-synaptic firings. If this post-ghost variable changes between pre-synaptic-triggered adjustments, then the artificial nervous system can determine there was a missing post-synaptic pairing.

Abstract translation: 提供了用于在人工神经元上推断和计算丢失的突触后事件（例如，与突触前尖峰不相关的突触后突触）并且相应地调整尖峰定时依赖可塑性（STDP）的方法和装置。 一个示例性方法通常包括在人造神经元处接收与突触相关联的多个突触前尖峰，跟踪由所述人造神经元输出的多个突触后尖峰，以及确定突触后尖峰中的至少一个是 与所述多个突触前尖峰中没有一个相关联。 根据某些方面，确定推断丢失的突触后事件可以通过使用在突触后发射上更新的标志，计数器或其他变量来完成。 如果这个后幻影变量在突触前触发的调整之间变化，那么人造神经系统可以确定失配的突触后配对。