公开(公告)号：US20060268986A1

公开(公告)日：2006-11-30

申请号：US11416171

申请日：2006-05-03

Applicant: Rodolphe Heliot ,  Dominique David ,  Bernard Espiau ,  Roger Pissard-Gibollet

Inventor： Rodolphe Heliot ,  Dominique David ,  Bernard Espiau ,  Roger Pissard-Gibollet

IPC: H04N11/02

CPC classification number: A61B5/1116 ,  A61B5/1123 ,  A61B5/7203 ,  A61B5/726 ,  A61B2503/10

Abstract: Process for estimating the motion phase of an object The process comprises acquisition of experimental data from measurements of physical quantities by means of at least one sensor associated to the object. The process comprises a first reliable estimation of a first range of values with a first method. The process comprises at least one additional estimation of an additional range of values with a different method. The methods each present a predetermined reliability. The ranges of values are successively observed in order of decreasing reliability of the corresponding methods. Each additional range of values is compared with the range of values corresponding to the previous method according to said order. The additional range is chosen as result when the additional range is comprised in the range corresponding to one of the previous methods.

Abstract translation: 用于估计对象的运动相位的过程该过程包括通过至少一个与物体相关联的传感器从物理量的测量中获取实验数据。 该过程包括利用第一种方法对第一范围值的第一可靠估计。 该过程包括使用不同方法的附加值范围的至少一个附加估计。 这些方法各自呈现预定的可靠性。 按照相应方法的可靠性降低的顺序依次观察值的范围。 将每个附加范围的值与根据所述顺序的先前方法的值的范围进行比较。 当附加范围包括在与之前的方法之一相对应的范围内时，选择附加范围作为结果。

公开(公告)号：US20130185237A1

公开(公告)日：2013-07-18

申请号：US13549990

申请日：2012-07-16

Applicant: Rodolphe HELIOT ,  Marc Duranton ,  Antoine Joubert

Inventor： Rodolphe HELIOT ,  Marc Duranton ,  Antoine Joubert

IPC: G06N3/02

CPC classification number: G06N3/02 ,  G06N3/063

Abstract: A neuromorphic data processing device comprising a plurality of spiking neurons, with each of these neurons comprising: an integrator designed to receive successive analogue pulses each having a certain value, and accumulate the values of the pulses received in a recorded value, referred to as accumulation value, and a discharger designed to emit a pulse, referred to as discharge pulse, according to the accumulation value, and a silicon support having two surfaces, the neurons being carried out on at least one of the two surfaces, the integrator of each neuron comprising a metal via of the TSV type between the two surfaces of the silicon support, the metal via of the TSV type forming a capacitor with the silicon support and having an electric potential forming the accumulation value wherein the values of the pulses received are accumulated and according to which the discharge pulse is emitted.

Abstract translation: 包括多个尖峰神经元的神经形态数据处理装置，其中每个神经元包括：积分器，被设计为接收每个具有一定值的连续的模拟脉冲，并且将记录值中接收的脉冲的值累加，称为累加 值和放电器，其被设计为根据累积值发射称为放电脉冲的脉冲，以及具有两个表面的硅支座，神经元在两个表面中的至少一个表面上执行，每个神经元的积分器 包括在硅支撑体的两个表面之间的TSV型的金属通孔，TSV型的金属通孔与硅支撑体形成电容器，并具有形成累积值的电位，其中所接收的脉冲的值被累积， 根据该放电脉冲发射。

公开(公告)号：US20090281462A1

公开(公告)日：2009-11-12

申请号：US12513986

申请日：2007-11-13

Applicant: Rodolphe Heliot ,  Christine Azevedo-Coste

Inventor： Rodolphe Heliot ,  Christine Azevedo-Coste

IPC: A61B5/103

CPC classification number: A61B5/1038 ,  G16H50/50

Abstract: A system including a sensor measuring a position of movement, an artificial controller converting the signals from the sensor into state variables of full movement, correlated with a reference model, by performing continual adjustments for estimating these variables directly drawn from the signals of the sensor by results drawn from the reference model. The control which is then provided for completing the movement has good synchronization with the portion accomplished without assistance from the system. Such a system may find application for reproducing or completing the walking of a person with a disabled leg.

Abstract translation: 包括测量移动位置的传感器的传感器，将来自传感器的信号转换为全动态状态变量的人造控制器与参考模型相关联，通过连续调整来估计从传感器的信号直接绘制的这些变量， 从参考模型中得出的结果。 然后提供用于完成移动的控制与在没有系统协助的情况下完成的部分具有良好的同步性。 这样的系统可以找到用于再现或完成具有残疾腿的人的行走的申请。

公开(公告)号：US09171248B2

公开(公告)日：2015-10-27

申请号：US13991872

申请日：2011-11-29

Applicant: Rodolphe Heliot ,  Marc Belleville ,  Sigrid Thomas

Inventor： Rodolphe Heliot ,  Marc Belleville ,  Sigrid Thomas

IPC: G06F15/18 ,  G06N3/04 ,  G06N3/063

CPC classification number: G06N3/04 ,  G06N3/063

Abstract: Neuromorphic circuits are multi-cell networks configured to imitate the behavior of biological neural networks. A neuromorphic circuit is provided which comprises a network of neurons each identified by a neuron address in the network, each neuron being able to receive and process at least one input signal and then later emit on an output of the neuron a signal representing an event which occurs inside the neuron, and a programmable memory composed of elementary memories each associated with a respective neuron. The elementary memory, which is a memory of post-synaptic addresses and weights, comprises an activation input linked by a conductor to the output of the associated neuron to directly receive an event signal emitted by this neuron without passing through an address encoder or decoder. The post-synaptic addresses extracted from an elementary memory activated by a neuron are applied, with associated synaptic weights, as inputs to the neural network.

Abstract translation: 神经元电路是被配置为模仿生物神经网络的行为的多细胞网络。 提供神经形态电路，其包括每个由网络中的神经元地址识别的神经元网络，每个神经元能够接收和处理至少一个输入信号，然后在神经元的输出上发射表示事件的信号， 发生在神经元内部，以及可编程存储器，其由每个与相应神经元相关联的基本存储器组成。 作为突触后地址和权重的存储器的基本存储器包括由导体链接到相关神经元的输出的激活输入，以直接接收由该神经元发射的事件信号而不通过地址编码器或解码器。 从由神经元激活的基本记忆提取的突触前地址以相关的突触权重作为神经网络的输入。

公开(公告)号：US20130262358A1

公开(公告)日：2013-10-03

申请号：US13991872

申请日：2011-11-29

Applicant: Rodolphe Heliot ,  Marc Belleville ,  Sigrid Thomas

Inventor： Rodolphe Heliot ,  Marc Belleville ,  Sigrid Thomas

IPC: G06N3/04

CPC classification number: G06N3/04 ,  G06N3/063

Abstract: Neuromorphic circuits are multi-cell networks configured to imitate the behavior of biological neural networks. A neuromorphic circuit is provided which comprises a network of neurons each identified by a neuron address in the network, each neuron being able to receive and process at least one input signal and then later emit on an output of the neuron a signal representing an event which occurs inside the neuron, and a programmable memory composed of elementary memories each associated with a respective neuron. The elementary memory, which is a memory of post-synaptic addresses and weights, comprises an activation input linked by a conductor to the output of the associated neuron to directly receive an event signal emitted by this neuron without passing through an address encoder or decoder. The post-synaptic addresses extracted from an elementary memory activated by a neuron are applied, with associated synaptic weights, as inputs to the neural network.

Abstract translation: 神经元电路是被配置为模仿生物神经网络的行为的多细胞网络。 提供神经形态电路，其包括每个由网络中的神经元地址识别的神经元网络，每个神经元能够接收和处理至少一个输入信号，然后在神经元的输出上发出一个表示事件的信号， 发生在神经元内部，以及可编程存储器，其由每个与相应神经元相关联的基本存储器组成。 作为突触后地址和权重的存储器的基本存储器包括由导体链接到相关神经元的输出的激活输入，以直接接收由该神经元发射的事件信号而不通过地址编码器或解码器。 从由神经元激活的基本记忆提取的突触前地址以相关的突触权重作为神经网络的输入。

公开(公告)号：US07249001B2

公开(公告)日：2007-07-24

申请号：US11416171

申请日：2006-05-03

Applicant: Rodolphe Heliot ,  Dominique David ,  Bernard Espiau ,  Roger Pissard-Gibollet

Inventor： Rodolphe Heliot ,  Dominique David ,  Bernard Espiau ,  Roger Pissard-Gibollet

IPC: G06F17/10 ,  G06F17/00 ,  G06F17/40 ,  G06F19/00

CPC classification number: A61B5/1116 ,  A61B5/1123 ,  A61B5/7203 ,  A61B5/726 ,  A61B2503/10

Abstract: The process comprises acquisition of experimental data from measurements of physical quantities by means of at least one sensor associated to the object. The process comprises a first reliable estimation of a first range of values with a first method. The process comprises at least one additional estimation of an additional range of values with a different method. The methods each present a predetermined reliability. The ranges of values are successively observed in order of decreasing reliability of the corresponding methods. Each additional range of values is compared with the range of values corresponding to the previous method according to said order. The additional range is chosen as result when the additional range is comprised in the range corresponding to one of the previous methods.

Abstract translation: 该过程包括通过与物体相关联的至少一个传感器从物理量的测量中获取实验数据。 该过程包括利用第一种方法对第一范围值的第一可靠估计。 该过程包括使用不同方法的附加值范围的至少一个附加估计。 这些方法各自呈现预定的可靠性。 按照相应方法的可靠性降低的顺序连续观察值的范围。 将每个附加范围的值与根据所述顺序的先前方法的值的范围进行比较。 当附加范围包括在与之前的方法之一相对应的范围内时，选择附加范围作为结果。

公开(公告)号：US08909577B2

公开(公告)日：2014-12-09

申请号：US13549990

申请日：2012-07-16

Applicant: Rodolphe Heliot ,  Marc Duranton ,  Antoine Joubert

Inventor： Rodolphe Heliot ,  Marc Duranton ,  Antoine Joubert

IPC: G06F15/18 ,  G06J1/00 ,  G06N3/00 ,  G06G7/00 ,  G06N3/02 ,  G06N3/063

CPC classification number: G06N3/02 ,  G06N3/063

Abstract: A neuromorphic data processing device comprising a plurality of spiking neurons, with each of these neurons comprising: an integrator designed to receive successive analog pulses each having a certain value, and accumulate the values of the pulses received in a recorded value, referred to as accumulation value, and a discharger designed to emit a pulse, referred to as discharge pulse, according to the accumulation value, and a silicon support having two surfaces, the neurons being carried out on at least one of the two surfaces, the integrator of each neuron comprising a metal via of the TSV type between the two surfaces of the silicon support, the metal via of the TSV type forming a capacitor with the silicon support and having an electric potential forming the accumulation value wherein the values of the pulses received are accumulated and according to which the discharge pulse is emitted.

Abstract translation: 包括多个尖峰神经元的神经形态数据处理装置，其中每个神经元包括：积分器，被设计为接收每个具有一定值的连续的模拟脉冲，并且将记录值中接收的脉冲的值累加，称为累积 值和放电器，其被设计为根据累积值发射称为放电脉冲的脉冲，以及具有两个表面的硅支座，神经元在两个表面中的至少一个表面上执行，每个神经元的积分器 包括在硅支撑体的两个表面之间的TSV型的金属通孔，TSV型的金属通孔与硅支撑体形成电容器，并具有形成累积值的电势，其中所接收的脉冲的值被累积， 根据该放电脉冲发射。