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1. 发明授权

US08583286B2 Hybrid control device 有权
标题翻译：混合控制装置
公开(公告)号：US08583286B2
公开(公告)日：2013-11-12
申请号：US13439702
申请日：2012-04-04
申请人： Jason G. Fleischer , Botond Szatmáry , Donald B. Hutson , Douglas A. Moore , James A. Snook , Gerald M. Edelman , Jeffrey L. Krichmar
发明人： Jason G. Fleischer , Botond Szatmáry , Donald B. Hutson , Douglas A. Moore , James A. Snook , Gerald M. Edelman , Jeffrey L. Krichmar
IPC分类号： G06N3/04 , G05B13/00 , G06E1/00 , G05B15/02
CPC分类号： G06N3/0427 , G05B13/027 , G05B15/02 , G05B2219/39292 , G05B2219/39385 , G06K9/00664
摘要： A brain-based device (BBD) for moving in a real-world environment has sensors that provide data about the environment, actuators to move the BBD, and a hybrid controller which includes a neural controller having a simulated nervous system being a model of selected areas of the human brain and a non-neural controller based on a computational algorithmic network. The neural controller and non-neural controller interact with one another to control movement of the BBD.
摘要翻译：用于在现实环境中移动的基于脑的设备（BBD）具有提供关于环境的数据的传感器，用于移动BBD的致动器，以及包括具有模拟神经系统的神经控制器的混合控制器，所述神经控制器是被选择的模型人脑的区域和基于计算算法网络的非神经控制器。神经控制器和非神经控制器相互作用以控制BBD的运动。

2. 发明申请

US20120209432A1 HYBRID CONTROL DEVICE 有权
标题翻译：混合控制装置
公开(公告)号：US20120209432A1
公开(公告)日：2012-08-16
申请号：US13439702
申请日：2012-04-04
申请人： Jason G. Fleischer , Botond Szatmary , Donald B. Hutson , Douglas A. Moore , James A. Snook , Gerald M. Edelman , Jeffrey L. Krichmar
发明人： Jason G. Fleischer , Botond Szatmary , Donald B. Hutson , Douglas A. Moore , James A. Snook , Gerald M. Edelman , Jeffrey L. Krichmar
IPC分类号： G05B13/00
CPC分类号： G06N3/0427 , G05B13/027 , G05B15/02 , G05B2219/39292 , G05B2219/39385 , G06K9/00664
摘要： A brain-based device (BBD) for moving in a real-world environment has sensors that provide data about the environment, actuators to move the BBD, and a hybrid controller which includes a neural controller having a simulated nervous system being a model of selected areas of the human brain and a non-neural controller based on a computational algorithmic network. The neural controller and non-neural controller interact with one another to control movement of the BBD.
摘要翻译：用于在现实环境中移动的基于脑的设备（BBD）具有提供关于环境的数据的传感器，用于移动BBD的致动器，以及包括具有模拟神经系统的神经控制器的混合控制器，所述神经控制器是被选择的模型人脑的区域和基于计算算法网络的非神经控制器。神经控制器和非神经控制器相互作用以控制BBD的运动。

3. 发明申请

US20110022230A1 HYBRID CONTROL DEVICE 审中-公开
标题翻译：混合控制装置
公开(公告)号：US20110022230A1
公开(公告)日：2011-01-27
申请号：US12842914
申请日：2010-07-23
申请人： Jason G. Fleischer , Botond Szatmary , Donald B. Hutson , Douglas A. Moore , James A. Snook , Gerald M. Edelman , Jeffrey L. Krichmar
发明人： Jason G. Fleischer , Botond Szatmary , Donald B. Hutson , Douglas A. Moore , James A. Snook , Gerald M. Edelman , Jeffrey L. Krichmar
IPC分类号： G05B19/04
CPC分类号： G06N3/0427 , G05B13/027 , G05B15/02 , G05B2219/39292 , G05B2219/39385 , G06K9/00664
摘要： A brain-based device (BBD) for moving in a real-world environment has sensors that provide data about the environment, actuators to move the BBD, and a hybrid controller which includes a neural controller having a simulated nervous system being a model of selected areas of the human brain and a non-neural controller based on a computational algorithmic network. The neural controller and non-neural controller interact with one another to control movement of the BBD.
摘要翻译：用于在现实环境中移动的基于脑的设备（BBD）具有提供关于环境的数据的传感器，用于移动BBD的致动器，以及包括具有模拟神经系统的神经控制器的混合控制器，所述神经控制器是被选择的模型人脑的区域和基于计算算法网络的非神经控制器。神经控制器和非神经控制器相互作用以控制BBD的运动。

4. 发明授权

US07765029B2 Hybrid control device 有权
标题翻译：混合控制装置
公开(公告)号：US07765029B2
公开(公告)日：2010-07-27
申请号：US11530685
申请日：2006-09-11
申请人： Jason G. Fleischer , Botond Szatmary , Donald B. Hutson , Douglas A. Moore , James A. Snook , Gerald M. Edelman , Jeffrey L. Krichmar
发明人： Jason G. Fleischer , Botond Szatmary , Donald B. Hutson , Douglas A. Moore , James A. Snook , Gerald M. Edelman , Jeffrey L. Krichmar
IPC分类号： G06N3/02 , G05B13/00 , G06F19/00 , G06E1/00
CPC分类号： G06N3/0427 , G05B13/027 , G05B15/02 , G05B2219/39292 , G05B2219/39385 , G06K9/00664
摘要： A brain-based device (BBD) for moving in a real-world environment has sensors that provide data about the environment, actuators to move the BBD, and a hybrid controller which includes a neural controller having a simulated nervous system being a model of selected areas of the human brain and a non-neural controller based on a computational algorithmic network. The neural controller and non-neural controller interact with one another to control movement of the BBD.
摘要翻译：用于在现实环境中移动的基于脑的设备（BBD）具有提供关于环境的数据的传感器，用于移动BBD的致动器，以及包括具有模拟神经系统的神经控制器的混合控制器，所述神经控制器是被选择的模型人脑的区域和基于计算算法网络的非神经控制器。神经控制器和非神经控制器相互作用以控制BBD的运动。

5. 发明授权

US08473436B2 Neural segmentation of an input signal and applications using simulated neurons, and a phase modulator 有权
标题翻译：输入信号的神经分割和使用模拟神经元的应用，以及相位调制器
公开(公告)号：US08473436B2
公开(公告)日：2013-06-25
申请号：US12621243
申请日：2009-11-18
申请人： Douglas A. Moore , Kristi H. Tsukida , Paulo B. Ang
发明人： Douglas A. Moore , Kristi H. Tsukida , Paulo B. Ang
IPC分类号： G06E1/00
CPC分类号： G10L17/18 , G10L15/16
摘要： Disclosed are systems, methods, and computer-program products for segmenting content of an input signal and applications thereof. In an embodiment, the system includes simulated neurons, a phase modulator, and an entity-identifier module. Each simulated neuron is connected to one or more other simulated neurons and is associated with an activity and a phase. The activity and the phase of each simulated neuron is set based on the activity and the phase of the one or more other simulated neurons connected to each simulated neuron. The phase modulator includes individual modulators, each configured to modulate the activity and the phase of each of the plurality of simulated neurons based on a modulation function. The entity-identifier module is configured to identify one or more distinct entities (e.g., objects, sound sources, etc.) included in the input signal based on the one or more distinct collections of simulated neurons that have substantially distinct phases.
摘要翻译：公开了用于分割输入信号的内容的系统，方法和计算机程序产品及其应用。在一个实施例中，系统包括模拟神经元，相位调制器和实体标识符模块。每个模拟神经元连接到一个或多个其他模拟神经元，并与活动和相位相关联。基于与每个模拟神经元连接的一个或多个其他模拟神经元的活动和相位设置每个模拟神经元的活动和相位。相位调制器包括单个调制器，每个调制器被配置为基于调制功能来调制多个模拟神经元中的每一个的活动和相位。实体标识符模块被配置为基于具有基本上不同相位的模拟神经元的一个或多个不同集合来识别包括在输入信号中的一个或多个不同实体（例如，对象，声源等）。

6. 发明授权

US08543526B2 Systems and methods using neural networks to reduce noise in audio signals 有权
标题翻译：使用神经网络来减少音频信号噪声的系统和方法
公开(公告)号：US08543526B2
公开(公告)日：2013-09-24
申请号：US12883313
申请日：2010-09-16
申请人： Douglas A. Moore
发明人： Douglas A. Moore
IPC分类号： G06F15/00 , G06F17/00 , G06N3/10
CPC分类号： G06N3/049
摘要： Systems, methods, and computer program products are provided to provide noise reduction for an input signal using a neural network. A feed-forward set of neuron groups is provided to enhance neuron activity within a particular frequency band based on prior reception of activity within that frequency band, and also to attenuate surrounding frequency bands. A surround-inhibition set of neuron groups further attenuates activity surrounding the stimulated frequency band.
摘要翻译：提供系统，方法和计算机程序产品，以使用神经网络为输入信号提供降噪。基于先前接收该频带内的活动，提供前馈神经元组，以增强特定频带内的神经元活动，并且还能衰减周围的频带。环绕抑制组的神经元组进一步衰减了受激频带周围的活动。

7. 发明授权

US09120233B2 Non-contact optical distance and tactile sensing system and method 有权
标题翻译：非接触式光学距离和触觉感应系统及方法
公开(公告)号：US09120233B2
公开(公告)日：2015-09-01
申请号：US13485691
申请日：2012-05-31
申请人： Douglas A. Moore
发明人： Douglas A. Moore
IPC分类号： B25J13/08 , B25J15/10
CPC分类号： B25J13/08 , B25J13/084 , B25J13/086 , B25J15/10 , Y10S901/31 , Y10S901/33 , Y10S901/35 , Y10S901/46
摘要： The systems and methods are directed to mechanical arms and manipulators, and more particularly, to optical distance sensors in use for approach, grasping and manipulation. The system may include a manipulator having an arm and a multi fingered end-effector coupled to the distal end of the arm. The end-effector may include an optical proximity sensor configured to detect the distance to an object prior to contact with the object. The end-effector may include an optical proximity sensor configured detect a measurement of force applied to the object by the manipulator post contact with the object. The measurement of force may be a range of force measurements including a minimum, a maximum and a measurement between or within the minimum and the maximum.
摘要翻译：系统和方法涉及机械臂和操纵器，更具体地，涉及用于接近，抓握和操纵的光学距离传感器。该系统可以包括操纵器，其具有联接到臂的远端的臂和多指末端执行器。末端执行器可以包括配置成在与物体接触之前检测到物体的距离的光学接近传感器。末端执行器可以包括光学接近传感器，其配置为检测通过与物体接触的操纵器施加到物体的力的测量。力的测量可以是力测量的范围，包括在最小值和最大值之间或之内的最小值，最大值和测量值。

8. 发明申请

US20130325181A1 NON-CONTACT OPTICAL DISTANCE AND TACTILE SENSING SYSTEM AND METHOD 有权
标题翻译：非接触式光学距离和触觉传感系统及方法
公开(公告)号：US20130325181A1
公开(公告)日：2013-12-05
申请号：US13485691
申请日：2012-05-31
申请人： Douglas A. Moore
发明人： Douglas A. Moore
IPC分类号： B25J13/08 , B25J19/04 , B25J15/08 , B25J19/02
CPC分类号： B25J13/08 , B25J13/084 , B25J13/086 , B25J15/10 , Y10S901/31 , Y10S901/33 , Y10S901/35 , Y10S901/46
摘要： The systems and methods are directed to mechanical arms and manipulators, and more particularly, to optical distance sensors in use for approach, grasping and manipulation. The system may include a manipulator having an arm and a multi fingered end-effector coupled to the distal end of the arm. The end-effector may include an optical proximity sensor configured to detect the distance to an object prior to contact with the object. The end-effector may include an optical proximity sensor configured detect a measurement of force applied to the object by the manipulator post contact with the object. The measurement of force may be a range of force measurements including a minimum, a maximum and a measurement between or within the minimum and the maximum.
摘要翻译：系统和方法涉及机械臂和操纵器，更具体地，涉及用于接近，抓握和操纵的光学距离传感器。该系统可以包括操纵器，其具有联接到臂的远端的臂和多指末端执行器。末端执行器可以包括配置成在与物体接触之前检测到物体的距离的光学接近传感器。末端执行器可以包括光学接近传感器，其配置为检测通过与物体接触的操纵器施加到物体的力的测量。力的测量可以是力测量的范围，包括在最小值和最大值之间或之内的最小值，最大值和测量值。

9. 发明授权

US09183494B2 Competitive BCM learning rule for identifying features 有权
标题翻译：用于识别特征的竞争性BCM学习规则
公开(公告)号：US09183494B2
公开(公告)日：2015-11-10
申请号：US12853939
申请日：2010-08-10
申请人： Douglas A. Moore
发明人： Douglas A. Moore
IPC分类号： G06N3/08 , G06N3/10
CPC分类号： G06N3/08 , G06N3/10
摘要： Disclosed are systems, apparatuses, and methods for implementing a competitive BCM learning rule used in a neural network. Such a method includes identifying a maximally responding neuron with respect to a feature of an input signal. The maximally responding neuron is the neuron in a group that has a response with respect to the feature of the input signal that is greater than a response of each other neuron in the group. Such a method also includes applying a learning rule to weaken the response of each other neuron with respect to the feature of the input signal. The learning rule may also strengthen the response of the maximally responding neuron with respect to the feature of the input signal.
摘要翻译：公开了用于实现在神经网络中使用的竞争性BCM学习规则的系统，装置和方法。这种方法包括针对输入信号的特征识别最大响应的神经元。最大响应的神经元是一组中具有对输入信号的特征的响应的组中的神经元，该响应大于组中彼此神经元的响应。这种方法还包括应用学习规则来削弱彼此神经元相对于输入信号的特征的响应。学习规则还可以加强对于输入信号特征的最大响应神经元的响应。

10. 发明授权

US08756265B1 Audio filter bank design 失效
标题翻译：音频滤波器组设计
公开(公告)号：US08756265B1
公开(公告)日：2014-06-17
申请号：US13097633
申请日：2011-04-29
申请人： Shalom Halevy , Douglas A. Moore
发明人： Shalom Halevy , Douglas A. Moore
IPC分类号： G06F17/10
CPC分类号： H03H17/0258 , H03H17/0266
摘要： A system, method, and computer program product are provided for reducing ripple in a filter bank. For a given fixed number of linearly-spaced filters in the filter bank, a monotonically increasing function for a Q-factor is specified for the filter bank. Adjustments to each filter's Q-factor based on the Q-factor function are made in order to produce a nearly constant filter bank ripple throughout the filter bank's frequency response range.
摘要翻译：提供了一种用于减少滤波器组中的纹波的系统，方法和计算机程序产品。对于滤波器组中给定的固定数量的线性间隔滤波器，为滤波器组指定了用于Q因子的单调递增函数。基于Q因子函数对每个滤波器的Q因子进行调整，以便在滤波器组的频率响应范围内产生几乎恒定的滤波器组纹波。

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