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    Mobile brain-based device for use in a real world environment
    21.
    发明授权
    Mobile brain-based device for use in a real world environment 有权
    用于现实世界环境中的基于移动大脑的设备

    公开(公告)号：US07519452B2

    公开(公告)日：2009-04-14

    申请号：US11105019

    申请日：2005-04-13

    申请人： Anil K. Seth ,  Jeffrey L. McKinstry ,  Gerald M. Edelman ,  Jeffrey L. Krichmar

    发明人： Anil K. Seth ,  Jeffrey L. McKinstry ,  Gerald M. Edelman ,  Jeffrey L. Krichmar

    IPC分类号： G06F15/18 ,  G06N3/00 ,  G06F15/00 ,  G05B19/04

    CPC分类号： G06F15/18 ,  G06F3/015 ,  G06K9/629 ,  G06N3/004 ,  G06N3/049 ,  G16H50/50

    摘要： A mobile brain-based device BBD includes a mobile base equipped with sensors and effectors (Neurally Organized Mobile Adaptive Device or NOMAD), which is guided by a simulated nervous system that is an analogue of cortical and sub-cortical areas of the brain required for visual processing, decision-making, reward, and motor responses. These simulated cortical and sub-cortical areas are reentrantly connected and each area contains neuronal units representing both the mean activity level and the relative timing of the activity of groups of neurons. The brain-based device BBD learns to discriminate among multiple objects with shared visual features, and associated “target” objects with innately preferred auditory cues. Globally distributed neuronal circuits that correspond to distinct objects in the visual field of NOMAD 10 are activated. These circuits, which are constrained by a reentrant neuroanatomy and modulated by behavior and synaptic plasticity, result in successful discrimination of objects. The brain-based device BBD is moveable, in a rich real-world environment involving continual changes in the size and location of visual stimuli due to self-generated or autonomous, movement, and shows that reentrant connectivity and dynamic synchronization provide an effective mechanism for binding the features of visual objects so as to reorganize object features such as color, shape and motion while distinguishing distinct objects in the environment.

    摘要翻译： 基于移动脑的设备BBD包括配备有传感器和效应器（神经有机移动自适应装置或NOMAD）的移动基座，其由模拟神经系统引导，该模拟神经系统是脑的皮质和皮质下皮区域的类似物， 视觉处理，决策，奖励和运动反应。 这些模拟的皮质和皮质区域是可重复连接的，每个区域包含表示神经元组的平均活动水平和相对时间的神经元单位。 基于脑的设备BBD学习使用共享的视觉特征和相关联的“目标”对象与具有本来优选的听觉线索的多个对象之间进行区分。 对应于NOMAD 10的视野中的不同物体的全球分布的神经元电路被激活。 这些由折返性神经解剖学限制并由行为和突触可塑性调节的电路导致对象的成功辨别。 基于大脑的设备BBD可以在丰富的现实环境中移动，包括由于自我生成或自主运动引起的视觉刺激的大小和位置的持续变化，并且表明可重入连接性和动态同步为 绑定视觉对象的特征，以便重新组织对象特征，如颜色，形状和运动，同时区分环境中的不同对象。

    Brian-based device having a cerebellar model for predictive motor control
    22.
    发明申请
    Brian-based device having a cerebellar model for predictive motor control 有权
    具有用于预测电机控制的小脑模型的基于布莱恩的装置

    公开(公告)号：US20070194727A1

    公开(公告)日：2007-08-23

    申请号：US11646930

    申请日：2006-12-27

    申请人： Jeffrey McKinstry ,  Gerald Edelman ,  Jeffrey Krichmar

    发明人： Jeffrey McKinstry ,  Gerald Edelman ,  Jeffrey Krichmar

    IPC分类号： H02P1/54

    CPC分类号： G05B13/04 ,  G05B13/026 ,  G06N3/008 ,  G06N3/049

    摘要： A mobile brain-based device (BBD) includes a mobile platform with sensors and effects, which is guided by a simulated nervous system that is an analogue of the cerebellar areas of the brain used for predictive motor control to determine interaction with a real-world environment. The simulated nervous system has neural areas including precerebellum nuclei (PN), Purkinje cells (PC), deep cerebellar nuclei (DCN) and an inferior olive (IO) for predicting turn and velocity control of the BBD during movement in a real-world environment. The BBD undergoes training and testing, and the simulated nervous system learns and performs control functions, based on a delayed eligibility trace learning rule.

    摘要翻译： 基于移动脑的设备（BBD）包括具有传感器和效果的移动平台，其由模拟神经系统引导，模拟神经系统是用于预测性运动控制的大脑小脑区域的类似物，以确定与真实世界的相互作用 环境。 模拟神经系统具有包括脑前核（PN），浦肯野细胞（PC），深小脑核（DCN）和下橄榄（IO）的神经区域，用于预测在现实环境中运动期间BBD的转向和速度控制 。 BBD经过培训和测试，模拟神经系统基于延迟资格追踪学习规则学习和执行控制功能。

    Discrimination and testing methods and apparatus employing adaptively changing network behavior based on spatial and heterocellular modification rules
    24.
    发明授权
    Discrimination and testing methods and apparatus employing adaptively changing network behavior based on spatial and heterocellular modification rules 失效
    基于空间和异质修饰规则的自适应变化的网络行为的鉴别和测试方法和装置

    公开(公告)号：US5485546A

    公开(公告)日：1996-01-16

    申请号：US873658

    申请日：1992-04-23

    申请人： Allen I. Rubenstein ,  Joseph A. Galley ,  P. Read Montague ,  George N. Reeke

    发明人： Allen I. Rubenstein ,  Joseph A. Galley ,  P. Read Montague ,  George N. Reeke

    IPC分类号： G06N3/04 ,  G06F15/00 ,  G06F15/18

    CPC分类号： G06K9/6253 ,  G06N3/04

    摘要： An apparatus for categorizing objects employs a neural network having a plurality of cells each having memory for storing a state variable, and a plurality of synaptic junctions connecting cells of the network and having memory for storing a synaptic strength variable. A computer is used to modify the synaptic strength variable in accordance with a heterocellular synaptic modification rule. That modification rule includes both the passage of time and the values of the state variables of each cell and of those other cells having specific spatial locations with respect to the cell in three dimensional space.

    摘要翻译： 用于分类对象的装置采用具有多个单元的神经网络，每个单元具有用于存储状态变量的存储器，以及连接网络单元并具有用于存储突触强度变量的存储器的多个突触结。 使用计算机根据异源细胞突触修饰规则修改突触强度变量。 该修改规则既包括时间的流逝，也包括相对于三维空间中的小区，具有每个小区和具有特定空间位置的那些其他小区的状态变量的值。

    Addressing scheme for neural modeling and brain-based devices using special purpose processor
    26.
    发明授权
    Addressing scheme for neural modeling and brain-based devices using special purpose processor 有权
    使用专用处理器的神经建模和基于脑的设备的寻址方案

    公开(公告)号：US08326782B2

    公开(公告)日：2012-12-04

    申请号：US13047434

    申请日：2011-03-14

    申请人： James A. Snook ,  Richard W. Schermerhorn

    发明人： James A. Snook ,  Richard W. Schermerhorn

    IPC分类号： G06N5/00

    CPC分类号： G06F15/7867 ,  G06N3/063 ,  G06N3/10

    摘要： A special purpose processor (SPP) can use a Field Programmable Gate Array (FPGA) to model a large number of neural elements. The FPGAs or similar programmable device can have multiple cores doing presynaptic, postsynaptic, and plasticity calculations in parallel. Each core can implement multiple neural elements of the neural model.

    摘要翻译： 专用处理器（SPP）可以使用现场可编程门阵列（FPGA）对大量神经元进行建模。 FPGA或类似的可编程器件可以具有并行执行突触前，突触后和可塑性计算的多个核心。 每个核心可以实现神经模型的多个神经元素。

    MOBILE BRAIN-BASED DEVICE HAVING A SIMULATED NERVOUS SYSTEM BASED ON THE HIPPOCAMPUS
    27.
    发明申请
    MOBILE BRAIN-BASED DEVICE HAVING A SIMULATED NERVOUS SYSTEM BASED ON THE HIPPOCAMPUS 有权
    具有基于海马的模拟神经系统的基于移动通信的设备

    公开(公告)号：US20110071968A1

    公开(公告)日：2011-03-24

    申请号：US12953880

    申请日：2010-11-24

    申请人： Gerald M. Edelman ,  Jeffrey L. Krichmar ,  Douglas A. Nitz

    发明人： Gerald M. Edelman ,  Jeffrey L. Krichmar ,  Douglas A. Nitz

    IPC分类号： G06N3/02

    CPC分类号： G06N3/08 ,  G05D1/0088 ,  G05D1/0242 ,  G05D1/0246 ,  G05D1/0272 ,  G06N3/004 ,  Y02T10/82

    摘要： A brain-based device (BBD) having a physical mobile device NOMAD controlling and under control by a simulated nervous system. The simulated nervous system is based on an intricate anatomy and physiology of the hippocampus and its surrounding neuronal regions including the cortex. The BBD integrates spatial signals from numerous objects in time and provides flexible navigation solutions to aid in the exploration of unknown environments. As NOMAD navigates in its real world environment, the hippocampus of the simulated nervous system organizes multi-modal input information received from sensors on NOMAD over timescales and uses this organization for the development of spatial and episodic memories necessary for navigation.

    摘要翻译： 具有物理移动设备NOMAD控制并由模拟神经系统控制的基于脑的设备（BBD）。 模拟神经系统基于海马及其周围神经元区域（包括皮质）的复杂解剖学和生理学。 BBD可以及时集成来自众多对象的空间信号，并提供灵活的导航解决方案，以帮助探索未知环境。 随着NOMAD在现实环境中的导航，模拟神经系统的海马组织了通过时间尺度从NOMAD传感器接收到的多模态输入信息，并利用该组织来开发导航所需的空间和情景记忆。

    ADDRESSING SCHEME FOR NEURAL MODELING AND BRAIN-BASED DEVICES USING SPECIAL PURPOSE PROCESSOR
    29.
    发明申请
    ADDRESSING SCHEME FOR NEURAL MODELING AND BRAIN-BASED DEVICES USING SPECIAL PURPOSE PROCESSOR 有权
    使用特殊用途处理器进行神经建模和基于脑的设备的寻址方案

    公开(公告)号：US20100161533A1

    公开(公告)日：2010-06-24

    申请号：US12620405

    申请日：2009-11-17

    申请人： James A. Snook ,  Richard W. Schermerhorn

    发明人： James A. Snook ,  Richard W. Schermerhorn

    IPC分类号： G06N3/063

    CPC分类号： G06F15/7867 ,  G06N3/063 ,  G06N3/10

    摘要： A special purpose processor (SPP) can use a Field Programmable Gate Array (FPGA) to model a large number of neural elements. The FPGAs or similar programmable device can have multiple cores doing presynaptic, postsynaptic, and plasticity calculations in parallel. Each core can implement multiple neural elements of the neural model.

    摘要翻译： 专用处理器（SPP）可以使用现场可编程门阵列（FPGA）对大量神经元进行建模。 FPGA或类似的可编程器件可以具有并行执行突触前，突触后和可塑性计算的多个核心。 每个核心可以实现神经模型的多个神经元素。

    Neural modeling and brain-based devices using special purpose processor
    30.
    发明授权
    Neural modeling and brain-based devices using special purpose processor 有权
    使用专用处理器的神经建模和基于脑的设备

    公开(公告)号：US07533071B2

    公开(公告)日：2009-05-12

    申请号：US11426881

    申请日：2006-06-27

    申请人： James A. Snook ,  Donald B. Hutson ,  Jeffrey L. Krichmar

    发明人： James A. Snook ,  Donald B. Hutson ,  Jeffrey L. Krichmar

    IPC分类号： G06F9/00 ,  A63H17/25

    CPC分类号： G06N3/063 ,  G06N3/10

    摘要： A special purpose processor (SPP) can use a Field Programmable Gate Array (FPGA) or similar programmable device to model a large number of neural elements. The FPGAs can have multiple cores doing presynaptic, postsynaptic, and plasticity calculations in parallel. Each core can implement multiple neural elements of the neural model.

    摘要翻译： 专用处理器（SPP）可以使用现场可编程门阵列（FPGA）或类似的可编程器件对大量的神经元进行建模。 FPGA可以具有多个并行执行突触前，突触后和可塑性计算的核心。 每个核心可以实现神经模型的多个神经元素。