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11. 发明申请

WO2014062276A2 VEHICLE CAPABLE OF STABILIZING A PAYLOAD WHEN IN MOTION 审中-公开
标题翻译：在运动中稳定付款的车辆能力
公开(公告)号：WO2014062276A2
公开(公告)日：2014-04-24
申请号：PCT/US2013/053006
申请日：2013-07-31
申请人： NEUROSCIENCES RESEARCH FOUNDATION, INC.
发明人： HUTSON, Donald B.
IPC分类号： B64D9/00 , B64C27/08 , B64C27/54 , B64C25/36
CPC分类号： B64D47/08 , B64C27/006 , B64C27/10 , B64C27/20 , B64C39/024 , B64C2025/325 , B64C2201/024 , B64C2201/042 , B64C2201/066 , B64C2201/108 , B64C2201/121 , B64C2201/126 , B64C2201/127 , B64C2201/182 , B64D9/00 , F16M11/123 , F16M11/18 , F16M13/00 , F16M13/02 , F16M2200/041
摘要： In specific embodiments, a vehicle propellable through fluids comprises a main work section and a plurality of propulsion units. The main work section includes a payload support hub, a payload support structure rotatable in 360 about the payload support hub in at least one axis, and a core including at least one microprocessor, the core at least partially nested within the payload support hub. The at least one microprocessor is adapted to substantially maintain an orientation of the payload support structure relative to a horizon line as the vehicle is propelled. One or more payloads are mountable on the rotatable payload support structure.
摘要翻译：在具体实施例中，通过流体推进的车辆包括主工作部分和多个推进单元。主工作部分包括有效载荷支撑集线器，有效载荷支撑结构，其在至少一个轴线上围绕有效载荷支撑轮毂360可旋转，以及包括至少一个微处理器的核心，所述核心至少部分地嵌套在有效载荷支撑轮毂内。所述至少一个微处理器适于当车辆被推进时基本上保持有效载荷支撑结构相对于水平线的取向。一个或多个有效载荷可安装在可旋转的有效载荷支撑结构上。

12. 发明申请

WO2005106762A2 MOBILE BRAIN-BASED DEVICE FOR USE IN A REAL WORLD ENVIRONMENT 审中-公开
标题翻译：用于实际世界环境的基于移动电脑的设备
公开(公告)号：WO2005106762A2
公开(公告)日：2005-11-10
申请号：PCT/US2005/012541
申请日：2005-04-14
申请人： NEUROSCIENCES RESEARCH FOUNDATION, INC. , SETH, Anil, K. , MCKINSTRY, Jeffrey, L. , EDELMAN, Gerald, M. , KRICHMAR, Jeffrey, L.
发明人： SETH, Anil, K. , MCKINSTRY, Jeffrey, L. , EDELMAN, Gerald, M. , KRICHMAR, Jeffrey, L.
IPC分类号： G06F19/00
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，该模拟神经系统是大脑所需的皮层和皮质下皮质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不断变化，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。

13. 发明申请

WO1991006055A1 CATEGORIZATION AUTOMATA EMPLOYING NEURONAL GROUP SELECTION WITH REENTRY 审中-公开
标题翻译：分类自动化使用神经选择组合选择
公开(公告)号：WO1991006055A1
公开(公告)日：1991-05-02
申请号：PCT/US1990005868
申请日：1990-10-10
申请人： NEUROSCIENCES RESEARCH FOUNDATION, INC.
发明人： NEUROSCIENCES RESEARCH FOUNDATION, INC. , EDELMAN, Gerald, M. , REEKE, George, N., Jr.
IPC分类号： G06F15/18
CPC分类号： G06K9/6267 , G06N3/04
摘要： An apparatus capable of sensing the presence of objects in its environment, categorizing these objects without a prior description of the categories to be expected, and controlling robotic effector mechanisms to respond differentially to such objects according to their categories. Such responses include sorting objects, rejecting objects of certain types, and detecting novel or deviant objects. The invention includes a device called a 'classification n-tuple' (of which a 'classification couple' is a special case) capable of combining signals from two or more sensory modalities to arrive at the classification of an object.

14. 发明申请

WO2008083335A2 SOLVING THE DISTAL REWARD PROBLEM THROUGH LINKAGE OF STDP AND DOPAMINE SIGNALING 审中-公开
标题翻译：通过STDP和DOPAMINE信号的链接解决远程问题
公开(公告)号：WO2008083335A2
公开(公告)日：2008-07-10
申请号：PCT/US2007/089129
申请日：2007-12-28
申请人： NEUROSCIENCES RESEARCH FOUNDATION, INC. , IZHIKEVICH, Eugene, M.
发明人： IZHIKEVICH, Eugene, M.
IPC分类号： G06N3/08
CPC分类号： G06N3/049 , G06N3/02 , G06N3/063 , G06N3/0635 , G06N99/005
摘要： In Pavlovian and instrumental conditioning, rewards typically come seconds after reward-triggering actions, creating an explanatory conundrum known as the distal reward problem or the credit assignment problem. How does the brain know what firing patterns of what neurons are responsible for the reward if (1) the firing patterns are no longer there when the reward arrives and (2) most neurons and synapses are active during the waiting period to the reward? A model network and computer simulation of cortical spiking neurons with spike-timing-dependent plasticity (STDP) modulated by dopamine (DA) is disclosed to answer this question. STDP is triggered by nearly-coincident firing patterns of a presynaptic neuron and a postsynaptic neuron on a millisecond time scale, with slow kinetics of subsequent synaptic plasticity being sensitive to changes in the extracellular dopamine DA concentration during the critical period of a few seconds after the nearly-coincident firing patterns. Random neuronal firings during the waiting period leading to the reward do not affect STDP, and hence make the neural network insensitive to this ongoing random firing activity. The importance of precise firing patterns in brain dynamics and the use of a global diffusive reinforcement signal in the form of extracellular dopamine DA can selectively influence the right synapses at the right time.
摘要翻译：在巴甫洛夫和工具条件下，奖励通常会在奖励触发动作之后几秒钟，创造一个被称为远程奖励问题或信用分配问题的解释性难题。如果（1）当奖励到达时，射击模式不再在那里，（2）大多数神经元和突触在等待期间是活跃的，大脑如何知道什么是神经元对于奖励的触发模式？披露了由多巴胺（DA）调制的具有刺激时间依赖性可塑性（STDP）的皮层加标神经元的模型网络和计算机模拟来回答这个问题。 STDP在几毫秒的时间尺度上由突触前神经元和突触后神经元的几乎一致的发射模式触发，随后的突触可塑性的缓慢动力学对于在数秒后的几秒的关键时期内对细胞外多巴胺DA浓度的变化敏感几乎一致的射击模式。导致奖励的等待期间的随机神经元激发不会影响STDP，因此使神经网络对这种持续的随机射击活动不敏感。精确射击模式在脑动力学中的重要性以及以细胞外多巴胺DA的形式使用全局扩散加强信号的选择可以选择性地在正确的时间影响右侧突触。

15. 发明申请

WO2007076516A2 BRAIN-BASED DEVICE HAVING A CEREBELLAR MODEL FOR PREDICTIVE MOTOR CONTROL 审中-公开
标题翻译：具有用于预测电动机控制的CEREBELLAR模型的基于BRAIN的装置
公开(公告)号：WO2007076516A2
公开(公告)日：2007-07-05
申请号：PCT/US2006/062634
申请日：2006-12-27
申请人： NEUROSCIENCES RESEARCH FOUNDATION, INC. , MCKINSKY, Jeffrey, L. , EDELMAN, Gerald, M. , KRICHMAR, Jeffrey, L.
发明人： MCKINSKY, Jeffrey, L. , EDELMAN, Gerald, M. , KRICHMAR, Jeffrey, L.
IPC分类号： G06F19/00
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运动控制的大脑小脑区域的类似物，以确定与真实世界的交互环境。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，模拟神经系统根据延迟资格追踪学习规则学习和执行控制功能。

16. 发明申请

WO2007002790A3 NEURAL MODELING AND BRAIN-BASED DEVICES USING SPECIAL PURPOSE PROCESSOR 审中-公开
公开(公告)号：WO2007002790A3
公开(公告)日：2007-01-04
申请号：PCT/US2006/025264
申请日：2006-06-28
申请人： NEUROSCIENCES RESEARCH FOUNDATION, INC. , SNOOK, James, A. , HUTSON, Donald, B. , KRICHMAR, Jeffrey, L.
发明人： SNOOK, James, A. , HUTSON, Donald, B. , KRICHMAR, Jeffrey, L.
IPC分类号： G06F15/18 , G06J1/00 , G06N3/00
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.

17. 发明申请

WO2002059370A3 METHODS FOR IDENTIFYING COMPOUNDS THAT MODULATE DISORDERS RELATED TO NITRIC OXIDE/CGMP-DEPENDENT PROTEIN KINASE SIGNALING 审中-公开
公开(公告)号：WO2002059370A3
公开(公告)日：2002-08-01
申请号：PCT/US2001/048087
申请日：2001-12-13
申请人： NEUROSCIENCES RESEARCH FOUNDATION, INC. , GREENSPAN, Ralph, J. , SHAW, Paul, J.
发明人： GREENSPAN, Ralph, J. , SHAW, Paul, J.
IPC分类号： G01N33/50
摘要： The invention provides a method of identifying a compound that modulates a disease associated with a nitric oxide/cGMP-dependent protein kinase network in a mammal. The method consists of (a) ad ministering a test compound to an invertebrate; and (b) measuring a foraging behavior of the invertebrate, wherein a compound that modulates the foraging behavior of the invertebrate is characterized as a compound that modulates a disease associated with a nitric oxide/cGMP-dependent protein kinase network in a mammal.

18. 发明公开

EP2879952A2 VEHICLE CAPABLE OF STABILIZING A PAYLOAD WHEN IN MOTION 无效
标题翻译： WITH可能性镇定的有效载荷在运动车辆
公开(公告)号：EP2879952A2
公开(公告)日：2015-06-10
申请号：EP13846578.6
申请日：2013-07-31
申请人： Neurosciences Research Foundation, Inc.
发明人： HUTSON, Donald B.
IPC分类号： B64C25/36
CPC分类号： B64D47/08 , B64C27/006 , B64C27/10 , B64C27/20 , B64C39/024 , B64C2025/325 , B64C2201/024 , B64C2201/042 , B64C2201/066 , B64C2201/108 , B64C2201/121 , B64C2201/126 , B64C2201/127 , B64C2201/182 , B64D9/00 , F16M11/123 , F16M11/18 , F16M13/00 , F16M13/02 , F16M2200/041
摘要： In specific embodiments, a vehicle propellable through fluids comprises a main work section and a plurality of propulsion units. The main work section includes a payload support hub, a payload support structure rotatable in 360 about the payload support hub in at least one axis, and a core including at least one microprocessor, the core at least partially nested within the payload support hub. The at least one microprocessor is adapted to substantially maintain an orientation of the payload support structure relative to a horizon line as the vehicle is propelled. One or more payloads are mountable on the rotatable payload support structure.

19. 发明授权

EP0495901B1 CATEGORIZATION AUTOMATA EMPLOYING NEURONAL GROUP SELECTION WITH REENTRY 失效
标题翻译：范畴化机器人，具有RE-ENTRY神经元组的选择USED
公开(公告)号：EP0495901B1
公开(公告)日：2001-01-03
申请号：EP90916136.6
申请日：1990-10-10
申请人： NEUROSCIENCES RESEARCH FOUNDATION, INC.
发明人： EDELMAN, Gerald, M. , REEKE, George, N., Jr.
IPC分类号： G06F15/18 , B25J9/16
CPC分类号： G06K9/6267 , G06N3/04

20. 发明公开

EP0565613A1 APPARATUS CAPABLE OF FIGURE-GROUND SEGREGATION 失效
标题翻译：器件非常适合对象背景分离。
公开(公告)号：EP0565613A1
公开(公告)日：1993-10-20
申请号：EP92903622.0
申请日：1991-12-30
申请人： NEUROSCIENCES RESEARCH FOUNDATION, INC.
发明人： EDELMAN, Gerald, M. , SPORNS, Olaf , TONONI, Giulio
IPC分类号： G06F15 , G06N3 , G06T7
CPC分类号： G06T7/20 , G06N3/049
摘要： Appareil effectuant une segmentation de scènes visuelles en objets discrets. L'appareil est capable de grouper par perception les éléments correspondant à une forme cohérente (A) (1) et il peut les distinguer du fond (3) ou d'une autre forme (B). On utilise une signalisation rentrante parmi des groupes neuronaux (9) rythmiquement actifs afin de mettre en corrélation des réponses le long de contours s'étendant dans l'espace. L'efficacité des connexions peut changer sur une échelle de temps rapide, ce qui a pour résultat des connexions rentrantes actives amplifiant les corrélations parmi des groupes neuronaux (9), et assure la segmentation voulue.

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