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1. 发明授权

US09449270B2 Implementing structural plasticity in an artificial nervous system 有权
标题翻译：在人造神经系统中实施结构可塑性
公开(公告)号：US09449270B2
公开(公告)日：2016-09-20
申请号：US14157143
申请日：2014-01-16
申请人： QUALCOMM Incorporated , Nina Marcos
发明人： Jason Frank Hunzinger , Michael-David Nakayoshi Canoy , Paul Edward Bender , Victor Hokkiu Chan , Gina Marcela Escobar Mora
IPC分类号： G06F15/18 , G06N3/08 , G06N3/04
CPC分类号： G06N3/04 , G06N3/049 , G06N3/08 , G06N3/082
摘要： Methods and apparatus are provided for implementing structural plasticity in an artificial nervous system. One example method for altering a structure of an artificial nervous system generally includes determining a synapse in the artificial nervous system for reassignment, determining a first artificial neuron and a second artificial neuron for connecting via the synapse, and reassigning the synapse to connect the first artificial neuron with the second artificial neuron. Another example method for operating an artificial nervous system, generally includes determining a synapse in the artificial nervous system for assignment; determining a first artificial neuron and a second artificial neuron for connecting via the synapse, wherein at least one of the synapse or the first and second artificial neurons are determined randomly or pseudo-randomly; and assigning the synapse to connect the first artificial neuron with the second artificial neuron.
摘要翻译：提供了在人造神经系统中实现结构可塑性的方法和装置。用于改变人造神经系统的结构的一个示例性方法通常包括确定用于重新分配的人造神经系统中的突触，确定第一人造神经元和第二人造神经元以经由突触连接，以及重新分配突触以连接第一人工神经元神经元与第二个人造神经元。用于操作人造神经系统的另一示例性方法通常包括确定用于分配的人造神经系统中的突触; 确定经由所述突触连接的第一人造神经元和第二人造神经元，其中所述突触或所述第一和第二人造神经元中的至少一个被随机地或伪随机地确定; 并分配突触将第一人工神经元与第二人造神经元连接。

2. 发明授权

US09652711B2 Analog signal reconstruction and recognition via sub-threshold modulation 有权
公开(公告)号：US09652711B2
公开(公告)日：2017-05-16
申请号：US14249762
申请日：2014-04-10
申请人： QUALCOMM Incorporated
发明人： Ryan Michael Carey , Victor Hokkiu Chan
IPC分类号： G06F15/18 , G06N3/04 , G06K9/46 , G06K9/62
CPC分类号： G06N3/049 , G06K9/4623 , G06K9/627
摘要： Certain aspects of the present disclosure support a method and apparatus for analog signal reconstruction and recognition via sub-threshold modulation. The analog waveform recognition in a sub-threshold region of an artificial neuron of the artificial nervous system can be performed by providing a predicted waveform in parallel to an input associated with the artificial neuron. The predicted waveform can be compared with the input and the signal can be generated based at least in part on the comparison. The signal can be a detection signal that detects matching and mismatching between the input and the predicted waveform

3. 发明授权

US08599290B2 Systems, methods, and apparatus for artifact evaluation of digital images 失效
标题翻译：用于数字图像伪影评估的系统，方法和装置
公开(公告)号：US08599290B2
公开(公告)日：2013-12-03
申请号：US13674699
申请日：2012-11-12
申请人： QUALCOMM Incorporated
发明人： Victor Hokkiu Chan , Narayana Karthik Sadanandam Ravirala
IPC分类号： H04N5/217
CPC分类号： G06T5/003 , G06T1/00 , G06T5/002 , G06T5/20 , G06T7/33 , G06T2207/20192 , G06T2207/30204 , H04N5/142 , H04N5/213
摘要： Descriptions are provided of various implementations of an automated tuning process configured to optimize a procedure for post-processing images captured by a camera sensor.
摘要翻译：提供了自动调谐过程的各种实现的描述，其被配置为优化用于后处理由相机传感器捕获的图像的过程。

4. 发明授权

US09418331B2 Methods and apparatus for tagging classes using supervised learning 有权
标题翻译：使用监督学习标记课程的方法和设备
公开(公告)号：US09418331B2
公开(公告)日：2016-08-16
申请号：US14065089
申请日：2013-10-28
申请人： QUALCOMM Incorporated
发明人： Vikram Gupta , Regan Blythe Towal , Victor Hokkiu Chan , Ravindra Manohar Patwardhan , Jeffrey Levin
IPC分类号： G06N3/08 , G06N3/04
CPC分类号： G06N3/049 , G06N3/0454 , G06N3/08
摘要： Certain aspects of the present disclosure provide methods and apparatus for creating tags (static or dynamic) for input/output classes of a neural network model using supervised learning. The method includes augmenting a neural network model with a plurality of neurons and training the augmented network using spike timing dependent plasticity (STDP) to determine one or more tags.
摘要翻译：本公开的某些方面提供了使用监督学习为神经网络模型的输入/输出类创建标签（静态或动态）的方法和装置。该方法包括用多个神经元增强神经网络模型，并使用尖峰定时相关可塑性（STDP）训练增强网络来确定一个或多个标签。

5. 发明授权

US10282660B2 Simultaneous latency and rate coding for automatic error correction 有权
公开(公告)号：US10282660B2
公开(公告)日：2019-05-07
申请号：US14279375
申请日：2014-05-16
申请人： QUALCOMM Incorporated
发明人： Victor Hokkiu Chan , Ryan Michael Carey
IPC分类号： G06N7/02 , G06N7/04 , G06N7/06 , G06N7/08 , G06N3/08 , G06N3/04
摘要： Methods and apparatus are provided for identifying environmental stimuli in an artificial nervous system using both spiking onset and spike counting. One example method of operating an artificial nervous system generally includes receiving a stimulus; generating, at an artificial neuron, a spike train of two or more spikes based at least in part on the stimulus; identifying the stimulus based at least in part on an onset of the spike train; and checking the identified stimulus based at least in part on a rate of the spikes in the spike train. In this manner, certain aspects of the present disclosure may respond with short response latencies and may also maintain accuracy by allowing for error correction.

6. 发明授权

US09361545B2 Methods and apparatus for estimating angular movement with a single two dimensional device 有权
标题翻译：用单个二维装置估计角运动的方法和装置
公开(公告)号：US09361545B2
公开(公告)日：2016-06-07
申请号：US14295608
申请日：2014-06-04
申请人： QUALCOMM Incorporated
发明人： Adrienne Milner , Kiet Chau , Victor Hokkiu Chan , Michael-David Nakayoshi Canoy
IPC分类号： G06K9/20 , G06K9/40 , G06K9/66 , G06T7/20 , G06K9/46 , G06N3/04
CPC分类号： G06K9/66 , G06K9/4604 , G06K9/4619 , G06K9/4671 , G06N3/049 , G06T7/246 , G06T2207/10016 , G06T2207/20084
摘要： Certain aspects of the present disclosure relate to methods and apparatus for neuro-simulation with a single two-dimensional device to track objects. The neuro-simulation may report a point of interest in an image that is provided by the device. The device may center on the point of interest using one or more actuators. The simulation mechanism may input pixels and output a plurality of angles to the actuators to adjust their direction.
摘要翻译：本公开的某些方面涉及用于跟踪物体的单个二维装置进行神经模拟的方法和装置。神经模拟可以报告由设备提供的图像中的兴趣点。设备可以使用一个或多个致动器在感兴趣点上居中。模拟机构可以输入像素并向致动器输出多个角度以调整它们的方向。

7. 发明授权

US09275329B2 Behavioral homeostasis in artificial nervous systems using dynamical spiking neuron models 有权
标题翻译：使用动力学刺激神经元模型的人工神经系统中的行为体内平衡
公开(公告)号：US09275329B2
公开(公告)日：2016-03-01
申请号：US14167727
申请日：2014-01-29
申请人： QUALCOMM Incorporated
发明人： Jason Frank Hunzinger , Victor Hokkiu Chan
IPC分类号： G06F15/18 , G06N3/08 , G06N3/04
CPC分类号： G06N3/049
摘要： Methods and apparatus are provided for implementing behavioral homeostasis in artificial neurons that use a dynamical spiking neuron model. The homeostatic mechanism may be driven by neuron state, rather than by neuron spiking rate, and this mechanism may drive changes to the neuron temporal dynamics, rather than to contributions of input or weights. As a result, certain aspects of the present disclosure are a more natural fit with spiking neural networks and have many functional and computational advantages. One example method for implementing homeostasis of an artificial nervous system generally includes determining one or more state variables of a neuron model used by an artificial neuron, based at least in part on dynamics of the neuron model; determining one or more conditions based at least in part on the state variables; and adjusting the dynamics based at least in part on the conditions.
摘要翻译：提供了用于在使用动力学刺激神经元模型的人造神经元中实现行为动态平衡的方法和装置。稳态机制可以由神经元状态驱动，而不是由神经元峰值速率驱动，并且这种机制可以驱动神经元时间动力学的变化，而不是输入或权重的贡献。结果，本公开的某些方面与掺加神经网络更为自然，并且具有许多功能和计算的优点。用于实现人造神经系统的体内平衡的一个示例性方法通常包括至少部分地基于神经元模型的动力学来确定由人造神经元使用的神经元模型的一个或多个状态变量; 至少部分地基于状态变量确定一个或多个条件; 并且至少部分地基于条件来调整动力学。

8. 发明授权

US09460384B2 Effecting modulation by global scalar values in a spiking neural network 有权
标题翻译：通过加标度神经网络中的全局标量值来实现调制
公开(公告)号：US09460384B2
公开(公告)日：2016-10-04
申请号：US14260140
申请日：2014-04-23
申请人： QUALCOMM Incorporated
发明人： Jeffrey Alexander Levin , Yinyin Liu , Sarah Paige Gibson , Michael Campos , Vikram Gupta , Victor Hokkiu Chan , Edward Hanyu Liao , Erik Christopher Malone
IPC分类号： G06N3/08 , G06N3/04
CPC分类号： G06N3/08 , G06N3/049
摘要： Methods and apparatus are provided for effecting modulation using global scalar values in a spiking neural network. One example method for operating an artificial nervous system generally includes determining one or more updated values for artificial neuromodulators to be used by a plurality of entities in a neuron model and providing the updated values to the plurality of entities.
摘要翻译：提供了方法和装置，用于在加标神经网络中使用全局标量值进行调制。用于操作人造神经系统的一个示例性方法通常包括确定将由神经元模型中的多个实体使用的人造神经调节器的一个或多个更新值，并向多个实体提供更新的值。

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