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    • 1. 发明授权
    • Implementing structural plasticity in an artificial nervous system
    • 在人造神经系统中实施结构可塑性
    • US09449270B2
    • 2016-09-20
    • US14157143
    • 2014-01-16
    • QUALCOMM IncorporatedNina Marcos
    • Jason Frank HunzingerMichael-David Nakayoshi CanoyPaul Edward BenderVictor Hokkiu ChanGina Marcela Escobar Mora
    • G06F15/18G06N3/08G06N3/04
    • G06N3/04G06N3/049G06N3/08G06N3/082
    • 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.
    • 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。
    • 3. 发明授权
    • Post ghost plasticity
    • 后鬼可塑性
    • US09418332B2
    • 2016-08-16
    • US14167752
    • 2014-01-29
    • QUALCOMM IncorporatedNina Marcos
    • Jason Frank HunzingerJeffrey Alexander Levin
    • G06F15/18G06N3/08G06N3/04
    • G06N3/049G06N3/04
    • Methods and apparatus are provided for inferring and accounting for missing post-synaptic events (e.g., a post-synaptic spike that is not associated with any pre-synaptic spikes) at an artificial neuron and adjusting spike-timing dependent plasticity (STDP) accordingly. One example method generally includes receiving, at an artificial neuron, a plurality of pre-synaptic spikes associated with a synapse, tracking a plurality of post-synaptic spikes output by the artificial neuron, and determining at least one of the post-synaptic spikes is associated with none of the plurality of pre-synaptic spikes. According to certain aspects, determining inferring missing post-synaptic events may be accomplished by using a flag, counter, or other variable that is updated on post-synaptic firings. If this post-ghost variable changes between pre-synaptic-triggered adjustments, then the artificial nervous system can determine there was a missing post-synaptic pairing.
    • 提供了用于推断和计算在人造神经元处丢失的突触后事件(例如,与突触前尖峰之间不相关的突触后尖峰)并相应地调整尖峰时序依赖性可塑性(STDP)的方法和装置。 一个示例性方法通常包括在人造神经元处接收与突触相关联的多个突触前尖峰,跟踪由人造神经元输出的多个突触后尖峰,并且确定突触后尖峰中的至少一个是 与多个突触前尖峰中的任一个相关联。 根据某些方面,确定推断缺失的突触后事件可以通过使用在突触后发射上更新的标志,计数器或其他变量来实现。 如果这个后幽灵变量在突触前触发的调整之间变化,则人造神经系统可以确定缺少突触后配对。