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    • 1. 发明授权
    • Retinal apparatus and methods
    • 视网膜仪器和方法
    • US09412041B1
    • 2016-08-09
    • US13539142
    • 2012-06-29
    • Dimitry FisherEugene M. IzhikevichMarius BuibasBotond Szatmary
    • Dimitry FisherEugene M. IzhikevichMarius BuibasBotond Szatmary
    • G06K9/00G06K9/60G06N3/063
    • G06K9/605G06K9/645G06N3/049G06N3/063H01L27/14609H04N5/357
    • Artificial retina may be implemented. A retinal apparatus may comprise an input pixel layer, hidden photoreceptive layer, an output neuron layer, and/or other components. Individual cones of the photoreceptive layer may be configured to receive input stimulus from one or more cones within the cone circle of confusion. The cone dynamic may be described using a diffusive state equation characterized by two variables configured to represent membrane voltage and current. Diffusive horizontal coupling of neighboring cones may effectuate non-separable spatiotemporal response that is configured to respond to contrast reversing and/or coherent moving stimulus. The photoreceptive layer high-pass filtered output may facilitate contrast detection by suppressing time-invariant component of the input and reducing sensitivity of the retina to the static inputs.
    • 可以实施人造视网膜。 视网膜装置可以包括输入像素层,隐藏的感光层,输出神经元层和/或其它组件。 感光层的单个锥体可以被配置为从混合锥圆圈内的一个或多个锥体接收输入刺激。 可以使用由两个变量表征的扩散状态方程来描述锥形动态,其被配置为表示膜电压和电流。 相邻锥体的扩散水平耦合可以实现被配置为响应对比度反转和/或相干移动刺激的不可分离的时空响应。 感光层高通滤波输出可以通过抑制输入的时间不变分量并降低视网膜对静态输入的敏感度来促进对比度检测。
    • 2. 发明授权
    • Sensory processing apparatus and methods
    • 感觉处理装置和方法
    • US09014416B1
    • 2015-04-21
    • US13540429
    • 2012-07-02
    • Dimitry FisherEugene M. IzhikevichMarius Buibas
    • Dimitry FisherEugene M. IzhikevichMarius Buibas
    • G06K9/00H01L27/146
    • G06K9/605G06K9/645G06N3/049G06N3/063H01L27/14609H04N5/357
    • Artificial retina may be implemented. A retinal apparatus may comprise an input pixel layer, hidden photoreceptive layer, an output neuron layer, and/or other components. Individual cones of the photoreceptive layer may be configured to receive input stimulus from one or more cones within the cone circle of confusion. The cone dynamic may be described using a diffusive state equation characterized by two variables configured to represent membrane voltage and current. Diffusive horizontal coupling of neighboring cones may effectuate non-separable spatiotemporal response that is configured to respond to contrast reversing and/or coherent moving stimulus. The photoreceptive layer high-pass filtered output may facilitate contrast detection by suppressing time-invariant component of the input and reducing sensitivity of the retina to the static inputs.
    • 可以实施人造视网膜。 视网膜装置可以包括输入像素层,隐藏的感光层,输出神经元层和/或其它组件。 感光层的单个锥体可以被配置为从混合锥圆圈内的一个或多个锥体接收输入刺激。 可以使用由两个变量表征的扩散状态方程来描述锥形动态,其被配置为表示膜电压和电流。 相邻锥体的扩散水平耦合可以实现被配置为响应对比度反转和/或相干移动刺激的不可分离的时空响应。 感光层高通滤波输出可以通过抑制输入的时间不变分量并降低视网膜对静态输入的敏感度来促进对比度检测。
    • 3. 发明授权
    • Robotic learning and evolution apparatus
    • 机器人学习与演进装置
    • US08793205B1
    • 2014-07-29
    • US13623826
    • 2012-09-20
    • Dimitry FisherEugene Izhikevich
    • Dimitry FisherEugene Izhikevich
    • G06N3/00G06N99/00
    • G06N3/008G06N99/005
    • Apparatus and methods for implementing robotic learning and evolution. An ecosystem of robots may comprise robotic devices of one or more types utilizing artificial neuron networks for implementing learning of new traits. A number of robots of one or more species may be contained in an enclosed environment. The robots may interact with objects within the environment and with one another, while being observed by the human audience. In one or more implementations, the robots may be configured to ‘reproduce’ via duplication, copy, merge, and/or modification of robotic. The replication process may employ mutations. Probability of reproduction of the individual robots may be determined based on the robot's success in whatever function trait or behavior is desired. User-driven evolution of robotic species may enable development of a wide variety of new and/or improved functionality and provide entertainment and educational value for users.
    • 实现机器人学习和演进的装置和方法。 机器人的生态系统可以包括利用人造神经网络来实现新特征的学习的一种或多种类型的机器人设备。 一个或多个物种的许多机器人可能被包含在封闭的环境中。 机器人可以在人类观察者观察的同时与环境中的物体相互作用。 在一个或多个实现中,机器人可以被配置为通过机器人的复制,复制,合并和/或修改来“再现”。 复制过程可以使用突变。 可以基于机器人在任何功能特征或行为方面的成功来确定各个机器人的再生概率。 用户驱动的机器人物种的进化可能可以开发出各种新的和/或改进的功能,并为用户提供娱乐和教育价值。