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    • 2. 发明授权
    • Watershed memory systems and methods
    • 流域记忆系统和方法
    • US08332339B2
    • 2012-12-11
    • US12612677
    • 2009-11-05
    • Alex Nugent
    • Alex Nugent
    • G06F15/18G06E1/00G06E3/00G06G7/00G06N3/02G06N3/04
    • G06N3/0418G06N3/049
    • An emotional memory control system and method for generating behavior. A sensory encoder provides a condensed encoding of a current circumstance received from an external environment. A memory associated with a regulator recognizes the encoding and activates one or more emotional springs according to a predefined set of instructions. The activated emotional springs can then transmit signals to at least one moment on a fractal moment sheet incorporated with a timeline for each channel in order to form one or more watersheds. An activation magnitude can be calculated for each moment and transmitted to a reaction relay. A synaptic link can then form between the moment and a motor encoder, thereby linking a specific moment with a specific action state.
    • 情绪记忆控制系统和方法,用于产生行为。 感官编码器提供从外部环境接收的当前情况的缩写编码。 与调节器相关联的存储器根据预定义的指令集识别编码并激活一个或多个情绪弹簧。 激活的情绪弹簧然后可以在与每个通道的时间线并入的分形时间片上至少一个时刻传输信号,以便形成一个或多个分水岭。 可以为每个时刻计算一个激活量,并传送给一个反应继电器。 然后可以在力矩和马达编码器之间形成突触连杆,从而将特定力矩与特定动作状态相联系。
    • 4. 发明申请
    • FRAMEWORK FOR THE ORGANIZATION OF NEURAL ASSEMBLIES
    • 神经组织组织框架
    • US20110145179A1
    • 2011-06-16
    • US12938537
    • 2010-11-03
    • Alex Nugent
    • Alex Nugent
    • G06N3/02
    • G06N3/049
    • A framework for organization of neural assemblies. Stable neural circuits are formed by generating comprehensions. A packet of neurons projects to a target neuron after stimulation. A target neuron in STDP state is recruited if it fires within a STDP window. Recruitment leads to temporary stabilization of the synapses. The stimulation periods followed by decay periods lead to an exploration of cut-sets. Comprehension results in successful predictions and prediction-mining leads to flow. Flow is defined as the production rate of signaling particles needed to maintain communication between nodes. The comprehension circuit competes for prediction via local inhibition. Flow can be utilized for signal activation and deactivation of post-synaptic and pre-synaptic plasticity. Flow stabilizes the comprehension circuit.
    • 一个组织神经组件的框架。 通过产生理解形成稳定的神经回路。 神经元包被刺激后投射到目标神经元。 如果STDP状态下的目标神经元在STDP窗口内触发,则会招募目标神经元。 招募导致突触的临时稳定。 刺激时期随之而来的是腐烂期,导致了对切割的探索。 理解导致成功的预测和预测挖掘导致流动。 流量定义为维持节点之间的通信所需的信号粒子的生成速率。 理解电路通过局部抑制来竞争预测。 流动可以用于信号激活和去激活突触后和突触前可塑性。 流量稳定理解电路。
    • 6. 发明授权
    • Application of hebbian and anti-hebbian learning to nanotechnology-based physical neural networks
    • hebbian和anti-hebbian学习在纳米技术的物理神经网络的应用
    • US07412428B2
    • 2008-08-12
    • US10748631
    • 2003-12-30
    • Alex Nugent
    • Alex Nugent
    • G06E1/00
    • G06N3/063B82Y10/00G06E1/00G06E3/00G06G7/00G06N3/04G06N3/08G06N99/007Y10S977/70Y10S977/712Y10S977/742
    • Methods and systems are disclosed herein in which a physical neural network can be configured utilizing nanotechnology. Such a physical neural network can comprise a plurality of molecular conductors (e.g., nanoconductors) which form neural connections between pre-synaptic and post-synaptic components of the physical neural network. Additionally, a learning mechanism can be applied for implementing Hebbian learning via the physical neural network. Such a learning mechanism can utilize a voltage gradient or voltage gradient dependencies to implement Hebbian and/or anti-Hebbian plasticity within the physical neural network. The learning mechanism can also utilize pre-synaptic and post-synaptic frequencies to provide Hebbian and/or anti-Hebbian learning within the physical neural network.
    • 本文公开的方法和系统,其中可以使用纳米技术来配置物理神经网络。 这样的物理神经网络可以包括形成物理神经网络的突触前和突触前组件之间的神经连接的多个分子导体(例如,纳米电感器)。 另外,学习机制可以通过物理神经网络实现Hebbian学习。 这种学习机制可以利用电压梯度或电压梯度依赖性在物理神经网络内实现Hebbian和/或抗Hebbian可塑性。 学习机制还可以利用突触前和突触后频率在物理神经网络内提供Hebbian和/或反Hebbian学习。
    • 7. 发明授权
    • Physical neural network liquid state machine utilizing nanotechnology
    • 物理神经网络液态机利用纳米技术
    • US07392230B2
    • 2008-06-24
    • US10748546
    • 2003-12-30
    • Alex Nugent
    • Alex Nugent
    • G06E1/00G06E3/00G06E15/18G06G7/00G06N3/02
    • G06N99/007B82Y10/00G06N3/063G06N3/08
    • A physical neural network is disclosed, which comprises a liquid state machine. The physical neural network is configured from molecular connections located within a dielectric solvent between pre-synaptic and post-synaptic electrodes thereof, such that the molecular connections are strengthened or weakened according to an application of an electric field or a frequency thereof to provide physical neural network connections thereof. A supervised learning mechanism is associated with the liquid state machine, whereby connections strengths of the molecular connections are determined by pre-synaptic and post-synaptic activity respectively associated with the pre-synaptic and post-synaptic electrodes, wherein the liquid state machine comprises a dynamic fading memory mechanism.
    • 公开了一种物理神经网络,其包括液态机器。 物理神经网络由位于突触前和突触前电极之间的介电溶剂内的分子连接构成,使得分子连接根据电场或其频率的应用被加强或削弱以提供物理神经 网络连接。 监督学习机制与液态机相关联,由此分子连接的连接强度由分别与突触前和突触前电极分别相关联的突触前和突触后活动确定,其中液态机包括 动态衰落记忆机制。
    • 8. 发明申请
    • Methodology for the configuration and repair of unreliable switching elements
    • 用于配置和修复不可靠开关元件的方法
    • US20070022064A1
    • 2007-01-25
    • US11476980
    • 2006-06-26
    • Alex Nugent
    • Alex Nugent
    • G06N3/02G06E1/00
    • B82Y10/00G06N99/007
    • A universal logic gate apparatus is disclosed, which include a plurality of self-assembling chains of nanoparticles having a plurality of resistive connections, wherein the plurality of self-assembling chains of nanoparticles comprise resistive elements. A plasticity mechanism is also provided, which is based on a plasticity rule for creating stable connections from the plurality of self-assembling chains of nanoparticles for use with the universal, reconfigurable logic gate. In addition, the universal logic gate can be configured with a cross-bar architecture, where nanoconnections are formed from a columbic-educed mechanical stress contact.
    • 公开了一种通用逻辑门装置,其包括具有多个电阻连接的多个纳米颗粒自组装链,其中所述多个纳米颗粒的自组装链包括电阻元件。 还提供了可塑性机理,其基于用于从多个纳米颗粒的自组装链形成稳定的连接的可塑性规则,以与通用的可重新配置的逻辑门一起使用。 此外,通用逻辑门可以配置有横杆结构,其中纳米连接由突然引起的机械应力接触形成。
    • 9. 发明申请
    • Plasticity-induced self organizing nanotechnology for the extraction of independent components from a data stream
    • 可塑性诱导的自组织纳米技术用于从数据流中提取独立组件
    • US20070005532A1
    • 2007-01-04
    • US11147081
    • 2005-06-06
    • Alex Nugent
    • Alex Nugent
    • G06F15/18
    • G06N3/063
    • A system for independent component analysis includes a feedback mechanism based on a plasticity rule, and an electro-kinetic induced particle chain, wherein the feedback mechanism and the electro-kinetic induced particle chain is utilized to extract independent components from a data set or data stream. The electro-kinetic induced particle chain is generally composed of a plurality of interconnected nanoconnections (e.g., nanoparticles) disposed between at least two electrodes in a solution, including for example one or more pre-synaptic electrodes and one or more post-synaptic electrodes. The feedback mechanism generally provides feedback to one or more particles within the electro-kinetic induced particle chain, while the plasticity rule can be non-linear in nature. The feedback mechanism also provides for one or more evaluate phases and one or more feedback phases.
    • 用于独立分量分析的系统包括基于可塑性规则的反馈机制和电动力学诱导粒子链,其中所述反馈机制和所述电动力学诱导粒子链用于从数据集或数据流中提取独立分量 。 电动力学诱导的颗粒链通常由设置在溶液中的至少两个电极之间的多个互连的纳米连接(例如纳米颗粒)组成,包括例如一个或多个突触前电极和一个或多个突触后电极。 反馈机制通常向电动力学诱导的颗粒链内的一个或多个颗粒提供反馈,而可塑性规则本质上可以是非线性的。 反馈机制还提供一个或多个评估阶段和一个或多个反馈阶段。