SYSTEMS AND METHODS FOR BRAIN-LIKE INFORMATION PROCESSING
    1.
    发明申请
    SYSTEMS AND METHODS FOR BRAIN-LIKE INFORMATION PROCESSING 有权
    类似信息处理的系统和方法

    公开(公告)号:US20110140736A1

    公开(公告)日:2011-06-16

    申请号:US12968154

    申请日:2010-12-14

    Applicant: Lane D. Yoder

    Inventor: Lane D. Yoder

    CPC classification number: G06N3/063 G06N3/0436 G11C8/10

    Abstract: Logic circuits provide networks to simulate the functions of neural networks of the brain, and can discriminate degrees of state, and combinations of degrees of state, corresponding to a number of neurons. Logic circuits comprise Recursive AND NOT Conjunctions (RANCs), or AND NOT gates. A RANC is a general logic circuit that performs conjunctions for 2n possible combinations of truth values of n propositions. The RANCs function dynamically, with capabilities of excitation and inhibition. Networks of RANCs are capable of subserving a variety of brain functions, including creative and analytical thought processes. A complete n-RANC produces all conjunctions corresponding to the 2n possible combinations of truth values of n propositions.

    Abstract translation: 逻辑电路提供网络来模拟大脑的神经网络的功能,并且可以区分对应于多个神经元的状态程度和状态的组合。 逻辑电路包括递归和非连接(RANC)或或非门。 RANC是对n个命题的真值的2n个可能组合执行连接的通用逻辑电路。 RANC具有动态功能,具有激励和抑制能力。 RANC的网络能够服务于各种脑功能,包括创造性和分析思维过程。 完整的n-RANC产生对应于n个命题的真值的2n个可能组合的所有连接。

    Systems and methods for brain-like information processing
    2.
    发明授权
    Systems and methods for brain-like information processing 有权
    脑样信息处理的系统和方法

    公开(公告)号:US08655797B2

    公开(公告)日:2014-02-18

    申请号:US12968154

    申请日:2010-12-14

    Applicant: Lane D. Yoder

    Inventor: Lane D. Yoder

    CPC classification number: G06N3/063 G06N3/0436 G11C8/10

    Abstract: Logic circuits provide networks to simulate the functions of neural networks of the brain, and can discriminate degrees of state, and combinations of degrees of state, corresponding to a number of neurons. Logic circuits comprise Recursive AND NOT Conjunctions (RANCs), or AND NOT gates. A RANC is a general logic circuit that performs conjunctions for 2n possible combinations of truth values of n propositions. The RANCs function dynamically, with capabilities of excitation and inhibition. Networks of RANCs are capable of subserving a variety of brain functions, including creative and analytical thought processes. A complete n-RANC produces all conjunctions corresponding to the 2n possible combinations of truth values of n propositions.

    Abstract translation: 逻辑电路提供网络来模拟大脑的神经网络的功能,并且可以区分对应于多个神经元的状态程度和状态的组合。 逻辑电路包括递归和非连接(RANC)或或非门。 RANC是对n个命题的真值的2n个可能组合执行连接的通用逻辑电路。 RANC具有动态功能,具有激励和抑制能力。 RANC的网络能够服务于各种脑功能,包括创造性和分析思维过程。 完整的n-RANC产生对应于n个命题的真值的2n个可能组合的所有连接。

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