公开(公告)号：US09275328B1

公开(公告)日：2016-03-01

申请号：US13886263

申请日：2013-05-02

Applicant: HRL Laboratories, LLC

Inventor： Kirill Minkovich ,  Aleksey Nogin ,  Yougkwan Cho ,  Narayan Srinivasa

IPC: G06F15/18 ,  G06E3/00 ,  G06N3/04

CPC classification number: G06N3/088 ,  G06N3/049

Abstract: A neuromorphic compiler includes a placement module to provide analytic placement of neurons in a neural network description. The analytic placement is to produce placed neurons. The neuromorphic compiler further includes a smoothing module to perform diffusion-based smoothing of the placed neurons; a legalization module to adjust locations of the placed neurons to correspond to legal locations of neuromorphic neurons within a neural fabric; and a simulated annealing module to refine locations of the placed neurons within the neural fabric using simulated annealing following location adjustment by the legalization module. The neural fabric is to implement a synaptic time-multiplexed (STM) neuromorphic network.

Abstract translation: 神经形态编译器包括一个放置模块，用于在神经网络描述中提供神经元的分析放置。 分析位置是产生放置的神经元。 神经形态编译器还包括平滑模块，用于执行放置的神经元的基于扩散的平滑; 一个合法化模块，用于调整所放置的神经元的位置，以对应于神经织物内的神经形态神经元的合法位置; 以及模拟退火模块，以通过合法化模块进行位置调整之后，使用模拟退火来改善神经织物中放置的神经元的位置。 神经织构是实现突触时间复用（STM）神经元网络。

公开(公告)号：US20150302296A1

公开(公告)日：2015-10-22

申请号：US13896110

申请日：2013-05-16

Applicant: HRL LABORATORIES, LLC

Inventor： Corey M. Thibeault ,  Narayan Srinivasa

IPC: G06N3/08 ,  G06N3/04

CPC classification number: G06N3/08 ,  G06N3/04 ,  G06N3/049 ,  G06N20/00

Abstract: A neural model for reinforcement-learning and for action-selection includes a plurality of channels, a population of input neurons in each of the channels, a population of output neurons in each of the channels, each population of input neurons in each of the channels coupled to each population of output neurons in each of the channels, and a population of reward neurons in each of the channels. Each channel of a population of reward neurons receives input from an environmental input, and is coupled only to output neurons in a channel that the reward neuron is part of. If the environmental input for a channel is positive, the corresponding channel of a population of output neurons are rewarded and have their responses reinforced, otherwise the corresponding channel of a population of output neurons are punished and have their responses attenuated.

Abstract translation: 用于加强学习和动作选择的神经模型包括多个通道，每个通道中的输入神经元群体，每个通道中的输出神经元群，每个通道中的输入神经元的每个群体 耦合到每个信道中的每个输出神经元的群体，以及每个信道中的一群奖励神经元。 奖励神经元群体的每个通道从环境输入接收输入，并且仅耦合到奖励神经元属于其中的一个通道中的输出神经元。 如果通道的环境输入为正，输出神经元群体的相应通道将得到奖励，并加强其响应，否则输出神经元群体的相应通道受到惩罚并使其响应减弱。

公开(公告)号：US08996431B2

公开(公告)日：2015-03-31

申请号：US13679727

申请日：2012-11-16

Applicant: HRL Laboratories, LLC

Inventor： Jose Cruz-Albrecht ,  Michael W. Yung ,  Narayan Srinivasa

IPC: G06N3/02

CPC classification number: G06N3/02 ,  G06N3/049 ,  G06N3/0635

Abstract: A spike domain asynchronous neuron circuit includes a first spike to exponential circuit for emulating kinetic dynamics at a neuron input and converting voltage spikes into exponentials, a first adjustable gain circuit for emulating homeostatic plasticity coupled to the first voltage-type spike exponential output and having a first current output, a neuron core circuit coupled to the first current output for emulating a neuron core and having a spike encoded voltage output, a filter and comparator circuit coupled to the spike encoded voltage output and having a gain control output coupled to the first adjustable gain circuit for controlling a gain of the first adjustable gain circuit, and an adjustable delay circuit for emulating an axonal delay coupled to the spike encoded voltage output and having an axonal delay output.

Abstract translation: 尖峰异步神经元电路包括用于模拟神经元输入处的动力学并将电压尖峰转换为指数的指数电路的第一尖峰，用于模拟耦合到第一电压型尖峰指数输出的稳态可塑性的第一可调增益电路， 第一电流输出，耦合到第一电流输出的神经元核心电路，用于仿真神经元核心并具有尖峰编码电压输出;耦合到尖峰编码电压输出的滤波器和比较器电路，并具有耦合到第一可调整电压的增益控制输出 用于控制第一可调增益电路的增益的增益电路，以及用于模拟耦合到尖峰编码电压输出并具有轴突延迟输出的轴突延迟的可调延迟电路。

公开(公告)号：US20140156578A1

公开(公告)日：2014-06-05

申请号：US14094589

申请日：2013-12-02

Applicant: HRL LABORATORIES, LLC

Inventor： Corey Thibeault ,  Kirill Minkovich ,  Narayan Srinivasa

IPC: G06N3/02

CPC classification number: G06N3/049 ,  G06N3/063

Abstract: A neural network portion comprising N pre-synaptic neurons capable each of firing an action potential, wherein the number N can be encoded in a word of n bits; the neural network portion being provided for, upon firing of a number F of pre-synaptic neurons in a predetermined period of time: if F.n N, generating a second type message, the message comprising N bits and being encoded in words of n bits, wherein each one of said N pre-synaptic neurons is represented by a unique bit, each bit having a first value if the pre-synaptic neuron represented by the bit fired in said predetermined period of time, and a second value otherwise.

Abstract translation: 一种神经网络部分，包括能够发射动作电位的N个突触前神经元，其中所述数目N可以以n位的字编码; 所述神经网络部分在预定时间段内触发数个F的突触前神经元时被提供;如果F n N，则生成第二类型消息，所述消息包括N位并以n位的字编码，其中所述N个突触前神经元中的每一个由唯一位表示，每个位具有第一值if 在所述预定时间段内由位触发表示的突触前神经元，否则为第二值。