公开(公告)号：WO2015130476A3

公开(公告)日：2015-10-22

申请号：PCT/US2015015637

申请日：2015-02-12

Applicant: QUALCOMM INC

Inventor： SARAH ANTHONY ,  LEVIN JEFFREY ALEXANDER ,  GEHLHAAR JEFFREY BAGINSKY

IPC: G06N3/04 ,  G06N3/10

CPC classification number: G06N3/04 ,  G06N3/0454 ,  G06N3/08 ,  G06N3/10

Abstract: Certain aspects of the present disclosure support efficient implementation of common neuron models. In an aspect, a first memory layout can be allocated for parameters and state variables of instances of a first neuron model, and a second memory layout different from the first memory layout can be allocated for parameters and state variables of instances of a second neuron model having a different complexity than the first neuron model.

Abstract translation: 本公开的某些方面支持有效实施普通神经元模型。 在一方面，可以为第一神经元模型的实例的参数和状态变量分配第一存储器布局，并且可以为与第一存储器布局不同的第二存储器布局分配用于第二神经元模型的实例的参数和状态变量 具有与第一神经元模型不同的复杂性。

公开(公告)号：WO2015023425A3

公开(公告)日：2015-05-14

申请号：PCT/US2014048605

申请日：2014-07-29

Applicant: QUALCOMM INC

Inventor： CANOY MICHAEL-DAVID NAKAYOSHI ,  LIU YINYIN ,  SARAH ANTHONY ,  MILNER ADRIENNE

IPC: G06N3/08 ,  G06N3/04

CPC classification number: G06N3/08 ,  G06N3/049

Abstract: Methods and apparatus are provided for training a neural device having an artificial nervous system by modulating at least one training parameter during the training. One example method for training a neural device having an artificial nervous system generally includes observing the neural device in a training environment and modulating at least one training parameter based at least in part on the observing. For example, the training apparatus described herein may modify the neural device's internal learning mechanisms (e.g., spike rate, learning rate, neuromodulators, sensor sensitivity, etc.) and/or the training environment's stimuli (e.g., move a flame closer to the device, make the scene darker, etc.). In this manner, the speed with which the neural device is trained (i.e., the training rate) may be significantly increased compared to conventional neural device training systems.

Abstract translation: 提供了用于通过在训练期间调制至少一个训练参数来训练具有人造神经系统的神经装置的方法和装置。 用于训练具有人造神经系统的神经装置的一个示例方法通常包括在训练环境中观察神经装置并且至少部分地基于观察来调制至少一个训练参数。 例如，本文描述的训练装置可以修改神经装置的内部学习机制（例如，尖峰速率，学习速率，神经调节器，传感器灵敏度等）和/或训练环境的刺激（例如，使火焰更靠近装置 ，使场景变暗等）。 以这种方式，与传统的神经装置训练系统相比，神经装置训练的速度（即，训练速率）可以显着增加。