System for electronic learning synapse with spike-timing dependent plasticity using phase change memory
    1.
    发明授权
    System for electronic learning synapse with spike-timing dependent plasticity using phase change memory 有权
    使用相变记忆的具有尖峰时序相关可塑性的电子学习突触系统

    公开(公告)号:US08447714B2

    公开(公告)日:2013-05-21

    申请号:US12470451

    申请日:2009-05-21

    IPC分类号: G06F15/18 G06J1/00 G06N3/00

    摘要: A system, method and computer program product for producing spike-dependent plasticity in an artificial synapse is disclosed. According to one embodiment, a method for producing spike-dependent plasticity in an artificial neuron comprises generating a pre-synaptic spiking event in a first neuron when a total integrated input to the first neuron exceeds a first predetermined threshold. A post-synaptic spiking event is generated in a second neuron when a total integrated input to the second neuron exceeds a second predetermined threshold. After the pre-synaptic spiking event, a first pulse is applied to a pre-synaptic node of a synapse having a phase change memory element. After the post-synaptic spiking event, a second varying pulse is applied to a post-synaptic node of the synapse, wherein current through the synapse is a function of the state of the second varying pulse at the time of the first pulse.

    摘要翻译: 公开了一种用于在人造突触中产生尖峰依赖性可塑性的系统,方法和计算机程序产品。 根据一个实施方案,用于在人造神经元中产生尖峰依赖性可塑性的方法包括当对第一神经元的总积分输入超过第一预定阈值时,在第一神经元中产生突触前尖峰事件。 当到第二神经元的总积分输入超过第二预定阈值时,在第二神经元中产生突触后尖峰事件。 在突触前尖峰事件之前,将第一脉冲施加到具有相变存储元件的突触的突触前突触节点。 在突触后尖峰事件之后,将第二变化脉冲施加到突触的突触后结节,其中通过突触的电流是第一脉冲时的第二变化脉冲的状态的函数。

    SYSTEM FOR ELECTRONIC LEARNING SYNAPSE WITH SPIKE-TIMING DEPENDENT PLASTICITY USING PHASE CHANGE MEMORY
    2.
    发明申请
    SYSTEM FOR ELECTRONIC LEARNING SYNAPSE WITH SPIKE-TIMING DEPENDENT PLASTICITY USING PHASE CHANGE MEMORY 有权
    使用相位变化记忆的具有SPIKE-TIMING相关塑性的电子学习系统

    公开(公告)号:US20100299297A1

    公开(公告)日:2010-11-25

    申请号:US12470451

    申请日:2009-05-21

    IPC分类号: G06N3/063

    摘要: A system, method and computer program product for producing spike-dependent plasticity in an artificial synapse is disclosed. According to one embodiment, a method for producing spike-dependent plasticity in an artificial neuron comprises generating a pre-synaptic spiking event in a first neuron when a total integrated input to the first neuron exceeds a first predetermined threshold. A post-synaptic spiking event is generated in a second neuron when a total integrated input to the second neuron exceeds a second predetermined threshold. After the pre-synaptic spiking event, a first pulse is applied to a pre-synaptic node of a synapse having a phase change memory element. After the post-synaptic spiking event, a second varying pulse is applied to a post-synaptic node of the synapse, wherein current through the synapse is a function of the state of the second varying pulse at the time of the first pulse.

    摘要翻译: 公开了一种用于在人造突触中产生尖峰依赖性可塑性的系统,方法和计算机程序产品。 根据一个实施方案,用于在人造神经元中产生尖峰依赖性可塑性的方法包括当对第一神经元的总积分输入超过第一预定阈值时,在第一神经元中产生突触前尖峰事件。 当到第二神经元的总积分输入超过第二预定阈值时,在第二神经元中产生突触后尖峰事件。 在突触前尖峰事件之前,将第一脉冲施加到具有相变存储元件的突触的突触前突触节点。 在突触后尖峰事件之后,将第二变化脉冲施加到突触的突触后结节,其中通过突触的电流是第一脉冲时的第二变化脉冲的状态的函数。

    PRODUCING SPIKE-TIMING DEPENDENT PLASTICITY IN AN ULTRA-DENSE SYNAPSE CROSS-BAR ARRAY
    3.
    发明申请
    PRODUCING SPIKE-TIMING DEPENDENT PLASTICITY IN AN ULTRA-DENSE SYNAPSE CROSS-BAR ARRAY 有权
    在超声波同步串联阵列阵列中产生依赖时间的塑性

    公开(公告)号:US20110153533A1

    公开(公告)日:2011-06-23

    申请号:US12645479

    申请日:2009-12-22

    IPC分类号: G06N3/02

    CPC分类号: G06N3/049 G06N3/0635

    摘要: Embodiments of the invention relate to producing spike-timing dependent plasticity in an ultra-dense synapse cross-bar array for neuromorphic systems. An aspect of the invention includes when an electronic neuron spikes, an alert pulse is sent from the spiking electronic neuron to each electronic neuron connected to the spiking electronic neuron. When the spiking electronic neuron sends the alert pulse, a gate pulse is sent from the spiking electronic neuron to each electronic neuron connected to the spiking electronic neuron. When each electronic neuron receives the alert pulse, a response pulse is sent from each electronic neuron receiving the alert pulse to the spiking electronic neuron. The response pulse is a function of time since a last spiking of the electronic neuron receiving the alert pulse. In addition, the combination of the gate pulse and response pulse is capable increasing or decreasing conductance of a variable state resistor.

    摘要翻译: 本发明的实施方案涉及在用于神经形态系统的超密集突触交叉阵列中产生尖峰时间依赖性可塑性。 本发明的一个方面包括当电子神经元尖峰时,警报脉冲从尖峰电子神经元发送到连接到尖峰电子神经元的每个电子神经元。 当尖峰电子神经元发出警报脉冲时,门脉冲从尖峰电子神经元发送到连接到尖峰电子神经元的每个电子神经元。 当每个电子神经元接收到警报脉冲时,从接收警报脉冲的每个电子神经元发送响应脉冲到尖峰电子神经元。 响应脉冲是从接收警报脉冲的电子神经元的最后一次尖峰起的时间的函数。 此外,门脉冲和响应脉冲的组合能够增加或降低可变状态电阻器的电导。

    Producing spike-timing dependent plasticity in an ultra-dense synapse cross-bar array
    4.
    发明授权
    Producing spike-timing dependent plasticity in an ultra-dense synapse cross-bar array 有权
    在超密集突触交叉阵列中产生尖峰时序依赖性可塑性

    公开(公告)号:US08527438B2

    公开(公告)日:2013-09-03

    申请号:US12645479

    申请日:2009-12-22

    CPC分类号: G06N3/049 G06N3/0635

    摘要: Embodiments of the invention relate to producing spike-timing dependent plasticity in an ultra-dense synapse cross-bar array for neuromorphic systems. An aspect of the invention includes when an electronic neuron spikes, an alert pulse is sent from the spiking electronic neuron to each electronic neuron connected to the spiking electronic neuron. When the spiking electronic neuron sends the alert pulse, a gate pulse is sent from the spiking electronic neuron to each electronic neuron connected to the spiking electronic neuron. When each electronic neuron receives the alert pulse, a response pulse is sent from each electronic neuron receiving the alert pulse to the spiking electronic neuron. The response pulse is a function of time since a last spiking of the electronic neuron receiving the alert pulse. In addition, the combination of the gate pulse and response pulse is capable increasing or decreasing conductance of a variable state resistor.

    摘要翻译: 本发明的实施方案涉及在用于神经形态系统的超密集突触交叉阵列中产生尖峰时间依赖性可塑性。 本发明的一个方面包括当电子神经元尖峰时,警报脉冲从尖峰电子神经元发送到连接到尖峰电子神经元的每个电子神经元。 当尖峰电子神经元发出警报脉冲时,门脉冲从尖峰电子神经元发送到连接到尖峰电子神经元的每个电子神经元。 当每个电子神经元接收到警报脉冲时,从接收警报脉冲的每个电子神经元发送响应脉冲到尖峰电子神经元。 响应脉冲是从接收警报脉冲的电子神经元的最后一次尖峰起的时间的函数。 此外,门脉冲和响应脉冲的组合能够增加或降低可变状态电阻器的电导。

    USING MULTIPLE DATA STRUCTURES TO MANAGE DATA IN CACHE
    8.
    发明申请
    USING MULTIPLE DATA STRUCTURES TO MANAGE DATA IN CACHE 失效
    使用多个数据结构来管理缓存中的数据

    公开(公告)号:US20080021853A1

    公开(公告)日:2008-01-24

    申请号:US11459004

    申请日:2006-07-20

    IPC分类号: G06N3/10

    CPC分类号: G06F12/124 G06F12/123

    摘要: Provided are a method, system and program for using multiple data structures to manage data in cache. A plurality of data structures each have entries identifying data from a first computer readable medium added to a second computer readable medium. A request is received for data in the first computer readable medium. A determination is made as to whether there is an entry for the requested data in one of the data structures. The requested data is retrieved from the first computer readable medium to store in the second computer readable medium in response to determining that there is no entry for the requested data in one of the data structures. One of the data structures is selected in response to determining that there is no entry for the requested data in one of the data structures and an entry for the retrieved data is added to the selected data structure.

    摘要翻译: 提供了一种使用多个数据结构来管理缓存中的数据的方法,系统和程序。 多个数据结构各自具有标识来自添加到第二计算机可读介质的第一计算机可读介质的数据的条目。 接收第一计算机可读介质中的数据的请求。 确定在数据结构之一中是否存在所请求的数据的条目。 响应于确定在数据结构之一中没有针对所请求的数据的条目,从第一计算机可读介质检索所请求的数据以存储在第二计算机可读介质中。 响应于确定在数据结构之一中没有针对所请求的数据的条目而选择数据结构中的一个,并且将所检索的数据的条目添加到所选择的数据结构。

    Clustering hypertext with applications to WEB searching
    9.
    发明授权
    Clustering hypertext with applications to WEB searching 有权
    将超文本聚类到应用程序到WEB搜索

    公开(公告)号:US07233943B2

    公开(公告)日:2007-06-19

    申请号:US10660242

    申请日:2003-09-11

    IPC分类号: G06F17/30 G06F7/00

    摘要: A method of searching a database of documents, wherein the method includes performing a search of the database using a query to produce query result documents; constructing a word dictionary of words within the query result documents; constructing an out-link dictionary of documents within the database that are pointed to by the query result documents; adding the query result documents to the out-link dictionary; constructing an in-link dictionary of documents within the database that point to the query result documents; and adding the query result documents to the in-link dictionary.

    摘要翻译: 一种搜索文档数据库的方法,其中所述方法包括使用查询来执行数据库的搜索以产生查询结果文档; 在查询结果文档中构建单词词典; 构建数据库中由查询结果文档指向的文档的外链接字典; 将查询结果文档添加到外链字典; 构建数据库中指向查询结果文档的文档的链接字典; 并将查询结果文档添加到链接字典中。

    Concept decomposition using clustering
    10.
    发明授权
    Concept decomposition using clustering 失效
    使用聚类的概念分解

    公开(公告)号:US06560597B1

    公开(公告)日:2003-05-06

    申请号:US09528941

    申请日:2000-03-21

    IPC分类号: G06F1730

    摘要: A system and method operates with a document collection in which documents are represented as normalized document vectors. The document vector space is partitioned into a set of disjoint clusters and a concept vector is computed for each partition, the concept vector comprising the mean vector of all the documents in each partition. Documents are then reassigned to the cluster having their closest concept vector, and a new set of concept vectors for the new partitioning is computed. From an initial partitioning, the concept vectors are iteratively calculated to a stopping threshold value, leaving a concept vector subspace of the document vectors. The documents can then be projected onto the concept vector subspace to be represented as a linear combination of the concept vectors, thereby reducing the dimensionality of the document space. A search query can be received for the content of text documents and a search can then be performed on the projected document vectors to identify text documents that correspond to the search query.

    摘要翻译: 系统和方法与文档集合一起操作,其中文档被表示为归一化的文档向量。 文档向量空间被分割成一组不相交的簇,并且为每个分区计算概念向量,该概念向量包括每个分区中的所有文档的平均向量。 然后将文档重新分配给具有最接近的概念向量的集群,并且计算新的分区的新的一组概念向量。 从初始分割,将概念向量迭代计算为停止阈值,留下文档向量的概念向量子空间。 然后可以将文档投影到概念向量子空间上以被表示为概念向量的线性组合,从而降低文档空间的维度。 可以接收关于文本文档的内容的搜索查询,然后可以对投影的文档向量执行搜索以识别与搜索查询相对应的文本文档。