公开(公告)号：US20140241211A1

公开(公告)日：2014-08-28

申请号：US13779408

申请日：2013-02-27

Applicant: HRL LABORATORIES, LLC.

Inventor： Deying Zhang ,  Narayan Srinivasa

IPC: H04L12/24

CPC classification number: H04L5/0023 ,  G06N3/02 ,  G06N3/0454 ,  G06N3/049 ,  G06N3/063 ,  G06N3/08 ,  H04L27/264

Abstract: A Multiple Input Multiple Output (MIMO) Orthogonal Frequency Division Multiplexing (OFDM) system for inter-device communication is described. Information data from each neuromorphic chip is coded and modulated, on the basis of destination, into different channels. The parallel signals in different channels are sent serially using TDM to a central router. After signal grouping by a central switching controller, each group of signals may be delivered to corresponding transmitter in the central router for transmission to a corresponding receiver in the neuromorphic chip using TDM.

Abstract translation: 描述了用于设备间通信的多输入多输出（MIMO）正交频分复用（OFDM）系统。 来自每个神经元芯片的信息数据在目的地的基础上被编码和调制成不同的信道。 不同信道中的并行信号使用TDM串行发送到中央路由器。 在通过中央交换控制器进行信号分组之后，可以将每组信号传送到中央路由器中的相应发射机，以使用TDM传输到神经元芯片中的相应接收机。

公开(公告)号：US11023808B1

公开(公告)日：2021-06-01

申请号：US16663195

申请日：2019-10-24

Applicant: HRL LABORATORIES, LLC

Inventor： Qin Jiang ,  Narayan Srinivasa

IPC: G06N3/08 ,  G06K9/62 ,  G06N3/063 ,  G06N3/04

Abstract: A system to detect a feature in an input image comprising a processor to evaluate a model including: four layers including: a supragranular layer, a granular layer, a first infragranular layer, and a second infragranular layer, each of the layers including a base connection structure including: an excitatory layer including a excitatory neurons arranged in a two dimensional grid; and an inhibitory layer including a inhibitory neurons arranged in a two dimensional grid; within-layer connections between the neurons of each layer in accordance with a Gaussian distribution; between-layer connections between the neurons of different layers, the probability of a neuron of a first layer of the different layers to a neuron of a second layer of the different layers in accordance with a uniform distribution; and input connections from lateral geniculate nucleus (LGN) neurons of an input LGN layer to the granular layer in accordance with a uniform distribution.

公开(公告)号：US10586150B2

公开(公告)日：2020-03-10

申请号：US15075063

申请日：2016-03-18

Applicant: HRL Laboratories, LLC

Inventor： Youngkwan Cho ,  Narayan Srinivasa

IPC: G06N3/08 ,  G06K9/00 ,  G06K9/66 ,  G06K9/46 ,  G06N3/04 ,  G01S7/41

Abstract: Described is a system for decoding spiking reservoirs even when the spiking reservoir has continuous synaptic plasticity. The system uses a set of training patterns to train a neural network having a spiking reservoir comprised of spiking neurons. A test pattern duration d is estimated for a set of test patterns P, and each test pattern is presented to the spiking reservoir for a duration of d/P seconds. Output spikes from the spiking reservoir are generated via readout neurons. The output spikes are measured and the measurements are used to compute firing rate codes, each firing rate code corresponding to a test pattern in the set of test patterns P. The firing rate codes are used to decode performance of the neural network by computing a discriminability index (DI) to discriminate between test patterns in the set of test patterns P.

公开(公告)号：US10346739B1

公开(公告)日：2019-07-09

申请号：US14204232

申请日：2014-03-11

Applicant: HRL Laboratories, LLC

Inventor： Karl P. Dockendorf ,  Narayan Srinivasa

IPC: G06E1/00 ,  G06E3/00 ,  G06F15/18 ,  G06G7/00 ,  G06N3/08

Abstract: Described is a system for learning, prediction, and recall of spatiotemporal patterns. An input spatiotemporal sequence is learned using a recurrent spiking neural network by first processing the input spatiotemporal sequence using the recurrent spiking neural network. The recurrent spiking neural network comprises neurons having excitatory synaptic connections and inhibitory synaptic connections. Balanced inhibitory connectivity exists between neurons having excitatory synaptic connections. The recurrent spiking neural network uses distinct forms of synaptic plasticity for excitatory synaptic connections and inhibitory synaptic connections, such that excitatory synaptic connections strengthen and inhibitory synaptic connections weaken. In another aspect, the system is able to recall the learned spatiotemporal sequence and predict a future spatiotemporal sequence through activation of the recurrent spiking neural network.

公开(公告)号：US10147035B2

公开(公告)日：2018-12-04

申请号：US15199800

申请日：2016-06-30

Applicant: HRL Laboratories, LLC

Inventor： Jose Cruz-Albrecht ,  Timothy Derosier ,  Narayan Srinivasa

IPC: G06F15/00 ,  G06N3/063 ,  G06F7/50 ,  G06F7/523 ,  G06F7/48

Abstract: A circuit for emulating the behavior of biological neural circuits, the circuit including a plurality of nodes wherein each node comprises a neuron circuit, a time multiplexed synapse circuit coupled to an input of the neuron circuit, a time multiplexed short term plasticity (STP) circuit coupled to an input of the node and to the synapse circuit, a time multiplexed Spike Timing Dependent Plasticity (STDP) circuit coupled to the input of the node and to the synapse circuit, an output of the node coupled to the neuron circuit; and an interconnect fabric coupled between the plurality of nodes for providing coupling from the output of any node of the plurality of nodes to any input of any other node of the plurality of nodes.

公开(公告)号：US20180225833A1

公开(公告)日：2018-08-09

申请号：US15585032

申请日：2017-05-02

Applicant: HRL Laboratories, LLC

Inventor： Yongqiang Cao ,  Narayan Srinivasa ,  Shankar R. Rao

IPC: G06T7/246 ,  G06T7/73 ,  G06K9/32

CPC classification number: G06T7/20 ,  G06K9/32 ,  G06T2207/20068

Abstract: Described is a system for compensating for ego-motion during video processing. The system generates an initial estimate of camera ego-motion of a moving camera for consecutive image frame pairs of a video of a scene using a projected correlation method, the camera configured to capture the video from a moving platform. An optimal estimation of camera ego-motion is generated using the initial estimate as an input to a valley search method or an alternate line search method. All independent moving objects are detected in the scene using the described hybrid method at superior performance compared to existing methods while saving computational cost.

公开(公告)号：US20170316555A1

公开(公告)日：2017-11-02

申请号：US15481220

申请日：2017-04-06

Applicant: HRL Laboratories, LLC

Inventor： Yongqiang Cao ,  Narayan Srinivasa

IPC: G06T5/50

CPC classification number: G06T5/50 ,  G06T7/194 ,  G06T7/254 ,  G06T2207/10016 ,  G06T2207/20021 ,  G06T2207/20224

Abstract: Described is a system for ghost removal in video footage. During operation, the system generates a background subtraction map and an original bounding box that surrounds a detected foreground object through background subtraction. A detected foreground map is then generated. The detected foreground map includes at least two detected foreground (DF) bounding boxes of detected foregrounds obtained by a difference of two consecutive frames in video footage. Further, the original bounding box is then trimmed into a trimmed box, the trimmed box being a smallest box that contains the at least two DF bounding boxes. The trimmed box is designated as containing a real-world object, which can then be used for object tracking.

公开(公告)号：US09566174B1

公开(公告)日：2017-02-14

申请号：US14540835

申请日：2014-11-13

Applicant: HRL Laboratories, LLC

Inventor： Vincent De Sapio ,  Narayan Srinivasa

IPC: A61F2/72 ,  A61F2/68 ,  A61F2/54 ,  A61F2/70 ,  B25J13/08

CPC classification number: A61F2/68 ,  A61B5/0476 ,  A61B5/04888 ,  A61F2/54 ,  A61F2/72 ,  A61F2002/701 ,  A61F2002/704 ,  B25J13/00 ,  B25J13/087

Abstract: Described is a system for controlling a torque controlled prosthetic device given motor intent inferred from neuroimaging data. The system includes at least one torque controlled prosthetic device operably connected with one or more processors. Further, the system is configured to receive neuroimaging data of a user from a neuroimaging device and decode the neuroimaging data to infer spatial motion intent of the user, where the spatial motion intent includes desired motion commands of the torque controlled prosthetic device represented in a coordinate system. The system thereafter executes, with a prosthesis controller, the motion commands as torque commands to cause the torque controlled prosthetic device to move according to the spatial motion intent of the user.

Abstract translation: 描述了一种用于控制由神经成像数据推断的给定电动机意图的扭矩控制假体装置的系统。 该系统包括与一个或多个处理器可操作地连接的至少一个扭矩控制的假体装置。 此外，该系统被配置为从神经成像设备接收用户的神经成像数据并且解码神经成像数据以推断用户的空间运动意图，其中空间运动意图包括在坐标中表示的扭矩控制的假体装置的期望运动命令 系统。 该系统随后用假体控制器执行运动命令作为扭矩命令，以使扭矩控制的假体装置根据使用者的空间运动意图而移动。

公开(公告)号：US09430737B2

公开(公告)日：2016-08-30

申请号：US14015001

申请日：2013-08-30

Applicant: HRL LABORATORIES, LLC

Inventor： Narayan Srinivasa ,  Youngkwan Cho

IPC: G06N3/08 ,  G06N3/04

CPC classification number: G06N3/08 ,  G06N3/049

Abstract: A neural network, wherein a portion of the neural network comprises: a first array having a first number of neurons, wherein the dendrite of each neuron of the first array is provided for receiving an input signal indicating that a measured parameter gets closer to a predetermined value assigned to said neuron; and a second array having a second number of neurons, wherein the second number is smaller than the first number, the dendrite of each neuron of the second array forming an excitatory STDP synapse with the axon of a plurality of neurons of the first array; the dendrite of each neuron of the second array forming an excitatory STDP synapse with the axon of neighboring neurons of the second array.

Abstract translation: 神经网络，其中所述神经网络的一部分包括：具有第一数量的神经元的第一阵列，其中所述第一阵列的每个神经元的枝晶被提供用于接收输入信号，所述输入信号指示所测量的参数越接近预定的 分配给所述神经元的值; 以及具有第二数量的神经元的第二阵列，其中所述第二数目小于所述第一数目，所述第二阵列的每个神经元的枝晶与所述第一阵列的多个神经元的轴突形成兴奋性STDP突触; 第二阵列的每个神经元的枝晶形成与第二阵列的相邻神经元的轴突的兴奋性STDP突触。

公开(公告)号：US20160239947A1

公开(公告)日：2016-08-18

申请号：US15043478

申请日：2016-02-12

Applicant: HRL Laboratories, LLC

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

IPC: G06T5/20 ,  H03M1/66 ,  H03D7/14

CPC classification number: G06T5/20

Abstract: A convolution circuit includes: a plurality of input oscillators, each configured to: receive a corresponding analog input signal of a plurality of analog input signals; and output a corresponding spiking signal of a plurality of spiking signals, the corresponding spiking signal having a spiking rate in accordance with a magnitude of the corresponding analog input signal; a plurality of 1-bit DACs, each of the 1-bit DACs being configured to: receive the corresponding spiking signal of the plurality of spiking signals from a corresponding one of the input oscillators; and receive a corresponding weight of a convolution kernel comprising a plurality of weights; output a corresponding weighted output of a plurality of weighted outputs in accordance with the corresponding spiking signal and the corresponding weight; and an output oscillator configured to generate an output spike signal in accordance with the plurality of weighted outputs from the plurality of 1-bit DACs.

Abstract translation: 卷积电路包括：多个输入振荡器，每个输入振荡器被配置为：接收多个模拟输入信号的对应的模拟输入信号; 并输出多个尖峰信号的对应尖峰信号，相应的尖峰信号具有根据对应的模拟输入信号的大小的尖峰速率; 多个1位DAC，所述1位DAC中的每一个被配置为：从所述输入振荡器中的相应一个接收所述多个尖峰信号的对应尖峰信号; 并且接收包括多个权重的卷积核的相应权重; 根据相应的加标信号和相应的权重输出多个加权输出的对应加权输出; 以及输出振荡器，被配置为根据来自所述多个1位DAC的所述多个加权输出来产生输出尖峰信号。