公开(公告)号：US20150379397A1

公开(公告)日：2015-12-31

申请号：US14753296

申请日：2015-06-29

申请人： Brainchip, Inc.

发明人： Peter AJ van der Made ,  Anil Shamrao Mankar

IPC分类号： G06N3/08

CPC分类号： G06N20/00 ,  G06N3/049 ,  G06N3/08

摘要： Embodiments of the present invention provides a system and a method for connecting two or more parts of a distributed and spatio-temporal spiking neural network by a means of communication, such as the Internet, used for recognizing and identifying acoustic signals using acoustic signature recognition by means of a spatio-temporal neural network. The first artificial intelligent device identifies features in a series of spatio-temporal pulse streams received from an artificial cochlear, and learns to respond to the pulse streams. The features of the pulse stream identifying an event learned by the first artificial intelligent device are transmitted to the remote artificial intelligent device over a communication protocol via a Series Address Event Representation bus, where the remote artificial intelligent device learns to respond. Further, a computing device may be connected to the remote artificial intelligent device for analyzing and controlling one or more appliances from anywhere in the world.

摘要翻译： 本发明的实施例提供了一种用于通过诸如因特网的通信手段来连接分布式和时空尖峰神经网络的两个或更多个部分的系统和方法，所述通信手段用于使用声学签名识别识别和识别声学信号， 时空神经网络的手段。 第一人造智能装置识别从人造耳蜗接收的一系列时空脉冲流中的特征，并且学习响应脉冲流。 识别由第一人造智能装置学到的事件的脉冲流的特征通过串行地址事件表示总线通过通信协议被发送到远程人造智能设备，其中远程人造智能设备学会响应。 此外，计算设备可以连接到远程人造智能设备，用于从世界上任何地方分析和控制一个或多个设备。

公开(公告)号：US11157800B2

公开(公告)日：2021-10-26

申请号：US15218075

申请日：2016-07-24

申请人： Brainchip Inc.

发明人： Peter A J Van Der Made ,  Anil Shamrao Mankar

IPC分类号： G06N3/063 ,  G06N3/04

摘要： A configurable spiking neural network based accelerator system is provided. The accelerator system may be executed on an expansion card which may be a printed circuit board. The system includes one or more application specific integrated circuits comprising at least one spiking neural processing unit and a programmable logic device mounted on the printed circuit board. The spiking neural processing unit includes digital neuron circuits and digital, dynamic synaptic circuits. The programmable logic device is compatible with a local system bus. The spiking neural processing units contain digital circuits comprises a Spiking Neural Network that handles all of the neural processing. The Spiking Neural Network requires no software programming, but can be configured to perform a specific task via the Signal Coupling device and software executing on the host computer. Configuration parameters include the connections between synapses and neurons, neuron types, neurotransmitter types, and neuromodulation sensitivities of specific neurons.

公开(公告)号：US11429857B2

公开(公告)日：2022-08-30

申请号：US16282550

申请日：2019-02-22

申请人： BrainChip, Inc.

发明人： Peter A J van der Made ,  Anil Shamrao Mankar

IPC分类号： G06N3/08 ,  G06N20/00 ,  G06N3/04

摘要： Disclosed herein are system and method embodiments for establishing secure communication with a remote artificial intelligent device. An embodiment operates by capturing an auditory signal from an auditory source. The embodiment coverts the auditory signal into a plurality of pulses having a spatio-temporal distribution. The embodiment identifies an acoustic signature in the auditory signal based on the plurality of pulses using a spatio-temporal neural network. The embodiment modifies synaptic strengths in the spatio-temporal neural network in response to the identifying thereby causing the spatio-temporal neural network to learn to respond to the acoustic signature in the acoustic signal. The embodiment transmits the plurality of pulses to the remote artificial intelligent device over a communications channel thereby causing the remote artificial intelligent device to learn to respond to the acoustic signature, and thereby allowing secure communication to be established with the remote artificial intelligent device based on the auditory signature.

公开(公告)号：US20170024644A1

公开(公告)日：2017-01-26

申请号：US15218075

申请日：2016-07-24

申请人： Brainchip Inc.

发明人： Peter AJ Van Der Made ,  Anil Shamrao Mankar

IPC分类号： G06N3/08 ,  G06N3/04

CPC分类号： G06N3/063 ,  G06N3/049

摘要： A configurable spiking neural network based accelerator system is provided. The accelerator system may be executed on an expansion card which may be a printed circuit board. The system includes one or more application specific integrated circuits comprising at least one spiking neural processing unit and a programmable logic device mounted on the printed circuit board. The spiking neural processing unit includes digital neuron circuits and digital, dynamic synaptic circuits. The programmable logic device is compatible with a local system bus. The spiking neural processing units contain digital circuits comprises a Spiking Neural Network that handles all of the neural processing. The Spiking Neural Network requires no software programming, but can be configured to perform a specific task via the Signal Coupling device and software executing on the host computer. Configuration parameters include the connections between synapses and neurons, neuron types, neurotransmitter types, and neuromodulation sensitivities of specific neurons.

摘要翻译： 提供了一种可配置的基于神经网络的加速器系统。 加速器系统可以在可以是印刷电路板的扩展卡上执行。 该系统包括一个或多个专用集成电路，其包括安装在印刷电路板上的至少一个尖峰神经处理单元和可编程逻辑器件。 刺激神经处理单元包括数字神经元电路和数字动态突触电路。 可编程逻辑器件与本地系统总线兼容。 尖峰神经处理单元包含数字电路，包括处理所有神经处理的Spiking神经网络。 Spiking神经网络不需要软件编程，但可以配置为通过信号耦合设备执行特定任务，并在主机上执行软件。 配置参数包括突触和神经元之间的连接，神经元类型，神经递质类型和特定神经元的神经调节敏感性。

公开(公告)号：US11657257B2

公开(公告)日：2023-05-23

申请号：US17962082

申请日：2022-10-07

申请人： BrainChip, Inc.

发明人： Peter Aj Van Der Made ,  Anil Shamrao Mankar

IPC分类号： G06N3/04 ,  G06N3/049 ,  G06N3/063

CPC分类号： G06N3/049 ,  G06N3/063

摘要： Disclosed herein are system, method, and computer program product embodiments for an improved spiking neural network (SNN) configured to learn and perform unsupervised extraction of features from an input stream. An embodiment operates by receiving a set of spike bits corresponding to a set synapses associated with a spiking neuron circuit. The embodiment applies a first logical AND function to a first spike bit in the set of spike bits and a first synaptic weight of a first synapse in the set of synapses. The embodiment increments a membrane potential value associated with the spiking neuron circuit based on the applying. The embodiment determines that the membrane potential value associated with the spiking neuron circuit reached a learning threshold value. The embodiment then performs a Spike Time Dependent Plasticity (STDP) learning function based on the determination that the membrane potential value of the spiking neuron circuit reached the learning threshold value.

公开(公告)号：US11468299B2

公开(公告)日：2022-10-11

申请号：US16670368

申请日：2019-10-31

申请人： BrainChip, Inc.

发明人： Peter AJ Van Der Made ,  Anil Shamrao Mankar

IPC分类号： G06N3/04 ,  G06N3/063

摘要： Disclosed herein are system, method, and computer program product embodiments for an improved spiking neural network (SNN) configured to learn and perform unsupervised extraction of features from an input stream. An embodiment operates by receiving a set of spike bits corresponding to a set synapses associated with a spiking neuron circuit. The embodiment applies a first logical AND function to a first spike bit in the set of spike bits and a first synaptic weight of a first synapse in the set of synapses. The embodiment increments a membrane potential value associated with the spiking neuron circuit based on the applying. The embodiment determines that the membrane potential value associated with the spiking neuron circuit reached a learning threshold value. The embodiment then performs a Spike Time Dependent Plasticity (STDP) learning function based on the determination that the membrane potential value of the spiking neuron circuit reached the learning threshold value.