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Neural integrated circuits with biological behavior

A circuit and neural technology, applied in the field of neural network circuits, can solve problems such as short-term plasticity

Active Publication Date: 2020-04-28
HRL LAB
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the circuits of references [2] and [3] only include some biological behavior
In the following reference [4] incorporated herein by reference, biological behaviors such as homeostatic plasticity (HP), kinetic dynamics (KD) and axonal delay ( AD); however, reference [4] does not include synapses with short-term plasticity (STP) and spike timing-dependent plasticity (STDP), and does not integrate behavior in circuits with multiple neurons and synapses

Method used

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  • Neural integrated circuits with biological behavior
  • Neural integrated circuits with biological behavior
  • Neural integrated circuits with biological behavior

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Embodiment Construction

[0028] In the following description, numerous specific details are set forth in order to clearly describe various specific embodiments disclosed herein. However, it will be understood by those skilled in the art that the presently claimed invention may be practiced without all of the specific details discussed below. In other instances, well-known features have not been described in order not to obscure the invention.

[0029] The present disclosure describes a neural circuit 10 having multiple processing nodes 12, as described in Figure 1A As shown in , the processing nodes 12 may be arranged in an array and in one embodiment, the array may be a 32x32 node array for a total of 1024 nodes. except in Figure 1A Processing nodes 12 may be arranged in any arbitrary topology other than the array shown in FIG. Neural circuit 10 includes electrical neurons and synaptic circuits with spikes at biological rates. Electronic neurons and synapses can mimic multiple behaviors of biolog...

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Abstract

A circuit for simulating the behavior of a biological neural circuit, the circuit comprising: a plurality of nodes, wherein each node comprises: a neuron circuit; a time multiplexed synapse circuit, the time multiplexed synapse circuit The synaptic circuit is coupled to the input of the neuron circuit; the short-term plasticity (STP) circuit of time multiplexing, the short-term plasticity (STP) circuit of this time multiplexing is coupled to the input of the node and is coupled to the synaptic circuit; A multiplexed spike timing-dependent plasticity (STDP) circuit coupled to the input of the node and coupled to the synaptic circuit; an output of the node coupled to the neuron a circuit; and an interconnect structure coupled between the plurality of nodes for providing coupling from an output of any node of the plurality of nodes to any input of any other node of the plurality of nodes.

Description

[0001] Cross References to Related Applications [0002] This application claims priority to and benefit of U.S.S.N. 15 / 199,800 filed June 30, 2016, which is incorporated herein by reference. [0003] This application is identical to U.S. Patent Application No. 14 / 453,154, filed August 6, 2014, and U.S. Patent Application No. 13 / 679,727, filed November 16, 2012 (which is now U.S. Patent Application Serial No. 8,996,431, filed March 31, 2015). Patents), these two applications are incorporated herein as if fully set forth. [0004] Statement Regarding Federal Funding [0005] This invention was made under US Government Contract HRL0011-09-C-001. The US Government has certain rights in this invention. 【Technical field】 [0006] The present disclosure relates to neural network circuits. 【Background technique】 [0007] In the prior art, circuits have been used to simulate the behavior of biological neural circuits. In the following reference [1], incorporated herein by refer...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06N3/063G06N3/04
CPCG06F7/48G06F2207/4824G06N3/049G06N3/088G06N3/063G06F7/50G06F7/523
Inventor 约瑟·克鲁兹-阿尔布雷克特蒂莫西·德罗西耶纳拉扬·斯里尼瓦沙
Owner HRL LAB
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