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Generating messages from the firing of pre-synaptic neurons

A neuron, presynaptic technology, applied in the field of neural networks, which can solve problems such as hindering the expansion of model size

Active Publication Date: 2015-08-19
HRL LAB
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In some cases, this prevents scaling up to desired model sizes for both software and hardware based systems

Method used

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  • Generating messages from the firing of pre-synaptic neurons
  • Generating messages from the firing of pre-synaptic neurons
  • Generating messages from the firing of pre-synaptic neurons

Examples

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Embodiment Construction

[0049] Devices, systems, and / or methods are described to enable firing rate independent computation for neural networks (eg, brain models) by improving communication performance between neuromorphic architectures.

[0050] The highly distributed nature of neural networks, such as the animal nervous system, presents unique challenges in theoretical and computational models of neurobiology. Whether neural network models aim to provide a deeper understanding of biological function or build smarter agents, the rather limited parallelization inherent in all modern computing architectures should be overcome to achieve models that accurately represent the highly parallel nature of biology. Methods and systems according to the present disclosure can be applied in general simulation environments as well as in specialized computing environments (eg, neuromorphic architectures).

[0051] Embodiments of the present disclosure include simulating spiking neural networks. According to an em...

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Abstract

A neural network portion comprising N pre-synaptic neurons capable each of firing an action potential, wherein the number N can be encoded in a word of n bits; the neural network portion being provided for, upon firing of a number F of pre-synaptic neurons in a predetermined period of time: if F.n<N, generating a first type message, the message comprising a unique address for each pre-synaptic neuron having fired in said predetermined period of time, each address being encoded as a word of n bits; and if F.n>N, generating a second type message, the message comprising N bits and being encoded in words of n bits, wherein each one of said N pre-synaptic neurons is represented by a unique bit, each bit having a first value if the pre-synaptic neuron represented by the bit fired in said predetermined period of time, and a second value otherwise.

Description

[0001] Statement Regarding Federally Sponsored Research or Development [0002] This invention was made with United States Government support under Grant No. HR0011-09-C-0001 (SyNAPSE) awarded by the Defense Advanced Research Projects Agency (DARPA). The US Government has certain rights in this invention. [0003] related application [0004] This application is related to and claims priority to U.S. Provisional Patent Application No. 61 / 732,621, filed December 3, 2012, and U.S. Nonprovisional Patent Application No. 14 / 094,589, filed December 2, 2013, which are hereby incorporated by reference Its entire content is incorporated herein. technical field [0005] The present technology relates generally to neural networks, and more particularly to efficiently transmitting neuronal firing information in neural networks. More specifically, the present technology discloses a firing rate independent spiking message transmission in large neural network models. Background techniqu...

Claims

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Application Information

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IPC IPC(8): G06N3/02
CPCG06N3/049G06N3/063
Inventor 科里·M·蒂博基里尔·明科维奇纳拉延·斯里尼瓦桑
Owner HRL LAB
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