发明名称 |
BEHAVIORAL HOMEOSTASIS IN ARTIFICIAL NERVOUS SYSTEMS USING DYNAMICAL SPIKING NEURON MODELS |
摘要 |
Methods and apparatus are provided for implementing behavioral homeostasis in artificial neurons that use a dynamical spiking neuron model. The homeostatic mechanism may be driven by neuron state, rather than by neuron spiking rate, and this mechanism may drive changes to the neuron temporal dynamics, rather than to contributions of input or weights. As a result, certain aspects of the present disclosure are a more natural fit with spiking neural networks and have many functional and computational advantages. One example method for implementing homeostasis of an artificial nervous system generally includes determining one or more state variables of a neuron model used by an artificial neuron, based at least in part on dynamics of the neuron model; determining one or more conditions based at least in part on the state variables; and adjusting the dynamics based at least in part on the conditions. |
申请公布号 |
US2015046383(A1) |
申请公布日期 |
2015.02.12 |
申请号 |
US201414167727 |
申请日期 |
2014.01.29 |
申请人 |
QUALCOMM Incorporated |
发明人 |
HUNZINGER Jason Frank;CHAN Victor Hokkiu |
分类号 |
G06N3/08 |
主分类号 |
G06N3/08 |
代理机构 |
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代理人 |
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主权项 |
1. A method for implementing homeostasis of an artificial nervous system, comprising:
determining one or more state variables of a neuron model used by an artificial neuron, based at least in part on dynamics of the neuron model; determining one or more conditions based at least in part on the state variables; and adjusting the dynamics based at least in part on the conditions. |
地址 |
San Diego CA US |