Hot coffee: associative memory with bump attractor cell assemblies of spiking neurons.
Hot coffee: associative memory with bump attractor cell assemblies of spiking neurons.
复制标题
热咖啡：与尖峰神经元的凹凸吸引子细胞组件相关的联想记忆。
DOI：
10.1007/s10827-020-00758-1
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发表时间：
2020
影响因子：
1.2
通讯作者：
Huyck CR
中科院分区：
文献类型：
--
作者：
Huyck CR
尖峰神经元的网络可以有持续发射的稳定碰撞吸引子来表示连续空间（如温度）。这可以通过具有局部兴奋性突触和局部环绕抑制性突触的拓扑来完成。激活吸引子中的大范围可能导致多个凸起，这显示了排斥子和吸引子动力学;然而，这些凸起可以通过克服排斥子动力学来合并。一个简单的关联记忆可以包括这些凹凸吸引子，允许在这些记忆中使用连续变量，并且这些关联可以通过赫布规则来学习。这些模拟与生物网络有关，表明这是朝着更完整的神经认知联想记忆迈出的一步。
Networks of spiking neurons can have persistently firing stable bump attractors to represent continuous spaces (like temperature). This can be done with a topology with local excitatory synapses and local surround inhibitory synapses. Activating large ranges in the attractor can lead to multiple bumps, that show repeller and attractor dynamics; however, these bumps can be merged by overcoming the repeller dynamics. A simple associative memory can include these bump attractors, allowing the use of continuous variables in these memories, and these associations can be learned by Hebbian rules. These simulations are related to biological networks, showing that this is a step toward a more complete neural cognitive associative memory.