We propose and demonstrate in this letter that spiking neural networks (SNN), consisting of spiking neurons that propagate information by the timing of spikes, are a better alternative to the coding ...

The Spiking Neural Network (SNN), as one of the biologically inspired neural network infrastructures, has drawn increasing attention recently. It adopts binary spike activations to transmit ...

These occur fairly rarely, so the networks get by on much less energy." Developing artificial neural networks that also "spike" in this way is thus an important field in AI research. Neural networks ...

Spiking Neural Networks (SNNs) are considered as the third generation of artificial neural networks ... once its potential reaches the threshold, the neuron will be fired with a spike.

and to generalize with performances that are better than or comparable to those of artificial neural networks. Finally we show that the synaptic dynamics is compatible with many of the experimental ...

Developing artificial neural networks that also "spike" in this way is thus an important field in AI research. Neural networks must be trained if they are to be capable of completing certain tasks.

神经解码(Neural Decoding)指的是从反应到刺激的反映射，其最大的挑战是从尖峰序列(spike sequence)来重构刺激(或刺激的某个方面)。神经解码将在第三章中讨论。在第四章中，我们考虑信息的容量是如何由动作电位序列表达与最大化的。在我们开始神经编码的探索 ...