Over the last years, the amount of research performed in the field of spiking neural networks
has been growing steadily. Spiking neurons are modeled to approximate the complex …

Precise spatio-temporal patterns of neuronal action potentials underly eg sensory
representations and control of muscle activities. However, it is not known how the synaptic …

The ways to creating practically effective method for spiking neuron networks learning, that
would be appropriate for implementing in neuromorphic hardware and at the same time …

A study of possibility to model the learning process on base of different forms of timing-
dependent plasticity (STDP) was performed. It is shown that the learning ability depends on …

The purpose of supervised learning with temporal encoding for spiking neurons is to make
the neurons emit arbitrary spike trains in response to given synaptic inputs. Recent years …

脉冲神经元应用脉冲时间编码神经信息, 监督学习的目标是对于给定的突触输入产生任意的期望
脉冲序列. 但由于神经元脉冲发放过程的不连续性, 构建高效的脉冲神经元监督学习算法非常 …

Two approaches to utilize spiking neural networks, applicable for implementing in
neuromorphic hardware with ultra-low power consumption, in the task of recognizing gender …

Results of investigations of learnability of a spiking neuron in case of complex input signals
which encode binary vectors are presented. The disadvantages of the supervised learning …

Исследована возможность моделирования процесса обучения на основе различных
форм долговременной синаптической пластичности (STDP). Показано, что …

Communication of complex content is an important ability in our everyday life. For
communication to be possible, several requirements need to be met: The individual …