nonlinear spiking neural P systemsuniversalityregister machinesThis paper proposes a new variant of spiking neural P systems (in short, SNP systems), nonlinear spiking neural P systems (in short, NSNP systems). In NSNP systems, the state of each neuron is denoted by a real number, and a ...
This paper proposes NSNPRIS (convolutional nonlinear spiking neural P systems for referring image segmentation), a novel model based on convolutional nonlinear spiking neural P systems. NSNPRIS features NSNPFusion and Language Gate modules to enhance feature interaction during encoding, along with an ...
Coexisting solutions and their chaotic neighborhood in the dynamical systems of nonlinear optics 机译:非线性光学动力学系统中共存解及其混沌邻域 I. Śliwa,P. Szlachetka,K. Grygiel, Nonlinear Dynamics 2009 原文传递 原文传递并翻译 示例 加入购物车 收藏 分享 46 Chaos in the fractional-order ...
The computations performed by a neural circuit depend on how it integrates its input signals into an output of its own. In the retina, ganglion cells integrate visual information over time, space, and chromatic channels. Unlike the former two, chromatic integration is largely unexplored. Analogous...
For both marmoset and mouse retina recordings, we placed retina pieces ganglion-cell-side-down on planar multielectrode arrays (Multichannel Systems; 252 electrodes; 10 or 30 μm electrode diameter, either 60 or 100 μm minimal electrode distance) with the help of a semipermeable dialysis me...
1 Introduction The classical description of the dynamics of a large set of neurons is based on de- terministic/stochastic differential systems for the excitatory-inhibitory neuron net- work [1, 2]. One of the most classical models is the so-called noisy leaky integrate and fire (NLIF) ...
Since these effects arise from an intrinsic neuronal property, they are likely to be present across sensory systems and, thus, our results are a critical step toward a general understanding of how correlated spiking relates to the structure and function of cortical networks. 展开 关键词: ...
Distributed synchrony in a cell assembly of spiking neurons Nonlinear DynamicsWe investigate the formation of a Hebbian cell assembly of spiking neurons, using a temporal synaptic learning curve that is based on ... N Levy,D Horn,I Meilijson,... - 《Neural Networks》 被引量: 220发表: 2001...
Meng, Z., Xiang, Z.: Passivity analysis of memristor-based recurrent neural networks with mixed time-varying delays. Neurocomputing 165, 270–279 (2015) Article Google Scholar Sheng, Y., Huang, T., Zeng, Z., Li, P.: Exponential stabilization of inertial memristive neural networks with mu...
Abstract The problem of binary factorization of complex patterns in recurrent Hopfield-like neural network was studied by means of computer simulation. The network ability to perform a factorization was analyzed depending on the number and sparseness of factors mixed in presented patterns. Binary factori...