May 24, 2018 · Our research shows that delays are significant and remarkable for the dynamics of recurrent inhibitory loops, since loops with more neurons have ...
This paper addresses the robust stability of recurrent neural networks (RNNs) with time-varying delays and input perturbation, where the time-varying delays ...
Lijun Pei, Yanju Zheng, Shaofen Zou, Zhanguo Li: Dynamics of four-neuron recurrent inhibitory loop with state-dependent time delays.
Lijun Pei, Yanju Zheng, Shaofen Zou, Zhanguo Li: Dynamics of four-neuron recurrent inhibitory loop with state-dependent time delays.
Jul 15, 2022 · In this paper, we investigate state-dependent neural modulation by applying a magnetic field to single neurons, using the novel micro-coil ...
Missing: four- recurrent
We have formulated and analysed a dynamic model for recurrent inhibition that takes into account the state dependence of the delayed feedback signal (due to ...
Missing: four- | Show results with:four-
Jun 17, 2015 · In many dynamical systems and complex networks time delays appear naturally in feedback loops or coupling connections of individual elements.
Missing: four- | Show results with:four-
We have formulated and analysed a dynamic model for recurrent inhibition that takes into account the state dependence of the delayed feedback signal (due to ...
May 9, 2011 · We investigate the dynamics of recurrent networks of excitatory (E) and inhibitory (I) neurons in the presence of time-dependent inputs.
Apr 19, 2009 · In this paper, we considered a delayed differential equation modeling two-neuron system with both inertial terms and time delay.