33 citations · 117 across the 14 of their papers we have counts for
8 papers · 1 filter
Ubiquitous proximity to a critical state for collective neural activity in the CA1 region of freely moving mice
Yi-Ling Chen, Chun-Chung Chen, Yu-Ying Mei +3
Using miniscope recordings of calcium fluorescence signals in the CA1 region of the hippocampus of mice, we monitor the neural activity of hippocampal regions while the animals are…
Positive Feedback and Synchronized Bursts in Neuronal Cultures
Yu-Ting Huang, Yu-Lin Chang, Chun-Chung Chen +2
Synchronized bursts (SBs) with complex structures are common in neuronal cultures. Although the origin of SBs is still unclear, they have been studied for their information process…
Measurement of Anticipative Power of a Retina by Predictive Information
Kevin Sean Chen, Chun-Chung Chen, C. K. Chan
The predictive properties of a retina are studied by measuring the mutual information (MI) between its stimulation and the corresponding firing rates while it is being probed by a…
Propagation and synchronization of reverberatory bursts in developing cultured networks
Chih-Hsu Huang, Yu-Ting Huang, Chun-Chung Chen +1
Developing networks of neural systems can exhibit spontaneous, synchronous activities called neural bursts, which can be important in the organization of functional neural circuits…
Adaptive Synchronization and Anticipatory Dynamical System
Ying-Jen Yang, Chun-Chung Chen, Pik-Yin Lai +1
Many biological systems can sense periodical variations in a stimulus input and produce well-timed, anticipatory responses after the input is removed. Such systems show memory effe…
Reconstruction of network structures from repeating spike patterns in simulated bursting dynamics
Hao Song, Chun-Chung Chen, Jyh-Jang Sun +2
Repeating patterns of spike sequences from a neuronal network have been proposed to be useful in the reconstruction of the network topology. Reverberations in a physiologically rea…
Event-driven simulations of a plastic, spiking neural network
Chun-Chung Chen, David Jasnow
We consider a fully-connected network of leaky integrate-and-fire neurons with spike-timing-dependent plasticity. The plasticity is controlled by a parameter representing the expec…
Mean-field theory of a plastic network of integrate-and-fire neurons
Chun-Chung Chen, David Jasnow
We consider a noise driven network of integrate-and-fire neurons. The network evolves as result of the activities of the neurons following spike-timing-dependent plasticity rules.…