32 citations · 32 across the 1 of their papers we have counts for
6 papers
Structural stability of interaction networks against negative external fields
S. Yoon, A. V. Goltsev, J. F. F. Mendes
We explore structural stability of weighted and unweighted networks of positively interacting agents against a negative external field. We study how the agents support the activity…
Noise-enhanced nonlinear response and the role of modular structure for signal detection in neuronal networks
M. A. Lopes, K. -E. Lee, A. V. Goltsev +1
We find that sensory noise delivered together with a weak periodic signal not only enhances nonlinear response of neuronal networks, but also improves the synchronization of the re…
Critical phenomena and noise-induced phase transitions in neuronal networks
K. -E. Lee, M. A. Lopes, J. F. F. Mendes +1
We study numerically and analytically first- and second-order phase transitions in neuronal networks stimulated by shot noise (a flow of random spikes bombarding neurons). Using an…
Neural networks with dynamical synapses: from mixed-mode oscillations and spindles to chaos
K. -E. Lee, A. V. Goltsev, M. A. Lopes +1
Understanding of short-term synaptic depression (STSD) and other forms of synaptic plasticity is a topical problem in neuroscience. Here we study the role of STSD in the formation…
Critical and resonance phenomena in neural networks
A. V. Goltsev, M. A. Lopes, K. -E. Lee +1
Brain rhythms contribute to every aspect of brain function. Here, we study critical and resonance phenomena that precede the emergence of brain rhythms. Using an analytical approac…
Zero Pearson Coefficient for Strongly Correlated Growing Trees
S. N. Dorogovtsev, A. L. Ferreira, A. V. Goltsev +1
We obtained Pearson's coefficient of strongly correlated recursive networks growing by preferential attachment of every new vertex by edges. We found that the Pearson coefficie…