Abstract Systems neuroscience approaches with a focus on large-scale brain organization
and network analysis are advancing foundational knowledge of how cognitive control …

The capacity of the human brain to interpret and respond to multiple temporal scales in its
surroundings suggests that its internal interactions must also be able to operate over a …

Spontaneous symmetry breaking (SSB) is essential and plays a vital role in many natural
phenomena, including the formation of the Turing pattern in organisms and complex …

We consider synchronization properties of arrays of spin-torque nano-oscillators coupled via
an RC load. We show that while the fully synchronized state of identical oscillators may be …

Spontaneous activity found in neural networks usually results in a reduction of
computational performance. As a consequence, artificial neural networks are often operated …

We explore the dynamical transitions facilitated by the symmetry breaking dynamical states
in a directly coupled limit-cycle oscillators, when the oscillators are interacting through …

Spontaneous symmetry breaking is an important phenomenon observed in various fields
including physics and biology. In this connection, we here show that the trade-off between …

The persistent neural activity at a global scale, either stationary or oscillatory, can be
explained by the use of the excitatory-inhibitory neural network models. This state of the …

The phenomenon of spontaneous symmetry breaking facilitates the onset of a plethora of
nontrivial dynamical states/patterns in a wide variety of dynamical systems. Spontaneous …

We consider two populations of the globally coupled Sakaguchi-Kuramoto model with the
same intra-and interpopulations coupling strengths. The oscillators constituting the …