A5067838815- Neural dynamics and brain function
- Nonlinear Dynamics and Pattern Formation
- Functional Brain Connectivity Studies
- Opinion Dynamics and Social Influence
- Theoretical and Computational Physics
- stochastic dynamics and bifurcation
- Avian ecology and behavior
- Complex Network Analysis Techniques
- Pleistocene-Era Hominins and Archaeology
- Wildlife Ecology and Conservation
- Marine animal studies overview
- Paleontology and Evolutionary Biology
- Neural Networks and Applications
- Fractal and DNA sequence analysis
- Species Distribution and Climate Change
Universidad de Granada
2024
Universitat de Vic - Universitat Central de Catalunya
2014
Summary The Egyptian Vulture Neophron percnopterus is a threatened species throughout its worldwide range. Iberian Peninsula holds 50% of global population, which has declined by 25% over the last 20 years. Despite this negative trend, an increase in number individuals 25 years been observed Catalonia, where it colonised areas was previously unknown. In study, we describe demographic evolution increasing population Vultures central and eastern Catalonia apply models maximum likelihood...
Recent analyses, leveraging advanced theoretical techniques and high-quality data from thousands of simultaneously recorded neurons across regions in the brain, compellingly support hypothesis that neural dynamics operate near edge instability. However, these related analyses often fail to capture intricate temporal structure brain activity, as they primarily rely on time-integrated measurements neurons. Here, we present a novel framework designed explore signatures criticality diverse...
Recent analyses combining advanced theoretical techniques and high-quality data from thousands of simultaneously recorded neurons provide strong support for the hypothesis that neural dynamics operate near edge instability across regions in brain. However, these analyses, as well related studies, often fail to capture intricate temporal structure brain activity they primarily rely on time-integrated measurements neurons. In this study, we present a novel framework designed explore signatures...
We consider a simple neural network model, evolving via non-linear coupled stochastic differential equations, where couplings are random Gaussian variables with non-zero mean and arbitrary degree of reciprocity. Using path-integral approach, we analyze the dynamics, averaged over ensemble, in thermodynamic limit. Our results show that for any reciprocity couplings, two types criticality emerge, corresponding to ferromagnetic spin-glass order, respectively. The critical lines separating...
Diverse equilibrium systems with heterogeneous interactions lie at the edge of stability. Such marginally stable states are dynamically selected as most abundant ones or those largest basins attraction. On other hand, non-reciprocal (or asymmetric) inherently out equilibrium, and exhibit a rich variety steady states, including fixed points, limit cycles chaotic trajectories. How away from equilibrium? We address this question in simple neural network model, tunable level non-reciprocity. Our...