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A recurrent neural network-based framework to non-linearly model behaviorally relevant neural dynamics

A key objective of several neuroscience studies is to understand and model how the dynamics of distinct populations of neurons give rise to specific human and animal behaviors. Many existing methods ...
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A Nonlinear Dynamical Systems-Based Modeling Approach for Stochastic Simulation of Streamflow and Understanding Predictability

1 Civil, Environmental and Architectural Engineering, University of Colorado Boulder, Boulder, CO, USA, 2 Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado ...
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COMPARISON OF THE PERFORMANCE OF THREE TYPES OF MULTIPLE REGRESSION FOR PHENOLOGY IN BAVARIA IN A DYNAMICAL-STATISTICAL MODEL APPROACH

Some of the most obvious consequences of anthropogenic climate change are observed changes in the dates of the occurrence of phenological events. Most prominently, observations from the Northern ...
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The Qualitative Analysis of a Dynamical System Modeling the Information of Two-Layer Scales on Pure Metals

This is a preview. Log in through your library . Abstract F. Gesmundo and F. Viani have modeled the growth rates of two-oxide scales by the system: $\frac{dq_1}{dt} = m\frac{K_1}{2q_1} - \frac{m - ...