3 citations · 7 across the 3 of their papers we have counts for
5 papers
A Systematic Exploration of Reservoir Computing for Forecasting Complex Spatiotemporal Dynamics
Jason A. Platt, Stephen G. Penny, Timothy A. Smith +2
A reservoir computer (RC) is a type of simplified recurrent neural network architecture that has demonstrated success in the prediction of spatiotemporally chaotic dynamical system…
`Next Generation' Reservoir Computing: an Empirical Data-Driven Expression of Dynamical Equations in Time-Stepping Form
Tse-Chun Chen, Stephen G. Penny, Timothy A. Smith +1
Next generation reservoir computing based on nonlinear vector autoregression (NVAR) is applied to emulate simple dynamical system models and compared to numerical integration schem…
Forecasting Using Reservoir Computing: The Role of Generalized Synchronization
Jason A. Platt, Adrian Wong, Randall Clark +2
Reservoir computers (RC) are a form of recurrent neural network (RNN) used for forecasting time series data. As with all RNNs, selecting the hyperparameters presents a challenge wh…
Machine Learning Classification Informed by a Functional Biophysical System
Jason A. Platt, Anna Miller, Lawson Fuller +1
We present a novel machine learning architecture for classification suggested by experiments on olfactory systems. The network separates input stimuli, represented as spatially dis…
Statistical Data Assimilation: Formulation and Examples from Neurobiology
Anna Miller, Dawei Li, Jason Platt +3
For the Research Topic Data Assimilation and Control: Theory and Applications in Life Sciences we first review the formulation of statistical data assimilation (SDA) and discuss al…