4 papers
Approximate Macroscopic Dynamics of Spiking Neural Networks Based on Solutions to the Transport Equation
Wilten Nicola, Sue Ann Campbell
Firing rate fluctuations in neural populations are observed experimentally over multiple time scales, in single neurons, across trials when elicited by stimuli, and across populati…
Characterizing Memristive Nanowire Network Models via a Unified Computational Framework
Marcus Kasdorf, Diego Simpson-Ochoa, Abdelrahman Bekhit +3
Randomly self-assembled nanowire networks (NWNs) are dynamical systems in which junctions between two nanowires can be modelled as memristive units viewed as adaptive resistors wit…
The Coupling Strength Is a Scale Parameter in Threshold Power-Law Reservoirs and Does Not Influence Training Accuracy
Wilten Nicola
In reservoir computing, the coupling strength of the initial untrained recurrent neural network (the reservoir) is an important hyperparameter that can be varied for accurate train…
Input Driven Synchronization of Chaotic Neural Networks with Analyticaly Determined Conditional Lyapunov Exponents
Jordan Culp, Wilten Nicola
Recurrent neural networks (RNNs) with random, but sufficiently strong and balanced coupling display a well known high-dimensional chaotic dynamics. Here, we investigate if external…