5 papers
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…
Normalized Connectomes Show Increased Synchronizability with Age Through Their Second Largest Eigenvalue
Wilten Nicola, Sue Ann Campbell
The synchronization of different brain regions is widely observed under both normal and pathological conditions such as epilepsy. However, the relationship between the dynamics of…
A High GOPs/Slice Time Series Classifier for Portable and Embedded Biomedical Applications
Hamid Soleimani, Aliasghar, Makhlooghpour +3
Nowadays a diverse range of physiological data can be captured continuously for various applications in particular wellbeing and healthcare. Such data require efficient methods for…
Gap junction plasticity can lead to spindle oscillations
Guillaume Pernelle, Wilten Nicola, Claudia Clopath
Patterns of waxing and waning oscillations, called spindles, are observed in multiple brain regions during sleep. Spindle are thought to be involved in memory consolidation. The or…