369 citations · 992 across the 36 of their papers we have counts for
4 papers · 1 filter
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…
Measuring spike train synchrony
Thomas Kreuz, Julie S. Haas, Alice Morelli +2
Estimating the degree of synchrony or reliability between two or more spike trains is a frequent task in both experimental and computational neuroscience. In recent years, many dif…
Reading Neural Encodings using Phase Space Methods
Henry D. I. Abarbanel, Evren C. Tumer
Environmental signals sensed by nervous systems are often represented in spike trains carried from sensory neurons to higher neural functions where decisions and functional actions…
Robustness and Enhancement of Neural Synchronization by Activity-Dependent Coupling
Valentin P. Zhigulin, Mikhail I. Rabinovich, Ramon Huerta +1
We study the synchronization of two model neurons coupled through a synapse having an activity-dependent strength. Our synapse follows the rules of Spike-Timing Dependent Plasticit…