10 citations · 12 across the 4 of their papers we have counts for
5 papers
Spike-by-Spike Frequency Analysis of Amperometry Traces Provides Statistical Validation of Observations in the Time Domain
Jeyashree Krishnan, Zeyu Lian, Pieter E. Oomen +4
Amperometry is a commonly used electrochemical method for studying the process of exocytosis in real-time. Given the high precision of recording that amperometry procedures offer,…
Tree-Based Learning on Amperometric Time Series Data Demonstrates High Accuracy for Classification
Jeyashree Krishnan, Zeyu Lian, Pieter E. Oomen +4
Elucidating exocytosis processes provide insights into cellular neurotransmission mechanisms, and may have potential in neurodegenerative diseases research. Amperometry is an estab…
A Long-Range Ising Model of a Barabási-Albert Network
Jeyashree Krishnan, Reza Torabi, Edoardo Di Napoli +2
Networks that have power-law connectivity, commonly referred to as the scale-free networks, are an important class of complex networks. A heterogeneous mean-field approximation has…
A Modified Ising Model of Barabási-Albert Network with Gene-type Spins
Jeyashree Krishnan, Reza Torabi, Edoardo Di Napoli +1
The central question of systems biology is to understand how individual components of a biological system such as genes or proteins cooperate in emerging phenotypes resulting in th…
Perfect spike detection via time reversal
Jeyashree Krishnan, PierGianLuca Porta Mana, Moritz Helias +2
Spiking neuronal networks are usually simulated with three main simulation schemes: the classical time-driven and event-driven schemes, and the more recent hybrid scheme. All three…