97 citations · 121 across the 5 of their papers we have counts for
5 papers
A causal inference approach of monosynapses from spike trains
Zach Saccomano, Sam Mckenzie, Horacio Rotstein +1
Neuroscientists have worked on the problem of estimating synaptic properties, such as connectivity and strength, from simultaneously recorded spike trains since the 1960s. Recent y…
Short-term Temporal Dependency Detection under Heterogeneous Event Dynamic with Hawkes Processes
Yu Chen, Fengpei Li, Anderson Schneider +3
Many event sequence data exhibit mutually exciting or inhibiting patterns. Reliable detection of such temporal dependency is crucial for scientific investigation. The de facto mode…
On the role of theory and modeling in neuroscience
Daniel Levenstein, Veronica A. Alvarez, Asohan Amarasingham +17
In recent years, the field of neuroscience has gone through rapid experimental advances and a significant increase in the use of quantitative and computational methods. This growth…
Monosynaptic inference via finely-timed spikes
Jonathan Platkiewicz, Zachary Saccomano, Sam McKenzie +2
Observations of finely-timed spike relationships in population recordings have been used to support partial reconstruction of neural microcircuit diagrams. In this approach, fine-t…
Conditional Modeling and the Jitter Method of Spike Re-sampling: Supplement
Asohan Amarasingham, Matthew T. Harrison, Nicholas G. Hatsopoulos +1
This technical report accompanies the manuscript "Conditional Modeling and the Jitter Method of Spike Re-sampling." It contains further details, comments, references, and equations…