Skip to main navigation
Skip to search
Skip to main content
Arizona State University Home
Home
Profiles
Departments and Centers
Scholarly Works
Activities
Equipment
Grants
Datasets
Prizes
Search by expertise, name or affiliation
Asymptotic analysis of noise sensitivity in a neuronal burster
R. Kuske,
Steven Baer
Mathematical and Statistical Sciences, School of (SoMSS)
Research output
:
Contribution to journal
›
Article
›
peer-review
27
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Asymptotic analysis of noise sensitivity in a neuronal burster'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Mathematics
Spine
100%
Asymptotic Analysis
74%
Burst
67%
Influence
59%
Bursting
36%
Cycle
36%
Dependent
34%
Multiscale Methods
33%
Conductance
32%
Probabilistic Methods
31%
Asymptotic Methods
28%
Asymptotic Approximation
28%
Probability Density
26%
Stochastic Model
24%
Nonlinear Systems
20%
Framework
14%
Model
8%
Chemical Compounds
Plastic Property
89%
Conductance
73%
Medicine & Life Sciences
Noise
71%
Spine
29%
Dendritic Spines
23%
Earth & Environmental Sciences
analysis
20%
transition
15%
plasticity
12%
stem
11%
effect
6%
method
5%
Agriculture & Biology
plasticity
11%
methodology
10%
stems
8%