Open Access. Powered by Scholars. Published by Universities.®
Other Statistics and Probability Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Applied Mathematics (3)
- Other Applied Mathematics (3)
- Applied Statistics (2)
- Dynamical Systems (2)
- Life Sciences (2)
-
- Mathematics (2)
- Non-linear Dynamics (2)
- Analysis (1)
- Computational Neuroscience (1)
- Dynamic Systems (1)
- Medicine and Health Sciences (1)
- Neuroscience and Neurobiology (1)
- Numerical Analysis and Computation (1)
- Ordinary Differential Equations and Applied Dynamics (1)
- Other Mathematics (1)
- Statistical Methodology (1)
- Statistical Models (1)
- Systems Neuroscience (1)
- Keyword
-
- Bayesian (1)
- Computational Neuroscience (1)
- Data Analysis (1)
- Data-Driven Modeling (1)
- Dimension reduction (1)
-
- Epidemiology (1)
- Intrinsic heterogeneity (1)
- Leaky integrate-and-fire (1)
- Loss Functions (1)
- Network heterogeneity (1)
- Nonparametric (1)
- Olfaction (1)
- Olfactory Bulb (1)
- Profile Monitoring (1)
- Quality Control (1)
- Recurrent E/I network (1)
- Semiparametric (1)
- Sensitivity Analysis (1)
- Sensory Processing (1)
- Publication
- Publication Type
Articles 1 - 4 of 4
Full-Text Articles in Other Statistics and Probability
Role Of Inhibition And Spiking Variability In Ortho- And Retronasal Olfactory Processing, Michelle F. Craft
Role Of Inhibition And Spiking Variability In Ortho- And Retronasal Olfactory Processing, Michelle F. Craft
Theses and Dissertations
Odor perception is the impetus for important animal behaviors, most pertinently for feeding, but also for mating and communication. There are two predominate modes of odor processing: odors pass through the front of nose (ortho) while inhaling and sniffing, or through the rear (retro) during exhalation and while eating and drinking. Despite the importance of olfaction for an animal’s well-being and specifically that ortho and retro naturally occur, it is unknown whether the modality (ortho versus retro) is transmitted to cortical brain regions, which could significantly instruct how odors are processed. Prior imaging studies show different …
Parametric, Nonparametric, And Semiparametric Linear Regression In Classical And Bayesian Statistical Quality Control, Chelsea L. Jones
Parametric, Nonparametric, And Semiparametric Linear Regression In Classical And Bayesian Statistical Quality Control, Chelsea L. Jones
Theses and Dissertations
Statistical process control (SPC) is used in many fields to understand and monitor desired processes, such as manufacturing, public health, and network traffic. SPC is categorized into two phases; in Phase I historical data is used to inform parameter estimates for a statistical model and Phase II implements this statistical model to monitor a live ongoing process. Within both phases, profile monitoring is a method to understand the functional relationship between response and explanatory variables by estimating and tracking its parameters. In profile monitoring, control charts are often used as graphical tools to visually observe process behaviors. We construct a …
On The Analysis Of The Sir Epidemic Model For Small Networks: An Application In Hospital Settings, Martin Lopez-Garcia
On The Analysis Of The Sir Epidemic Model For Small Networks: An Application In Hospital Settings, Martin Lopez-Garcia
Biology and Medicine Through Mathematics Conference
No abstract provided.
Firing Rate Dynamics In Recurrent Spiking Neural Networks With Intrinsic And Network Heterogeneity, Cheng Ly
Firing Rate Dynamics In Recurrent Spiking Neural Networks With Intrinsic And Network Heterogeneity, Cheng Ly
Statistical Sciences and Operations Research Publications
Heterogeneity of neural attributes has recently gained a lot of attention and is increasing recognized as a crucial feature in neural processing. Despite its importance, this physiological feature has traditionally been neglected in theoretical studies of cortical neural networks. Thus, there is still a lot unknown about the consequences of cellular and circuit heterogeneity in spiking neural networks. In particular, combining network or synaptic heterogeneity and intrinsic heterogeneity has yet to be considered systematically despite the fact that both are known to exist and likely have significant roles in neural network dynamics. In a canonical recurrent spiking neural network model, …