Sam Behseta
Overview
Explore the profile of Sam Behseta including associated specialties, affiliations and a list of published articles.
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Articles
15
Citations
81
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0
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Recent Articles
1.
Rai K, Yin H, Bengo A, Cheek M, Courville R, Bagheri E, et al.
PLoS One
. 2023 Apr;
18(4):e0268415.
PMID: 37053140
Immune defense is a complex trait that affects and is affected by many other host factors, including sex, mating, and dietary environment. We used the agriculturally relevant fungal emtomopathogen, Beauveria...
2.
McEligot A, Cuajungco M, Behseta S, Chandler L, Chauhan H, Mitra S, et al.
Calif J Health Promot
. 2019 Mar;
16(1):1-5.
PMID: 30853869
No abstract available.
3.
Zhou B, Moorman D, Behseta S, Ombao H, Shahbaba B
J Am Stat Assoc
. 2016 Dec;
111(514):459-471.
PMID: 27990034
The goal of this paper is to develop a novel statistical model for studying cross-neuronal spike train interactions during decision making. For an individual to successfully complete the task of...
4.
McEligot A, Behseta S, Cuajungco M, Van Horn J, Toga A
Calif J Health Promot
. 2016 Jun;
13(3):vi-ix.
PMID: 27257409
No abstract available.
5.
Shahbaba B, Zhou B, Lan S, Ombao H, Moorman D, Behseta S
Neural Comput
. 2014 Jun;
26(9):2025-51.
PMID: 24922500
We propose a scalable semiparametric Bayesian model to capture dependencies among multiple neurons by detecting their cofiring (possibly with some lag time) patterns over time. After discretizing time so there...
6.
Kottas A, Behseta S, Moorman D, Poynor V, Olson C
J Neurosci Methods
. 2011 Oct;
203(1):241-53.
PMID: 21983110
We propose a flexible hierarchical Bayesian nonparametric modeling approach to compare the spiking patterns of neurons recorded under multiple experimental conditions. In particular, we showcase the application of our statistical...
7.
McMillen T, Simen P, Behseta S
Neural Netw
. 2011 Mar;
24(5):417-26.
PMID: 21377327
Optimal performance and physically plausible mechanisms for achieving it have been completely characterized for a general class of two-alternative, free response decision making tasks, and data suggest that humans can...
8.
Behseta S, Chenouri S
Stat Med
. 2011 Feb;
30(12):1441-54.
PMID: 21341297
Often in neurophysiological studies, scientists are interested in testing hypotheses regarding the equality of the overall intensity functions of a group of neurons when recorded under two different experimental conditions....
9.
McMillen T, Behseta S
Neural Comput
. 2009 Oct;
22(2):539-80.
PMID: 19842983
We consider the effects of signal sharpness or acuity on the performance of neural models of decision making. In these models, a vector of signals is presented, and the subject...
10.
Kottas A, Behseta S
Biometrics
. 2009 May;
66(1):277-86.
PMID: 19432774
We propose a fully inferential model-based approach to the problem of comparing the firing patterns of a neuron recorded under two distinct experimental conditions. The methodology is based on nonhomogeneous...