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ANALYZING SECOND ORDER STOCHASTICITY OF NEURAL SPIKING UNDER STIMULI-BUNDLE EXPOSURE.

Publication ,  Journal Article
Glynn, C; Tokdar, ST; Zaman, A; Caruso, VC; Mohl, JT; Willett, SM; Groh, JM
Published in: The annals of applied statistics
March 2021

Conventional analysis of neuroscience data involves computing average neural activity over a group of trials and/or a period of time. This approach may be particularly problematic when assessing the response patterns of neurons to more than one simultaneously presented stimulus. in such cases the brain must represent each individual component of the stimuli bundle, but trial-and-time-pooled averaging methods are fundamentally unequipped to address the means by which multiitem representation occurs. We introduce and investigate a novel statistical analysis framework that relates the firing pattern of a single cell, exposed to a stimuli bundle, to the ensemble of its firing patterns under each constituent stimulus. Existing statistical tools focus on what may be called "first order stochasticity" in trial-to-trial variation in the form of unstructured noise around a fixed firing rate curve associated with a given stimulus. our analysis is based upon the theoretical premise that exposure to a stimuli bundle induces additional stochasticity in the cell's response pattern in the form of a stochastically varying recombination of its single stimulus firing rate curves. We discuss challenges to statistical estimation of such "second order stochasticity" and address them with a novel dynamic admixture point process (DAPP) model. DAPP is a hierarchical point process model that decomposes second order stochasticity into a Gaussian stochastic process and a random vector of interpretable features and facilitates borrowing of information on the latter across repeated trials through latent clustering. We illustrate the utility and accuracy of the DAPP analysis with synthetic data simulation studies. We present real-world evidence of second order stochastic variation with an analysis of monkey inferior colliculus recordings under auditory stimuli.

Duke Scholars

Published In

The annals of applied statistics

DOI

EISSN

1941-7330

ISSN

1932-6157

Publication Date

March 2021

Volume

15

Issue

1

Start / End Page

41 / 63

Related Subject Headings

  • Statistics & Probability
  • 4905 Statistics
  • 1403 Econometrics
  • 0104 Statistics
 

Citation

APA
Chicago
ICMJE
MLA
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Glynn, C., Tokdar, S. T., Zaman, A., Caruso, V. C., Mohl, J. T., Willett, S. M., & Groh, J. M. (2021). ANALYZING SECOND ORDER STOCHASTICITY OF NEURAL SPIKING UNDER STIMULI-BUNDLE EXPOSURE. The Annals of Applied Statistics, 15(1), 41–63. https://doi.org/10.1214/20-aoas1383
Glynn, Chris, Surya T. Tokdar, Azeem Zaman, Valeria C. Caruso, Jeff T. Mohl, Shawn M. Willett, and Jennifer M. Groh. “ANALYZING SECOND ORDER STOCHASTICITY OF NEURAL SPIKING UNDER STIMULI-BUNDLE EXPOSURE.The Annals of Applied Statistics 15, no. 1 (March 2021): 41–63. https://doi.org/10.1214/20-aoas1383.
Glynn C, Tokdar ST, Zaman A, Caruso VC, Mohl JT, Willett SM, et al. ANALYZING SECOND ORDER STOCHASTICITY OF NEURAL SPIKING UNDER STIMULI-BUNDLE EXPOSURE. The annals of applied statistics. 2021 Mar;15(1):41–63.
Glynn, Chris, et al. “ANALYZING SECOND ORDER STOCHASTICITY OF NEURAL SPIKING UNDER STIMULI-BUNDLE EXPOSURE.The Annals of Applied Statistics, vol. 15, no. 1, Mar. 2021, pp. 41–63. Epmc, doi:10.1214/20-aoas1383.
Glynn C, Tokdar ST, Zaman A, Caruso VC, Mohl JT, Willett SM, Groh JM. ANALYZING SECOND ORDER STOCHASTICITY OF NEURAL SPIKING UNDER STIMULI-BUNDLE EXPOSURE. The annals of applied statistics. 2021 Mar;15(1):41–63.

Published In

The annals of applied statistics

DOI

EISSN

1941-7330

ISSN

1932-6157

Publication Date

March 2021

Volume

15

Issue

1

Start / End Page

41 / 63

Related Subject Headings

  • Statistics & Probability
  • 4905 Statistics
  • 1403 Econometrics
  • 0104 Statistics