Unknown

Dataset Information

0

Modeling higher-order correlations within cortical microcolumns.


ABSTRACT: We statistically characterize the population spiking activity obtained from simultaneous recordings of neurons across all layers of a cortical microcolumn. Three types of models are compared: an Ising model which captures pairwise correlations between units, a Restricted Boltzmann Machine (RBM) which allows for modeling of higher-order correlations, and a semi-Restricted Boltzmann Machine which is a combination of Ising and RBM models. Model parameters were estimated in a fast and efficient manner using minimum probability flow, and log likelihoods were compared using annealed importance sampling. The higher-order models reveal localized activity patterns which reflect the laminar organization of neurons within a cortical column. The higher-order models also outperformed the Ising model in log-likelihood: On populations of 20 cells, the RBM had 10% higher log-likelihood (relative to an independent model) than a pairwise model, increasing to 45% gain in a larger network with 100 spatiotemporal elements, consisting of 10 neurons over 10 time steps. We further removed the need to model stimulus-induced correlations by incorporating a peri-stimulus time histogram term, in which case the higher order models continued to perform best. These results demonstrate the importance of higher-order interactions to describe the structure of correlated activity in cortical networks. Boltzmann Machines with hidden units provide a succinct and effective way to capture these dependencies without increasing the difficulty of model estimation and evaluation.

SUBMITTER: Koster U 

PROVIDER: S-EPMC4081002 | biostudies-literature | 2014 Jul

REPOSITORIES: biostudies-literature

altmetric image

Publications

Modeling higher-order correlations within cortical microcolumns.

Köster Urs U   Sohl-Dickstein Jascha J   Gray Charles M CM   Olshausen Bruno A BA  

PLoS computational biology 20140703 7


We statistically characterize the population spiking activity obtained from simultaneous recordings of neurons across all layers of a cortical microcolumn. Three types of models are compared: an Ising model which captures pairwise correlations between units, a Restricted Boltzmann Machine (RBM) which allows for modeling of higher-order correlations, and a semi-Restricted Boltzmann Machine which is a combination of Ising and RBM models. Model parameters were estimated in a fast and efficient mann  ...[more]

Similar Datasets

| S-EPMC2912961 | biostudies-literature
| S-EPMC3369943 | biostudies-literature
| S-EPMC7069066 | biostudies-literature
| S-EPMC5374737 | biostudies-literature
| S-EPMC8204450 | biostudies-literature
| S-EPMC2745583 | biostudies-literature
2021-05-23 | GSE146290 | GEO
| S-EPMC3683056 | biostudies-other
| S-EPMC6018949 | biostudies-literature
2021-05-23 | GSE146164 | GEO