Multi-neuronal activity and functional connectivity in cell assemblies

TY - JOUR

T1 - Multi-neuronal activity and functional connectivity in cell assemblies

AU - Roudi, Yasser

AU - Dunn, Benjamin

AU - Hertz, John

PY - 2015/6/1

Y1 - 2015/6/1

N2 - Our ability to collect large amounts of data from many cells has been paralleled by the development of powerful statistical models for extracting information from this data. Here we discuss how the activity of cell assemblies can be analyzed using these models, focusing on the generalized linear models and the maximum entropy models and describing a number of recent studies that employ these tools for analyzing multi-neuronal activity. We show results from simulations comparing inferred functional connectivity, pairwise correlations and the real synaptic connections in simulated networks demonstrating the power of statistical models in inferring functional connectivity. Further development of network reconstruction techniques based on statistical models should lead to more powerful methods of understanding functional anatomy of cell assemblies.

AB - Our ability to collect large amounts of data from many cells has been paralleled by the development of powerful statistical models for extracting information from this data. Here we discuss how the activity of cell assemblies can be analyzed using these models, focusing on the generalized linear models and the maximum entropy models and describing a number of recent studies that employ these tools for analyzing multi-neuronal activity. We show results from simulations comparing inferred functional connectivity, pairwise correlations and the real synaptic connections in simulated networks demonstrating the power of statistical models in inferring functional connectivity. Further development of network reconstruction techniques based on statistical models should lead to more powerful methods of understanding functional anatomy of cell assemblies.

U2 - 10.1016/j.conb.2014.10.011

DO - 10.1016/j.conb.2014.10.011

M3 - Journal article

C2 - 25463563

SN - 0959-4388

VL - 32

SP - 38

EP - 44

JO - Current Opinion in Neurobiology

JF - Current Opinion in Neurobiology

ER -