[HTML][HTML] How advances in neural recording affect data analysis

IH Stevenson, KP Kording - Nature neuroscience, 2011 - nature.com
Over the last five decades, progress in neural recording techniques has allowed the number
of simultaneously recorded neurons to double approximately every 7 years, mimicking …

[HTML][HTML] Connectivity inference from neural recording data: Challenges, mathematical bases and research directions

IM de Abril, J Yoshimoto, K Doya - Neural Networks, 2018 - Elsevier
This article presents a review of computational methods for connectivity inference from
neural activity data derived from multi-electrode recordings or fluorescence imaging. We first …

[HTML][HTML] Estimating the directed information to infer causal relationships in ensemble neural spike train recordings

CJ Quinn, TP Coleman, N Kiyavash… - Journal of computational …, 2011 - Springer
Advances in recording technologies have given neuroscience researchers access to large
amounts of data, in particular, simultaneous, individual recordings of large groups of …

A Granger causality measure for point process models of ensemble neural spiking activity

S Kim, D Putrino, S Ghosh… - PLoS computational …, 2011 - journals.plos.org
The ability to identify directional interactions that occur among multiple neurons in the brain
is crucial to an understanding of how groups of neurons cooperate in order to generate …

Inferring functional connections between neurons

IH Stevenson, JM Rebesco, LE Miller… - Current opinion in …, 2008 - Elsevier
A central question in neuroscience is how interactions between neurons give rise to
behavior. In many electrophysiological experiments, the activity of a set of neurons is …

A model-based spike sorting algorithm for removing correlation artifacts in multi-neuron recordings

JW Pillow, J Shlens, EJ Chichilnisky, EP Simoncelli - PloS one, 2013 - journals.plos.org
We examine the problem of estimating the spike trains of multiple neurons from voltage
traces recorded on one or more extracellular electrodes. Traditional spike-sorting methods …

Extracting neuronal functional network dynamics via adaptive Granger causality analysis

A Sheikhattar, S Miran, J Liu, JB Fritz… - Proceedings of the …, 2018 - National Acad Sciences
Quantifying the functional relations between the nodes in a network based on local
observations is a key challenge in studying complex systems. Most existing time series …

State-space analysis of time-varying higher-order spike correlation for multiple neural spike train data

H Shimazaki, S Amari, EN Brown… - PLoS computational …, 2012 - journals.plos.org
Precise spike coordination between the spiking activities of multiple neurons is suggested
as an indication of coordinated network activity in active cell assemblies. Spike correlation …

Modeling statistical dependencies in multi-region spike train data

SL Keeley, DM Zoltowski, MC Aoi, JW Pillow - Current opinion in …, 2020 - Elsevier
Neural computations underlying cognition and behavior rely on the coordination of neural
activity across multiple brain areas. Understanding how brain areas interact to process …

Model-based decoding, information estimation, and change-point detection techniques for multineuron spike trains

JW Pillow, Y Ahmadian, L Paninski - Neural computation, 2011 - direct.mit.edu
One of the central problems in systems neuroscience is to understand how neural spike
trains convey sensory information. Decoding methods, which provide an explicit means for …