[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 …
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
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 …
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
Advances in recording technologies have given neuroscience researchers access to large
amounts of data, in particular, simultaneous, individual recordings of large groups of …
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
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 …
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 …
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
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 …
traces recorded on one or more extracellular electrodes. Traditional spike-sorting methods …
Extracting neuronal functional network dynamics via adaptive Granger causality analysis
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 …
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 …
as an indication of coordinated network activity in active cell assemblies. Spike correlation …
Modeling statistical dependencies in multi-region spike train data
Neural computations underlying cognition and behavior rely on the coordination of neural
activity across multiple brain areas. Understanding how brain areas interact to process …
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
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 …
trains convey sensory information. Decoding methods, which provide an explicit means for …