Multiple neural spike train data analysis: state-of-the-art and future challenges. Export

@article{Brown2004, abstract = {Multiple electrodes are now a standard tool in neuroscience research that make it possible to study the simultaneous activity of several neurons in a given brain region or across different regions. The data from multi-electrode studies present important analysis challenges that must be resolved for optimal use of these neurophysiological measurements to answer questions about how the brain works. Here we review statistical methods for the analysis of multiple neural spike-train data and discuss future challenges for methodology research.}, author = {Brown, Emery N. and Kass, Robert E. and Mitra, Partha P.}, citeulike-article-id = {1851033}, citeulike-linkout-0 = {http://dx.doi.org/10.1038/nn1228}, doi = {10.1038/nn1228}, journal = {Nat Neurosci}, keywords = {15114358, action, algorithms, animals, art, bibtex-import, biological, brain, cerebral, cognition, computer, conduction, cortex, cortical, deep, dendrites, design, disorders, dynamics, electric, electrophysiology, factors, gravitation, hippocampus, humans, mapping, models, nerve, net, networks, neural, neurological, neurons, nonlinear, of, pathways, potentials, prosthesis, reproducibility, results, simulation, statistics, stimulation, synaptic, synchronization, time, transmission}, month = {May}, number = {5}, pages = {456--461}, posted-at = {2007-11-01 13:26:13}, priority = {2}, title = {{M}ultiple neural spike train data analysis: state-of-the-art and future challenges.}, url = {10.1038/nn1228}, volume = {7}, year = {2004} }

TY - JOUR ID - Brown2004 L3 - citeulike-article-id:1851033 N2 - Multiple electrodes are now a standard tool in neuroscience research that make it possible to study the simultaneous activity of several neurons in a given brain region or across different regions. The data from multi-electrode studies present important analysis challenges that must be resolved for optimal use of these neurophysiological measurements to answer questions about how the brain works. Here we review statistical methods for the analysis of multiple neural spike-train data and discuss future challenges for methodology research. IS - 5 JF - Nat Neurosci EP - 461 TI - {M}ultiple neural spike train data analysis: state-of-the-art and future challenges. VL - 7 SP - 456 KW - 15114358 KW - action KW - algorithms KW - animals KW - art KW - bibtex-import KW - biological KW - brain KW - cerebral KW - cognition KW - computer KW - conduction KW - cortex KW - cortical KW - deep KW - dendrites KW - design KW - disorders KW - dynamics KW - electric KW - electrophysiology KW - factors KW - gravitation KW - hippocampus KW - humans KW - mapping KW - models KW - nerve KW - net KW - networks KW - neural KW - neurological KW - neurons KW - nonlinear KW - of KW - pathways KW - potentials KW - prosthesis KW - reproducibility KW - results KW - simulation KW - statistics KW - stimulation KW - synaptic KW - synchronization KW - time KW - transmission AU - Brown, Emery AU - Kass, Robert AU - Mitra, Partha PY - 2004/May// UR - http://dx.doi.org/10.1038/nn1228 ER -