TY - JOUR
T1 - Measuring spike pattern reliability with the Lempel-Ziv-distance
AU - Christen, Markus
AU - Kohn, Adam
AU - Ott, Thomas
AU - Stoop, Ruedi
N1 - Funding Information:
We thank J. Anthony Movshon for sharing data from his laboratory. The work was supported by the Swiss National Science Foundation grant 247076 to R. Stoop.
PY - 2006/9/30
Y1 - 2006/9/30
N2 - Spike train distance measures serve two purposes: to measure neuronal firing reliability, and to provide a metric with which spike trains can be classified. We introduce a novel spike train distance based on the Lempel-Ziv complexity that does not require the choice of arbitrary analysis parameters, is easy to implement, and computationally cheap. We determine firing reliability in vivo by calculating the deviation of the mean distance of spike trains obtained from multiple presentations of an identical stimulus from a Poisson reference. Using both the Lempel-Ziv-distance (LZ-distance) and a distance focussing on coincident firing, the pattern and timing reliability of neuronal firing is determined for spike data obtained along the visual information processing pathway of macaque monkey (LGN, simple and complex cells of V1, and area MT). In combination with the sequential superparamagnetic clustering algorithm, we show that the LZ-distance groups together spike trains with similar but not necessarily synchronized firing patterns. For both applications, we show how the LZ-distance gives additional insights, as it adds a new perspective on the problem of firing reliability determination and allows neuron classifications in cases, where other distance measures fail.
AB - Spike train distance measures serve two purposes: to measure neuronal firing reliability, and to provide a metric with which spike trains can be classified. We introduce a novel spike train distance based on the Lempel-Ziv complexity that does not require the choice of arbitrary analysis parameters, is easy to implement, and computationally cheap. We determine firing reliability in vivo by calculating the deviation of the mean distance of spike trains obtained from multiple presentations of an identical stimulus from a Poisson reference. Using both the Lempel-Ziv-distance (LZ-distance) and a distance focussing on coincident firing, the pattern and timing reliability of neuronal firing is determined for spike data obtained along the visual information processing pathway of macaque monkey (LGN, simple and complex cells of V1, and area MT). In combination with the sequential superparamagnetic clustering algorithm, we show that the LZ-distance groups together spike trains with similar but not necessarily synchronized firing patterns. For both applications, we show how the LZ-distance gives additional insights, as it adds a new perspective on the problem of firing reliability determination and allows neuron classifications in cases, where other distance measures fail.
KW - Clustering
KW - Firing reliability
KW - Lempel-Ziv-complexity
KW - Macaque monkey
KW - Neuron classification
KW - Spike pattern
KW - Spike train distance measure
KW - Visual system
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U2 - 10.1016/j.jneumeth.2006.02.023
DO - 10.1016/j.jneumeth.2006.02.023
M3 - Article
C2 - 16584787
AN - SCOPUS:33747233208
SN - 0165-0270
VL - 156
SP - 342
EP - 350
JO - Journal of Neuroscience Methods
JF - Journal of Neuroscience Methods
IS - 1-2
ER -