I. Bar-gad et al., Failure in identification of overlapping spikes from multiple neuron activity causes artificial correlations, J NEUROSC M, 107(1-2), 2001, pp. 1-13
Recording of multiple neurons from a single electrode is common practice du
ring extra-cellular recordings. Separation and sorting of spikes originatin
g from the different neurons can be performed either on-line or off-line us
ing multiple methods for pattern matching. However, all spike sorting techn
iques fail either fully or partially in identifying spikes from multiple ne
urons when they overlap due to occurrence within a short time interval. Thi
s failure, that we termed the 'shadowing effect', causes the well-known phe
nomenon of decreased cross-correlation at zero offset. However, the shadowi
ng effect also causes other artifacts in the auto and cross-correlation of
the recorded neurons. These artifacts are significant mainly in brain areas
with high firing rate or increased firing synchrony leading to a high prob
ability of spike overlap. Cross correlation of cells recorded from the same
electrodes tends to reflect the autocorrelation functions of the two cells
, even when there are no functional interactions between the cells. Therefo
re, the cross-correlation function tends to have a short-term (about the le
ngth of the refractory period) peak. A long-term (hundreds of milliseconds
to a few seconds) trough in the cross-correlation can be seen in cells with
bursting and pausing activities recorded from the same electrode. Even the
autocorrelation functions of the recorded neurons feature firing propertie
s of other neurons recorded from the same electrode. Examples of these effe
cts are given from our recordings in the globus pallidus of behaving primat
es and from the literature. Results of simulations of independent simple mo
del neurons exhibit the same properties as the recorded neurons. The effect
is analyzed and can be estimated to enable better evaluation of the underl
ying firing patterns and the actual synchronization of neighboring neurons
recorded by a single electrode. (C) 2001 Elsevier Science B.V. All rights r
eserved.