TY - JOUR
T1 - Informative features of local field potential signals in primary visual cortex during natural image stimulation
AU - Seyedhosseini, Mojtaba
AU - Shushruth, S.
AU - Davis, Tyler
AU - Ichida, Jennifer M.
AU - House, Paul A.
AU - Greger, Bradley
AU - Angelucci, Alessandra
AU - Tasdizen, Tolga
N1 - Publisher Copyright:
© 2015 the American Physiological Society.
PY - 2015
Y1 - 2015
N2 - The local field potential (LFP) is of growing importance in neurophysiology as a metric of network activity and as a readout signal for use in brainmachine interfaces. However, there are uncertainties regarding the kind and visual field extent of information carried by LFP signals, as well as the specific features of the LFP signal conveying such information, especially under naturalistic conditions. To address these questions, we recorded LFP responses to natural images in V1 of awake and anesthetized macaques using Utah multielectrode arrays. First, we have shown that it is possible to identify presented natural images from the LFP responses they evoke using trained Gabor wavelet (GW) models. Because GW models were devised to explain the spiking responses of V1 cells, this finding suggests that local spiking activity and LFPs (thought to reflect primarily local synaptic activity) carry similar visual information. Second, models trained on scalar metrics, such as the evoked LFP response range, provide robust image identification, supporting the informative nature of even simple LFP features. Third, image identification is robust only for the first 300 ms following image presentation, and image information is not restricted to any of the spectral bands. This suggests that the shortlatency broadband LFP response carries most information during natural scene viewing. Finally, best image identification was achieved by GW models incorporating information at the scale of ~0.5° in size and trained using four different orientations. This suggests that during natural image viewing, LFPs carry stimulusspecific information at spatial scales corresponding to few orientation columns in macaque V1.
AB - The local field potential (LFP) is of growing importance in neurophysiology as a metric of network activity and as a readout signal for use in brainmachine interfaces. However, there are uncertainties regarding the kind and visual field extent of information carried by LFP signals, as well as the specific features of the LFP signal conveying such information, especially under naturalistic conditions. To address these questions, we recorded LFP responses to natural images in V1 of awake and anesthetized macaques using Utah multielectrode arrays. First, we have shown that it is possible to identify presented natural images from the LFP responses they evoke using trained Gabor wavelet (GW) models. Because GW models were devised to explain the spiking responses of V1 cells, this finding suggests that local spiking activity and LFPs (thought to reflect primarily local synaptic activity) carry similar visual information. Second, models trained on scalar metrics, such as the evoked LFP response range, provide robust image identification, supporting the informative nature of even simple LFP features. Third, image identification is robust only for the first 300 ms following image presentation, and image information is not restricted to any of the spectral bands. This suggests that the shortlatency broadband LFP response carries most information during natural scene viewing. Finally, best image identification was achieved by GW models incorporating information at the scale of ~0.5° in size and trained using four different orientations. This suggests that during natural image viewing, LFPs carry stimulusspecific information at spatial scales corresponding to few orientation columns in macaque V1.
KW - Gabor wavelet model
KW - LFP
KW - Macaque
KW - V1
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U2 - 10.1152/jn.00278.2014
DO - 10.1152/jn.00278.2014
M3 - Article
C2 - 25505104
AN - SCOPUS:84923902802
SN - 0022-3077
VL - 113
SP - 1520
EP - 1532
JO - Journal of neurophysiology
JF - Journal of neurophysiology
IS - 5
ER -