Should spikes be treated with equal weightings in the generation of spectro-temporal receptive fields?
Knowledge on the trigger features of central auditory neurons is important in the understanding of speech processing. Spectro-temporal receptive fields (STRFs) obtained using random stimuli and spike-triggered averaging allow visualization of trigger features which often appear blurry in the time-ve...
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| Veröffentlicht in: | Journal of physiology, Paris Paris, 2010-05, Vol.104 (3), p.215-222 |
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| creator | Chang, T.R. Chiu, T.W. Chung, P.C. Poon, Paul W.F. |
| description | Knowledge on the trigger features of central auditory neurons is important in the understanding of speech processing. Spectro-temporal receptive fields (STRFs) obtained using random stimuli and spike-triggered averaging allow visualization of trigger features which often appear blurry in the time-versus-frequency plot. For a clearer visualization we have previously developed a dejittering algorithm to sharpen trigger features in the STRF of FM-sensitive cells. Here we extended this algorithm to segregate spikes, based on their dejitter values, into two groups: normal and outlying, and to construct their STRF separately. We found that while the STRF of the normal jitter group resembled full trigger feature in the original STRF, those of the outlying jitter group resembled a different or partial trigger feature. This algorithm allowed the extraction of other weaker trigger features. Due to the presence of different trigger features in a given cell, we proposed that in the generation of STRF, the evoked spikes should not be treated indiscriminately with equal weightings. |
| doi_str_mv | 10.1016/j.jphysparis.2009.11.026 |
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Spectro-temporal receptive fields (STRFs) obtained using random stimuli and spike-triggered averaging allow visualization of trigger features which often appear blurry in the time-versus-frequency plot. For a clearer visualization we have previously developed a dejittering algorithm to sharpen trigger features in the STRF of FM-sensitive cells. Here we extended this algorithm to segregate spikes, based on their dejitter values, into two groups: normal and outlying, and to construct their STRF separately. We found that while the STRF of the normal jitter group resembled full trigger feature in the original STRF, those of the outlying jitter group resembled a different or partial trigger feature. This algorithm allowed the extraction of other weaker trigger features. 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| subjects | Acoustic Stimulation - methods Action Potentials - physiology Algorithms Animals Auditory midbrain Dose-Response Relationship, Radiation Evoked Potentials, Auditory - physiology FM-sensitive cells Male Models, Neurological Neurons - physiology Nonlinear Dynamics Occipital Lobe - cytology Psychophysics Random Allocation Rats Rats, Sprague-Dawley Reaction Time Response jitter Signal Processing, Computer-Assisted Sound Spectrography Spectrum Analysis STRF Time Factors Time Perception - physiology Trigger feature |
| title | Should spikes be treated with equal weightings in the generation of spectro-temporal receptive fields? |
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