Spectro-temporal receptive fields of midbrain auditory neurons in the rat obtained with frequency modulated stimulation
Section snippets
Acknowledgements
This work was supported in part by National Science Council (NSC 2320 B006 042), and Ministry of Education (Academic Excellence 89-B-FA08-1-4), Taiwan, Republic of China. The technical help of T.W. Chiu is gratefully acknowledged.
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Cited by (23)
Multiscale mapping of frequency sweep rate in mouse auditory cortex
2017, Hearing ResearchCitation Excerpt :In addition, a prior microelectrode study observed a preference for frequency modulations in UF (Stiebler et al., 1997), which may at least partially overlap with CSR. It is tempting to speculate about the relation of CSR to FM areas found in other species, such as the FM-FM area of bats (Suga et al., 1983), but first a deeper understanding of the neuronal computations producing FM selectivity (Sadagopan and Wang, 2009) and connectivity patterns between CSR and subcortical regions (Clopton and Winfield, 1974; Poon and Yu, 2000) are needed. Selectivity for FM sweep rate and direction could be inherited primarily from subcortical inputs (Covey and Casseday, 1999) or computed through intracortical circuits (Zhang et al., 2003).
Modeling complex responses of FM-sensitive cells in the auditory midbrain using a committee machine
2013, Brain ResearchCitation Excerpt :In the STRFs of auditory neurons, a variety of trigger features have been reported (e.g., a flat orientation representing pure tone sensitivity; or a band displaying either a rising slope representing a modulation from low to high frequency, or a falling slope, a modulation from high to low frequency; Atencio et al., 2007; Chiu and Poon, 2007). The exact pattern of trigger features also depends on the kind of sound used for stimulation, with a choice ranging from random tones to naturally-occurring sounds (Escabi and Schreiner, 2002; Poon and Yu, 2000; Theunissen et al., 2000; Valentine and Eggermont, 2004). In a previous study (Chang et al., 2012) we have modeled the FM responses of auditory midbrain neurons based on trigger features derived from their STRFs.
Modeling frequency modulated responses of midbrain auditory neurons based on trigger features and artificial neural networks
2012, Brain ResearchCitation Excerpt :STRF is used to represent the input–output relationship of central neurons to sounds on the time-frequency plane. Typically, a probe tone of randomly varied frequency is used to evoke spike responses from an FM-sensitive cell (deCharms et al., 1998; Escabı́ and Schreiner, 2002; Poon and Yu, 2000; Theunissen et al., 2000). To construct the STRF, the analysis involves averaging the random sound energy preceding each spike.
Should spikes be treated with equal weightings in the generation of spectro-temporal receptive fields?
2010, Journal of Physiology Paris