The time required to focus on a cued signal frequency

Contralateral proximal interference

A contralateral "cue" tone presented in continuous broadband noise both lowers the threshold of a signal tone by guiding attention to it and raises its threshold by interference. Here, signal tones were fixed in duration (40 ms, 52 ms with ramps), frequency (1500 Hz), timing, and level, so attention did not need guidance. Interference by contralateral cues was studied in relation to cue-signal proximity, cue-signal temporal overlap, and cue-signal order (cue after: backward interference, BI; or cue first: forward interference, FI). Cues, also ramped, were 12 dB above the signal level. Long cues (300 or 600 ms) raised thresholds by 5.3 dB when the signal and cue overlapped and by 5.1 dB in FI and 3.2 dB in BI when cues and signals were separated by 40 ms. Short cues (40 ms) raised thresholds by 4.5 dB in FI and 4.0 dB in BI for separations of 7 to 40 ms, but by ∼13 dB when simultaneous and in phase. FI and BI are comparable in magnitude and hardly increase when the signal is close in time to abrupt cue transients. These results do not support the notion that masking of the signal is due to the contralateral cue onset/offset transient response. Instead, sluggish attention or temporal integration may explain contralateral proximal interference.

Auditory attentional filter in the absence of masking noise

Signals containing attended frequencies are facilitated while those with unexpected frequencies are suppressed by an auditory filtering process. The neurocognitive mechanism underlying the auditory attentional filter is, however, poorly understood. The olivocochlear bundle (OCB), a brainstem neural circuit that is part of the efferent system, has been suggested to be partly responsible for the filtering via its noise-dependent antimasking effect. The current study examined the role of the OCB in attentional filtering, particularly the validity of the antimasking hypothesis, by comparing attentional filters measured in quiet and in the presence of background noise in a group of normal-hearing listeners. Filters obtained in both conditions were comparable, suggesting that the presence of background noise is not crucial for attentional filter generation. In addition, comparison of frequency-specific changes of the cue-evoked enhancement component of filters in quiet and noise also did not reveal any major contribution of background noise to the cue effect. These findings argue against the involvement of an antimasking effect in the attentional process. Instead of the antimasking effect mediated via medial olivocochlear fibers, results from current and earlier studies can be explained by frequency-specific modulation of afferent spontaneous activity by lateral olivocochlear fibers. It is proposed that the activity of these lateral fibers could be driven by top-down cortical control via a noise-independent mechanism. SIGNIFICANCE: The neural basis for auditory attentional filter remains a fundamental but poorly understood area in auditory neuroscience. The efferent olivocochlear pathway that projects from the brainstem back to the cochlea has been suggested to mediate the attentional effect via its noise-dependent antimasking effect. The current study demonstrates that the filter generation is mostly independent of the background noise, and therefore is unlikely to be mediated by the olivocochlear brainstem reflex. It is proposed that the entire cortico-olivocochlear system might instead be used to alter the hearing sensitivity during focus attention via frequency-specific modulation of afferent spontaneous activity.

Attention as a Unitary Concept

In this paper, I discuss attention in terms of selecting visual information and acting on it. Selection has been taken as a bedrock concept in attention research since James (1890). Selective attention guides action by privileging some things at the expense of others. I formalize this notion with models which capture the relationship between input and output under the control of spatial and temporal attention, by attenuating or discarding certain inputs and by weighing energetic costs, speed, and accuracy in meeting pre-chosen goals. Examples are given from everyday visually guided actions, and from modeling data obtained from visual searches through temporal and spatial arrays and related research. The relation between selection, as defined here, and other forms of attention is discussed at the end.

Dimension-selective attention as a possible driver of dynamic, context-dependent re-weighting in speech processing

The contribution of acoustic dimensions to an auditory percept is dynamically adjusted and reweighted based on prior experience about how informative these dimensions are across the long-term and short-term environment. This is especially evident in speech perception, where listeners differentially weight information across multiple acoustic dimensions, and use this information selectively to update expectations about future sounds. The dynamic and selective adjustment of how acoustic input dimensions contribute to perception has made it tempting to conceive of this as a form of non-spatial auditory selective attention. Here, we review several human speech perception phenomena that might be consistent with auditory selective attention although, as of yet, the literature does not definitively support a mechanistic tie. We relate these human perceptual phenomena to illustrative nonhuman animal neurobiological findings that offer informative guideposts in how to test mechanistic connections. We next present a novel empirical approach that can serve as a methodological bridge from human research to animal neurobiological studies. Finally, we describe four preliminary results that demonstrate its utility in advancing understanding of human non-spatial dimension-based auditory selective attention.

Altered attentional filters in subjects with graded levels of sensorineural hearing loss

Near-threshold tones (targets) in noise that are preceded by cues of the same frequency or occur with a high probability are detected better than tones of other frequencies that may occur with a lower probability (probes); the better detection of targets than probes defines the attentional filter. We measured attentional filters using a cued probe-signal procedure with a two-interval forced-choice (2IFC) method in normal-hearing subjects (N = 15) and subjects with sensorineural hearing loss (SNHL; N = 14) with a range of hearing levels. Attentional filters were altered in SNHL subjects, who detected low-frequency probes as well as targets at all hearing levels and who detected high-frequency probes increasingly well with increasing hearing level. These effects were present in both intervals of the 2IFC procedure. As auditory filters measured psychophysically are typically asymmetric in subjects with SNHL, these results suggest that the signal frequencies affected by the attentional filter are governed by the shapes of the auditory filters at and around the cue frequency. The normal-hearing subjects showed the expected attentional filters in the first interval and shallower filters in the second interval, suggesting that the cue-evoked attentional process is transient. In the first interval, both low- and high-frequency probes were detected better as hearing level increased over a narrow range (from -5 to 10 dB at the target frequency), with a resultant loss of attentional filtering. This finding adds to observations of variable auditory function in individuals with clinically normal hearing thresholds established by audiometry.

The effect of frequency cueing on the perceptual segregation of simultaneous tones: Bottom-up and top-down contributions

Listeners were presented with two simultaneous tones of different frequencies (more than one octave apart) and asked to identify the tone that was amplitude-modulated while a tonal precursor was presented to cue the frequency of the lower frequency tone. Performance thresholds were estimated based on the duration of the tone-pair. In Exp. I the duration of the precursor varied from 100 to 400 ms and the inter-stimulus interval (ISI) between the precursor and the tone-pair varied from 0 to 1 s. The presence of the precursor facilitated segregation. As the ISI increased, the facilitation effect of the precursor increased for the precursor durations of 100 and 200 ms, but not for the 400-ms precursor duration. When the precursor was presented to the contralateral ear relative to the tone-pair in Exp. II, no significant change to the precursor effect was observed. These observations contradict the predictions of the model based solely on bottom-up processing, suggesting the likely involvement of top-down processes.

Involuntary monitoring of sound signals in noise is reflected in the human auditory evoked N1m response

Constant sound sequencing as operationalized by repeated stimulation with tones of the same frequency has multiple effects. On the one hand, it activates mechanisms of habituation and refractoriness, which are reflected in the decrease of response amplitude of evoked responses. On the other hand, the constant sequencing acts as spectral cueing, resulting in tones being detected faster and more accurately. With the present study, by means of magnetoencephalography, we investigated the impact of repeated tone stimulation on the N1m auditory evoked fields, while listeners were distracted from the test sounds. We stimulated subjects with trains of either four tones of the same frequency, or with trains of randomly assigned frequencies. The trains were presented either in a silent or in a noisy background. In silence, the patterns of source strength decline originating from repeated stimulation suggested both, refractoriness as well as habituation as underlying mechanisms. In noise, in contrast, there was no indication of source strength decline. Furthermore, we found facilitating effects of constant sequencing regarding the detection of the single tones as indexed by a shortening of N1m latency. We interpret our findings as a correlate of a bottom-up mechanism that is constantly monitoring the incoming auditory information, even when voluntary attention is directed to a different modality.

Auditory frequency focusing is very rapid

The present experiments examine the effect of a weak 40-ms tone burst (cue) on the detection of a closely following 40-ms signal at the same frequency. Detection becomes more difficult as the temporal separation (onset to onset) between them shortens from around 300 ms to under 52 ms. The threshold increase or proximal interference is similar whether signal frequency is constant from trial to trial--frequency certainty--or changing--frequency uncertainty. The increase is also similar whether the cue goes to the same ear as the signal or to the opposite ear. This contralateral interference by such weak cues, only 4 dB SL against a continuous broadband noise, appears to exclude a role for forward masking by the cues. When the preceding tone burst differs in frequency from the signal, threshold increases little at any temporal separation. Combined with earlier results on frequency uncertainty (Scharf, B., et al., 2007, J. Acoust. Soc. Am. 121, 2149-2157), the present results show that a listener can shift focusing to an unexpected signal frequency in less than 52 ms. However, the rapidity of focusing is usually obscured by proximal interference, which possibly occurs whenever cue and signal share the same period (approximately 200 ms) of temporal integration.

On the number of auditory filter outputs needed to understand speech: further evidence for auditory channel independence

The number of auditory filter outputs required to identify phonemes was estimated in two experiments. Stimuli were divided into 30 contiguous equivalent rectangular bandwidths (ERB(N)) spanning 80-7563Hz. Normal-hearing listeners were presented with limited numbers of bands having frequency locations determined randomly from trial to trial to provide a general view, i.e., irrespective of specific band location, of the number of 1-ERB(N)-wide speech bands needed to identify phonemes. The first experiment demonstrated that 20 such bands are required to accurately identify vowels, and 16 are required to identify consonants. In the second experiment, speech-shaped noise or time-reversed speech was introduced to the non-speech bands at various signal-to-noise ratios. Considerably elevated noise levels were necessary to substantially affect phoneme recognition, confirming a high degree of channel independence in the auditory system. The independence observed between auditory filter outputs supports current views of speech recognition in noise in which listeners extract and combine pieces of information randomly distributed both in time and frequency. These findings also suggest that the ability to partition incoming sounds into a large number of narrow bands, an ability often lost in cases of hearing impairment or cochlear implantation, is critical for speech recognition in noise.

Effects of temporal uncertainty and temporal expectancy on infants' auditory sensitivity

Adults are more sensitive to a sound if they know when the sound will occur. In the present experiment, the effects of temporal uncertainty and temporal expectancy on infants' and adults' detection of a 1 kHz tone in a broadband noise were examined. In one experiment, masked sensitivity was measured with an acoustic cue and without an acoustic cue to possible tone presentation times. Adults' sensitivity was greater for the cue than for the no-cue condition, while infants' sensitivity did not differ significantly between the cue and no-cue conditions. In a second experiment, the effect of temporal expectancy was investigated. The detection advantage for sounds occurring at an expected (most frequent) time, over sounds occurring at unexpected (less frequent) times, was examined. Both infants and adults detected a tone better when it occurred before or at an expected time following a cue than when it occurred at a later time. Thus, despite the fact that the auditory cue did not improve infants' sensitivity, it nonetheless provided the basis for temporal expectancies. Infants, like adults, are more sensitive to sounds that are consistent with temporal expectancy.

Separate contributions of enhanced and suppressed sensitivity to the auditory attentional filter

Three experiments used a probe-signal method to determine the extent to which exposure-related changes in sensitivity result from an immediate effect of stimulation and from a cumulative effect of repeated stimulation. In the first experiment, a fixed-frequency cue was followed by a same-frequency target (on 75% of trials) or a different-frequency probe (on 25% of trials). In the second experiment, a cue frequency selected randomly from a set of five was followed by a same-frequency target, or one of four different-frequency probes. Targets and probes were randomly selected independently of the cue frequency and all were equiprobable (20%). Target detection showed an average 3.4 dB advantage over probe detection. In the third experiment, tones with a randomly selected frequency were detected better when cued by a tone of the same-frequency than when presented without a prior cue. The cued tones showed an average 2.6 dB advantage over the uncued tones. Together, these results suggest that two mechanisms contribute to changes in sensitivity following auditory stimulation: first, an immediate enhancement of target detection produced by an auditory cue and second, a suppression of non-target frequencies caused by the expectation of a target.

Role of attention in overshoot: frequency certainty versus uncertainty

Overshoot, the elevation in the threshold for a brief signal that comes on close to masker onset, was measured with signal frequency certain (same frequency on every trial) or uncertain (randomized over trials). In broadband noise, thresholds were higher 2 ms after masker onset than 200 ms later, by 9 dB with frequency certainty, by 6-7 dB with uncertainty. In narrowband noise centered on the signal frequency, thresholds at 2 ms were not elevated with certainty, but were elevated 4-5 dB with uncertainty. Thus, frequency uncertainty leads to less overshoot in broadband noise, to more overshoot in narrowband noise. Reduced overshoot in broadband noise may come about because the masker, given its many frequencies, disrupts focusing at onset as much under certainty as uncertainty. Once the initial disruption dissipates, threshold is lower with certainty so overshoot is greater. In contrast, a narrowband noise with frequencies only near the signal does not disrupt focusing when the signal frequency is known beforehand, so overshoot is absent. When frequency is uncertain, the narrowband noise serves to focus attention on the signal frequency; as this requires time, detection near noise onset is poorer than later on, so overshoot is present.