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auditory plasticity

April 11, 2008

The paper I’m currently trying to read is depressingly incomprehensible to me, so I’m gonna cheat and backtrack a few weeks to something with fewer undefined mathematical terms. This [pdf] is a review paper about learning-induced plasticity in the auditory cortex.

Ok, so! The auditory cortex is organized into tonotopic maps. This means that each neuron will fire most rapidly in response to a particular acoustic frequency, and that neurons are arrayed in a spectrum that corresponds to the spectrum of audible frequencies (and to the corresponding regions of the cochlea), so neurons that respond most strongly to similar frequencies are located adjacently. This is similar to the visual and somatosensory cortices, where neural maps reflect the spatial layout of the structures that provide sensory input to them (eyes, body). You can observe this directly in animals by inserting electrodes into neurons (when the animal is anesthetized), playing tones, and seeing how rapidly they fire.

Normally the tuning of these maps is very stable over time — you can test the same organism over and over again and the neurons’ optimal frequencies won’t change. However, when particular tones are made behaviorally relevant through conditioning (i.e. when they signal an impending tail shock, or sweet, sweet electrical stimulation of the dopaminergic reward circuits in the ventral tegmental area) the tonotopic maps reorganize themselves and more neurons become optimally responsive to the tone. The effect can be induced with a small number of trials and remains stable over time periods as long as two weeks; in fact, it becomes stronger after a couple nights’ sleep (which makes sense since there’s a lot of other evidence that processing that takes place during sleep aids in the consolidation of memories).

My take is that this probably points towards a developmental account of why people are really good at making fine auditory distinctions at the frequencies used in human speech, or why bats are really good at hearing their own sonar tones etc. These sound sensitivities are basically ubiquitous and consistent among the species that display them, but they are probably not “hard-wired” – the only thing that’s innate is having neural networks that are sensitive to operant conditioning, and environment does the rest. Pretty slick.

(The paper discusses possible mechanisms for this conditioning, but sadly my knowledge of the 15ish candidate brain regions and their connectivity is too half-assed to say anything substantive about them. They have a nice flowchart in Figure 5, though!)

3 comments

  1. along similar lines, while the vast majority of humans can typically only distinguish changes in loudness at a resolution of >3dB SPL, it’s common for sound engineers to be capable of distinguishing changes of 1 or (rarely) even .5 dB SPL.

    presumably, things like our high- and low-end sensitivity ranges will at times have more to do with the mechanical realities of auditory transduction than with conditioning (e.g. the range of possible frequencies at which the basilar membrane can resonate, the gradual destruction of high-frequency hair cells with age and sonic bludgeoning), but i wonder whether, for instance, we could be trained to hear below 20Hz (the traditionally acknowledged lower limit to our frequency sensitivity).

    good metareview!

    [meandering enquiry about the "hard-wiring" question deleted for the sake of our mutual sanity]


  2. word. my guess would be that the limits of the audible spectrum are relatively fixed but sensitivity within the spectrum is mutable.

    yeah, the hard-wired comment is sketchy, as glib one-line generalizations about innate traits tend to be. :) i don’t really know what, if anything, is truly “hard wired” but an absolute set of sound sensitivities definitely isn’t.


  3. well the whole sensitivity range thing is kind of vague and the established cannon is not a point of total consensus these days. of course there must be mechanical limits to what can be transduced at the high and low ends of the spectrum, but since frequency sensitivity actually tapers off as an exponential curve at the high and low ends rather than simply getting cleanly cut off, it’s difficult to tell where the absolute limit actually lies (especially since once you start cranking up the volume, your tissues are thrown into forced resonance and you start ‘feeling’ it, which throws off the reliability of reports about what we hear).

    also, i just noticed the tags. so yeah.



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