[Fwd: perceptual learning] (Srikantan Nagarajan )

Subject: [Fwd: perceptual learning]
From:    Srikantan Nagarajan  <sri(at)DOUG.MED.UTAH.EDU>
Date:    Sat, 1 Apr 2000 11:02:24 -0800

This is a multi-part message in MIME format. --------------F1D26363EB3FEAB8F2BB392B Content-Type: text/plain; charset=us-ascii Content-Transfer-Encoding: 7bit --------------F1D26363EB3FEAB8F2BB392B Content-Type: message/rfc822 Content-Transfer-Encoding: 7bit Content-Disposition: inline Return-Path: <sri(at)doug.med.utah.edu> Delivered-To: sri(at)doug.med.utah.edu Received: from phy.ucsf.EDU (phy.ucsf.edu []) by doug.med.utah.edu (Mailer) with ESMTP id 0EB1733405 for <sri(at)doug.med.utah.edu>; Sat, 1 Apr 2000 09:02:07 -0700 (MST) Received: from doug.med.utah.edu (c97626-a.saltlk1.ut.home.com []) by phy.ucsf.EDU (8.8.6/GSC4.27) with ESMTP id HAA02835; Sat, 1 Apr 2000 07:57:21 -0800 (PST) Message-ID: <38E62AA4.3249356F(at)doug.med.utah.edu> Date: Sat, 01 Apr 2000 08:58:12 -0800 From: Srikantan Nagarajan <sri(at)doug.med.utah.edu> Organization: University of Utah, Department of Bioengineering X-Mailer: Mozilla 4.72 [en]C-AtHome0407 (WinNT; I) X-Accept-Language: en MIME-Version: 1.0 To: AUDITORY(at)LISTS.MCGILL.CA Cc: Marina Rose <marina.rose(at)PHYSIOL.OX.AC.UK> Subject: Re: perceptual learning References: <38E5D093.FFC8559C(at)physiol.ox.ac.uk> Content-Type: text/plain; charset=us-ascii Content-Transfer-Encoding: 7bit X-Mozilla-Status2: 00000000 Dear list, An excellent question which summarizes some of my research goals and interests. There certainly seems to be a lack of studies in auditory perceptual learning. Some of the earliest studies that I can think of are Massaro et al. on learning in backward masking (Perception and Psychophysics circa 1979?). More recently, Beverly Wright and colleagues (J. Neuroscience, 1999) published results on auditory temporal interval discrimination learning. She has also presented posters at ARO on learning of frequency discrimination, backward masking, and interaural-interval discrimination. It seems that most of these tasks are subject to some sort of learning effects. The characteristics of that learning are probably task specific. It appears that the learning is dependent on a heavy schedule of at least 900 trials a day and has both a fast and slow time course. The fast time course seems to take 1-2 sessions and the slower time course about 5-8 sessions. This is consistent with time courses of learning in both visual and somatosensory systems as well. To my knowledge, no one has done anything like the Karni or Strickgold et al. manipulations of REM sleep etc. with auditory perceptual learning. I think that one reason learning has been ignored is that it just seems to make everyone asymptote to a similar threshold. i.e. high-threshold beginners learn a lot more than low-threshold performers. So, the process might look something like a regression to the mean. While that may indeed be the case, I believe that the characteristics of generalization to untrained stimulus conditions following learning are quite revealing about the mechanisms of processing and learning. Typically learning studies are done with naive subjects. I would be delighted to hear other comments on this topic from the more experienced folks in the list. Srikantan Nagarajan Assistant Professor Department of Bioengineering University of Utah, Salt Lake City --------------F1D26363EB3FEAB8F2BB392B--

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