Associative learning shapes the neural code for stimulus magnitude in primary auditory cortex. Polley, D. B, Heiser, M. A, Blake, D. T, Schreiner, C. E, & Merzenich, M. M Proc Natl Acad Sci U S A, 101(46):16351-6, 2004. doi abstract bibtex Since the dawn of experimental psychology, researchers have sought an understanding of the fundamental relationship between the amplitude of sensory stimuli and the magnitudes of their perceptual representations. Contemporary theories support the view that magnitude is encoded by a linear increase in firing rate established in the primary afferent pathways. In the present study, we have investigated sound intensity coding in the rat primary auditory cortex (AI) and describe its plasticity by following paired stimulus reinforcement and instrumental conditioning paradigms. In trained animals, population-response strengths in AI became more strongly nonlinear with increasing stimulus intensity. Individual AI responses became selective to more restricted ranges of sound intensities and, as a population, represented a broader range of preferred sound levels. These experiments demonstrate that the representation of stimulus magnitude can be powerfully reshaped by associative learning processes and suggest that the code for sound intensity within AI can be derived from intensity-tuned neurons that change, rather than simply increase, their firing rates in proportion to increases in sound intensity.
@Article{Polley2004,
author = {Daniel B Polley and Marc A Heiser and David T Blake and Christoph E Schreiner and Michael M Merzenich},
journal = {Proc Natl Acad Sci U S A},
title = {Associative learning shapes the neural code for stimulus magnitude in primary auditory cortex.},
year = {2004},
number = {46},
pages = {16351-6},
volume = {101},
abstract = {Since the dawn of experimental psychology, researchers have sought
an understanding of the fundamental relationship between the amplitude
of sensory stimuli and the magnitudes of their perceptual representations.
Contemporary theories support the view that magnitude is encoded
by a linear increase in firing rate established in the primary afferent
pathways. In the present study, we have investigated sound intensity
coding in the rat primary auditory cortex (AI) and describe its plasticity
by following paired stimulus reinforcement and instrumental conditioning
paradigms. In trained animals, population-response strengths in AI
became more strongly nonlinear with increasing stimulus intensity.
Individual AI responses became selective to more restricted ranges
of sound intensities and, as a population, represented a broader
range of preferred sound levels. These experiments demonstrate that
the representation of stimulus magnitude can be powerfully reshaped
by associative learning processes and suggest that the code for sound
intensity within AI can be derived from intensity-tuned neurons that
change, rather than simply increase, their firing rates in proportion
to increases in sound intensity.},
doi = {10.1073/pnas.0407586101},
keywords = {Acoustic Stimulation, Animals, Association Learning, Auditory Cortex, Auditory Threshold, Conditioning (Psychology), Electrophysiology, Loudness Perception, Neuronal Plasticity, Rats, Sprague-Dawley, Reinforcement (Psychology), Research Support, Non-U.S. Gov't, U.S. Gov't, P.H.S., Reward, 15534214},
}
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