منابع مشابه
Characterizing Auditory Receptive Fields
In this issue of Neuron, two papers by Atencio et al. and Nagel and Doupe adapt new computational methods to map the spectrotemporal response fields of neurons in the auditory cortex. The papers take different but complementary approaches to apply theoretical techniques to classical methods of receptive field mapping and, in doing so, provide exciting new insights into the way in which sounds a...
متن کاملAuditory spatial receptive fields created by multiplication.
Examples of multiplication by neurons or neural circuits are scarce, although many computational models use this basic operation. The owl's auditory system computes interaural time (ITD) and level (ILD) differences to create a two-dimensional map of auditory space. Space-specific neurons are selective for combinations of ITD and ILD, which define, respectively, the horizontal and vertical dimen...
متن کاملDevelopment of auditory cortical synaptic receptive fields.
The central nervous system is plastic throughout life, but is most sensitive to the statistics of the sensory environment during critical periods of early postnatal development. In the auditory cortex, various forms of acoustic experience have been found to shape the formation of receptive fields and influence the overall rate of cortical organization. The synaptic mechanisms that control corti...
متن کاملIdealized Computational Models for Auditory Receptive Fields
We present a theory by which idealized models of auditory receptive fields can be derived in a principled axiomatic manner, from a set of structural properties to (i) enable invariance of receptive field responses under natural sound transformations and (ii) ensure internal consistency between spectro-temporal receptive fields at different temporal and spectral scales. For defining a time-frequ...
متن کاملLearning of sparse auditory receptive fields
It is largely unknown how the properties of the auditory system relate to the properties of natural sounds. Here, we analyze representations of simulated neurons that have optimally sparse activity in response to spectrotemporal speech data. These representations share important properties with auditory neurons as determined in electrophysiological experiments.
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ژورنال
عنوان ژورنال: Neuron
سال: 2008
ISSN: 0896-6273
DOI: 10.1016/j.neuron.2008.06.004