Long-Lasting Context Dependence Constrains Neural Encoding Models in Rodent Auditory Cortex
Open Access
- 1 November 2009
- journal article
- research article
- Published by American Physiological Society in Journal of Neurophysiology
- Vol. 102 (5), 2638-2656
- https://doi.org/10.1152/jn.00577.2009
Abstract
Acoustic processing requires integration over time. We have used in vivo intracellular recording to measure neuronal integration times in anesthetized rats. Using natural sounds and other stimuli, we found that synaptic inputs to auditory cortical neurons showed a rather long context dependence, up to ≥4 s (τ ∼ 1 s), even though sound-evoked excitatory and inhibitory conductances per se rarely lasted ≳100 ms. Thalamic neurons showed only a much faster form of adaptation with a decay constant τ <100 ms, indicating that the long-lasting form originated from presynaptic mechanisms in the cortex, such as synaptic depression. Restricting knowledge of the stimulus history to only a few hundred milliseconds reduced the predictable response component to about half that of the optimal infinite-history model. Our results demonstrate the importance of long-range temporal effects in auditory cortex and suggest a potential neural substrate for auditory processing that requires integration over timescales of seconds or longer, such as stream segregation.Keywords
This publication has 70 references indexed in Scilit:
- Rapid Synaptic Depression Explains Nonlinear Modulation of Spectro-Temporal Tuning in Primary Auditory Cortex by Natural StimuliJournal of Neuroscience, 2009
- Sparse Representation of Sounds in the Unanesthetized Auditory CortexPLoS Biology, 2008
- Neural population coding of sound level adapts to stimulus statisticsNature Neuroscience, 2005
- Spectrotemporal Structure of Receptive Fields in Areas AI and AAF of Mouse Auditory CortexJournal of Neurophysiology, 2003
- Short-Term Synaptic PlasticityAnnual Review of Physiology, 2002
- Rapid Adaptation in Visual Cortex to the Structure of ImagesScience, 1999
- Locally Weighted Regression: An Approach to Regression Analysis by Local FittingJournal of the American Statistical Association, 1988
- Robust Locally Weighted Regression and Smoothing ScatterplotsJournal of the American Statistical Association, 1979
- Pattern-selective adaptation in visual cortical neuronesNature, 1979
- Use of Ranks in One-Criterion Variance AnalysisJournal of the American Statistical Association, 1952