Sensory context for coding of natural sounds in auditory cortex
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[1] H. Adesnik,et al. The logic of recurrent circuits in the primary visual cortex , 2022, bioRxiv.
[2] Jonathan I. Benichov,et al. High-density electrode recordings reveal strong and specific connections between retinal ganglion cells and midbrain neurons , 2022, Nature Communications.
[3] Stephen V. David,et al. Can deep learning provide a generalizable model for dynamic sound encoding in auditory cortex? , 2022, bioRxiv.
[4] Tohar S. Yarden,et al. Context-Dependent Inhibitory Control of Stimulus-Specific Adaptation , 2022, The Journal of Neuroscience.
[5] T. R. Barkat,et al. Inhibition in the auditory cortex , 2021, Neuroscience & Biobehavioral Reviews.
[6] Daniel P. Mossing,et al. Synthesis of a comprehensive population code for contextual features in the awake sensory cortex , 2021, eLife.
[7] R. S. Williamson,et al. Inverted central auditory hierarchies for encoding local intervals and global temporal patterns , 2021, Current Biology.
[8] Kenneth D. Harris,et al. Neuropixels 2.0: A miniaturized high-density probe for stable, long-term brain recordings , 2020, Science.
[9] Robert J. Zatorre,et al. Distinct sensitivity to spectrotemporal modulation supports brain asymmetry for speech and melody , 2020, Science.
[10] Nicholas A. Steinmetz,et al. High-dimensional geometry of population responses in visual cortex , 2018, Nature.
[11] Nikil Dutt,et al. Neural correlates of sparse coding and dimensionality reduction , 2019, PLoS Comput. Biol..
[12] Zachary P. Schwartz,et al. Pupil-associated states modulate excitability but not stimulus selectivity in primary auditory cortex , 2019, bioRxiv.
[13] Xiaolin Hu,et al. A hierarchical sparse coding model predicts acoustic feature encoding in both auditory midbrain and cortex , 2019, PLoS Comput. Biol..
[14] Stephen V. David,et al. Spectral tuning of adaptation supports coding of sensory context in auditory cortex , 2019, bioRxiv.
[15] Guillermo V Carbajal,et al. The Neuronal Basis of Predictive Coding Along the Auditory Pathway: From the Subcortical Roots to Cortical Deviance Detection , 2018, Trends in hearing.
[16] Stephen V. David,et al. Incorporating behavioral and sensory context into spectro-temporal models of auditory encoding , 2017, Hearing Research.
[17] Stefano Panzeri,et al. Distinct timescales of population coding across cortex , 2017, Nature.
[18] Shay Ohayon,et al. Open Ephys: an open-source, plugin-based platform for multichannel electrophysiology , 2017, Journal of neural engineering.
[19] C. Li,et al. Engaging and disengaging recurrent inhibition coincides with sensing and unsensing of a sensory stimulus , 2017, Nature Communications.
[20] D. Fitzpatrick,et al. Opportunities and challenges in modeling human brain disorders in transgenic primates , 2016, Nature Neuroscience.
[21] Stephen V. David,et al. The Essential Complexity of Auditory Receptive Fields , 2015, PLoS Comput. Biol..
[22] Ethan M. Goldberg,et al. Complementary control of sensory adaptation by two types of cortical interneurons , 2015, eLife.
[23] A. J. King,et al. Cortico‐cortical connectivity within ferret auditory cortex , 2015, The Journal of comparative neurology.
[24] J. Barry. Axonal activity in vivo: technical considerations and implications for the exploration of neural circuits in freely moving animals , 2015, Front. Neurosci..
[25] M. Malmierca,et al. The cortical modulation of stimulus-specific adaptation in the auditory midbrain and thalamus: a potential neuronal correlate for predictive coding , 2015, Front. Syst. Neurosci..
[26] Kenneth D Harris,et al. Spike sorting for large, dense electrode arrays , 2015, Nature Neuroscience.
[27] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[28] S. David,et al. Emergent Selectivity for Task-Relevant Stimuli in Higher-Order Auditory Cortex , 2014, Neuron.
[29] S. David,et al. Integration over Multiple Timescales in Primary Auditory Cortex , 2013, The Journal of Neuroscience.
[30] Neil C. Rabinowitz,et al. Constructing Noise-Invariant Representations of Sound in the Auditory Pathway , 2013, PLoS biology.
[31] Michael Wehr,et al. Parvalbumin-Expressing Inhibitory Interneurons in Auditory Cortex Are Well-Tuned for Frequency , 2013, The Journal of Neuroscience.
[32] S. A. Shamma,et al. MANTA—an open-source, high density electrophysiology recording suite for MATLAB , 2013, Front. Neural Circuits.
[33] Xiao-Jing Wang,et al. The importance of mixed selectivity in complex cognitive tasks , 2013, Nature.
[34] M. Carandini,et al. Normalization as a canonical neural computation , 2011, Nature Reviews Neuroscience.
[35] Jiangang Du,et al. Multiplexed, High Density Electrophysiology with Nanofabricated Neural Probes , 2011, PloS one.
[36] C. Atencio,et al. Hierarchical representations in the auditory cortex , 2011, Current Opinion in Neurobiology.
[37] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[38] A. Zador,et al. Long-lasting context dependence constrains neural encoding models in rodent auditory cortex. , 2008, Journal of neurophysiology.
[39] W. Maass,et al. State-dependent computations: spatiotemporal processing in cortical networks , 2009, Nature Reviews Neuroscience.
[40] R. Oostenveld,et al. Nonparametric statistical testing of EEG- and MEG-data , 2007, Journal of Neuroscience Methods.
[41] I. Nelken,et al. Functional organization of ferret auditory cortex. , 2005, Cerebral cortex.
[42] Bruno A Olshausen,et al. Sparse coding of sensory inputs , 2004, Current Opinion in Neurobiology.
[43] C E Schreiner,et al. Neural processing of amplitude-modulated sounds. , 2004, Physiological reviews.
[44] A. Zador,et al. Balanced inhibition underlies tuning and sharpens spike timing in auditory cortex , 2003, Nature.
[45] Monty A. Escabí,et al. Representation of spectrotemporal sound information in the ascending auditory pathway , 2003, Biological Cybernetics.
[46] I. Nelken,et al. Processing of low-probability sounds by cortical neurons , 2003, Nature Neuroscience.
[47] Xiaoqin Wang,et al. Temporal and rate representations of time-varying signals in the auditory cortex of awake primates , 2001, Nature Neuroscience.
[48] M. Merzenich,et al. Optimizing sound features for cortical neurons. , 1998, Science.
[49] S. Shamma,et al. Analysis of dynamic spectra in ferret primary auditory cortex. II. Prediction of unit responses to arbitrary dynamic spectra. , 1996, Journal of neurophysiology.
[50] David J. Field,et al. Emergence of simple-cell receptive field properties by learning a sparse code for natural images , 1996, Nature.
[51] Skipper Seabold,et al. Statsmodels: Econometric and Statistical Modeling with Python , 2010, SciPy.
[52] R. Silver. Neuronal arithmetic , 2010, Nature Reviews Neuroscience.
[53] Noam Chomsky,et al. The Sound Pattern of English , 1968 .
[54] J. R.,et al. Quantitative analysis , 1892, Nature.