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Understanding Auditory Spectro-Temporal Receptive Fields and Their Changes with Input Statistics by Efficient Coding Principles

Lingyun Zhao, Li Zhaoping, Lyle J. Graham
2011 PLoS Computational Biology  
Here, we apply an efficient coding principle which has been successfully used to understand receptive fields in early stages of visual processing, in order to provide a computational understanding of the  ...  Spectro-temporal receptive fields (STRFs) have been widely used as linear approximations to the signal transform from sound spectrograms to neural responses along the auditory pathway.  ...  Bo Hong and three anonymous reviewers for their very helpful comments, and to thank very much Peter Dayan for editing the English of the manuscript. Author Contributions  ... 
doi:10.1371/journal.pcbi.1002123 pmid:21887121 pmcid:PMC3158037 fatcat:7wlpw6hbj5hinaea2ykluxguou

Exploiting temporal coherence in speech for data-driven feature extraction

Michael A. Carlin, Mounya Elhilali
2011 2011 45th Annual Conference on Information Sciences and Systems  
Importantly, learning is accomplished using unlabeled speech data, and the emergent neural properties well-characterize the spectro-temporal statistics of the input.  ...  , and reflective of the rich spectro-temporal structure present in speech.  ...  ACKNOWLEDGMENTS This research was supported by a graduate fellowship from the Human Language Technology Center of Excellence, NSF CAREER grant IIS-0846112, AFOSR grant FA9 550-09-1-0234 and NIH grant 5RO  ... 
doi:10.1109/ciss.2011.5766159 dblp:conf/ciss/CarlinE11 fatcat:n2fdyx6x7bdh3kh2ir6gynzjka

Efficient Neural Coding in Auditory and Speech Perception

Judit Gervain, Maria N. Geffen
2019 Trends in Neurosciences  
Experimental evidence suggests that the auditory code is optimal in this mathematical sense: statistical properties of speech closely match response properties of the cochlea, the auditory nerve, and the  ...  Mathematically, this can be achieved if the optimally efficient codes match the statistics of the signals they represent.  ...  Acknowledgements This work was supported by Human Frontier in Science Foundation Young Investigator Award to MNG and JG; National Institutes of Health (Grant numbers NIH R01DC014700, NIH R01DC015527),  ... 
doi:10.1016/j.tins.2018.09.004 pmid:30297085 pmcid:PMC6542557 fatcat:sxydwc6blbanbnhxrz32hvvtza

Sustained Firing of Model Central Auditory Neurons Yields a Discriminative Spectro-temporal Representation for Natural Sounds

Michael A. Carlin, Mounya Elhilali, Olaf Sporns
2013 PLoS Computational Biology  
The processing characteristics of neurons in the central auditory system are directly shaped by and reflect the statistics of natural acoustic environments, but the principles that govern the relationship  ...  In this paper, we describe a computational framework for exploring the influence of a code based on sustained firing rates on the shape of the spectro-temporal receptive field (STRF), a linear kernel that  ...  Acknowledgments We gratefully acknowledge Shihab Shamma (UMD) and Stephen David (OHSU) for providing the neural STRFs to facilitate the comparison of our modeling results with the physiology.  ... 
doi:10.1371/journal.pcbi.1002982 pmid:23555217 pmcid:PMC3610626 fatcat:zkh4gkst4nedphmgabrph3luny

Sparse Codes for Speech Predict Spectrotemporal Receptive Fields in the Inferior Colliculus

Nicole L. Carlson, Vivienne L. Ming, Michael Robert DeWeese, Tim Behrens
2012 PLoS Computational Biology  
To our knowledge, this is the first demonstration that receptive fields of neurons in the ascending mammalian auditory pathway beyond the auditory nerve can be predicted based on coding principles and  ...  Moreover, several of these novel features resemble neuronal receptive fields reported in the Inferior Colliculus (IC), as well as auditory thalamus and cortex, and our model neurons exhibit the same tradeoff  ...  Wang and E. Bumbacher for providing computer code and for helpful discussions. We are grateful to the following authors for sharing their neural data: F.A. Rodríguez  ... 
doi:10.1371/journal.pcbi.1002594 pmid:22807665 pmcid:PMC3395612 fatcat:t7qk2mxbqfatdbjmq6uvd3lfki

Tuning for spectro-temporal modulations as a mechanism for auditory discrimination of natural sounds

Sarah M N Woolley, Thane E Fremouw, Anne Hsu, Frédéric E Theunissen
2005 Nature Neuroscience  
RESULTS Modulation power spectra and spectro-temporal receptive fields The spectro-temporal modulations contained in zebra finch song were analyzed by decomposing the songs of 20 birds into their Fourier  ...  First, we calculated the linear spectro-temporal receptive fields (STRFs) of single neurons and evaluated the relationship between the ensemble tuning derived from these receptive fields and the spectrotemporal  ...  This work was supported by US National Institute of Deafness and Communication Disorders grants to S.M.N.W. and F.E.T. and US National Institute of Mental Health grants to F.E.T. and T.E.F.  ... 
doi:10.1038/nn1536 pmid:16136039 fatcat:rl5pqs3npbeudbpjgtll2hjg34

Adaptive auditory computations

Shihab Shamma, Jonathan Fritz
2014 Current Opinion in Neurobiology  
The auditory system analyses acoustic signals, extracting their perceptual attributes, and exploiting them to navigate complex auditory environments.  ...  This review hints at the profound adaptive influences and contextual effects induced by cognitive functions during these behaviors, and the need for robust tractable mathematical models to understand them  ...  Acknowledgment This work has been primarily funded by an NIH grant R01 DC007657 and an Advanced ERC 295603 (to SS)  ... 
doi:10.1016/j.conb.2014.01.011 pmid:24525107 pmcid:PMC3981867 fatcat:gelfcdikhnfdtpuzi554nglqpq

Central auditory neurons have composite receptive fields

Andrei S. Kozlov, Timothy Q. Gentner
2016 Proceedings of the National Academy of Sciences of the United States of America  
Characterizing the receptive fields of such neurons is difficult with standard statistical tools, however, and the principles governing their organization remain poorly understood.  ...  and animal classes. auditory system | neural networks | receptive fields | sparseness | unsupervised learning  ...  Sharpee for sharing the MNE code. The research was funded by grant R01DC008358 from the National Institutes of Health..  ... 
doi:10.1073/pnas.1506903113 pmid:26787894 pmcid:PMC4747712 fatcat:jmbvs44htjafnbsjxnphxtm27i

An Efficient Coding Hypothesis Links Sparsity and Selectivity of Neural Responses

Florian Blättler, Richard H. R. Hahnloser, Stefan J. Kiebel
2011 PLoS ONE  
To what extent are sensory responses in the brain compatible with first-order principles?  ...  and inhibitory inputs.  ...  Author Contributions Conceived and designed the experiments: RH FB. Analyzed the data: RH FB. Wrote the paper: RH FB.  ... 
doi:10.1371/journal.pone.0025506 pmid:22022405 pmcid:PMC3192758 fatcat:ybhemsx2jnhp7osenjo73xiipu

STRFs in primary auditory cortex emerge from masking-based statistics of natural sounds

Abdul-Saboor Sheikh, Nicol S. Harper, Jakob Drefs, Yosef Singer, Zhenwen Dai, Richard E. Turner, Jörg Lücke, Frédéric E. Theunissen
2019 PLoS Computational Biology  
We characterize the generative fields (GFs) inferred by MCA with respect to in vivo neural responses in A1 by applying reverse correlation to estimate spectro-temporal receptive fields (STRFs) implied  ...  We investigate how the neural processing in auditory cortex is shaped by the statistics of natural sounds.  ...  Comparison to other normative models A number of normative approaches have been taken to understand auditory spectro-temporal receptive fields as a consequence of stimulus statistics (e.g.  ... 
doi:10.1371/journal.pcbi.1006595 pmid:30653497 pmcid:PMC6382252 fatcat:zy6szk5w4fcatlwe6icetutdcq

Auditory Perception of Self-Similarity in Water Sounds

Maria N. Geffen, Judit Gervain, Janet F. Werker, Marcelo O. Magnasco
2011 Frontiers in Integrative Neuroscience  
IntroductIon The efficient coding hypothesis postulates that the brain evolved to efficiently process natural inputs by adapting to the statistics of natural scenes (Attneave, 1954; Barlow, 1961) , and  ...  The spectro-temporal receptive field (STRFs) of a neuron in the ascending auditory system may be characterized by the preferred spectral and temporal modulation frequency, as well as the bandwidth of the  ... 
doi:10.3389/fnint.2011.00015 pmid:21617734 pmcid:PMC3095814 fatcat:pnfmtk6rmzahdfztoapx6bwaia

Generalizable dimensions of human cortical auditory processing of speech in natural soundscapes: A data-driven ultra high field fMRI approach

Moritz Boos, Jörg Lücke, Jochem W. Rieger
2021 NeuroImage  
One is most sensitive to complex auditory features present in speech, another to complex auditory features and fast temporal modulations, that are not specific to speech, and one codes mainly sound level  ...  These results were derived with few a-priori assumptions and provide a detailed and computationally reproducible account of the cortical activity in the temporal lobe elicited by the processing of speech  ...  We929 temporal receptive fields (STRFs).  ... 
doi:10.1016/j.neuroimage.2021.118106 pmid:33991696 fatcat:f6nlfeefqfatrnbssqddiq2bhi

Hierarchical spectro-temporal features for robust speech recognition

Xavier Domont, Martin Heckmann, Frank Joublin, Christian Goerick
2008 Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing  
On the other hand, it shows that adaptation to the new sensory input means that the receptive fields of the neurons in the primary auditory cortex are learned from the statistics of the stimuli.  ...  The spectro-temporal receptive field, SRT F (t, x), is then computed by taking the inverse Fourier transform of the histogram (see Figure 2 .10).  ... 
doi:10.1109/icassp.2008.4518635 dblp:conf/icassp/DomontHJG08 fatcat:c7zczp3pvnfizf6knw2hbnsa3m

Encoding of Natural Sounds at Multiple Spectral and Temporal Resolutions in the Human Auditory Cortex

Roberta Santoro, Michelle Moerel, Federico De Martino, Rainer Goebel, Kamil Ugurbil, Essa Yacoub, Elia Formisano, Olaf Sporns
2014 PLoS Computational Biology  
Vice-versa, neuronal populations in anterior/ventral auditory regions preferably encode fine-grained spectral information with low temporal precision.  ...  Specifically, our fMRI results suggest that neuronal populations in posterior/dorsal auditory regions preferably encode coarse spectral information with high temporal precision.  ...  Valente and L. Hausfeld for valuable discussions. Author Contributions  ... 
doi:10.1371/journal.pcbi.1003412 pmid:24391486 pmcid:PMC3879146 fatcat:svylpsby6vchvlmz3hm52tujsa

Sensory cortex is optimised for prediction of future input [article]

Yosef Singer, Yayoi Teramoto, Ben Willmore, Jan W. H. Schnupp, Andrew J King, Nicol S Harper
2017 bioRxiv   pre-print
cortex and, most notably, in their temporal tuning properties.  ...  Furthermore, the better a network predicted future inputs the more closely its receptive fields tended to resemble those in the brain.  ...  The temporal prediction model provides a principled approach to understanding the temporal aspects of RFs.  ... 
doi:10.1101/224758 fatcat:6mfiqanoird73no36vwk2gvoci
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