Auditory Models & Code
Carney, LH, Li, T., McDonough, JM (2015), Speech Coding in the Brain: Representation of Formants by Midbrain Neurons Tuned to Sound Fluctuations. eNeuro 2(4) e0004-15.2015 1–1. (DOI: 10.1523/ENEURO.0004-15.2015)
Zilany, M.S.A., Bruce, I.C., and Carney, L.H. (2014), Updated parameters and expanded simulation options for a model of the auditory periphery. (JASA 135(1):283-286)
- Zilany et al., JASA 2014 Manuscript© Acoustical Society of America. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the Acoustical Society of America.
- Zilany et al., Model Code (2014)
Mao, J., Vosoughi, A., and Carney, L.H. (2013), Predictions of diotic tone-in-noise detection based on a nonlinear optimal combination of energy, envelope, and fine-structure cues. (JASA 134:396-406)
- The following article appeared in J. Acoust. Soc. Am. Volume 134, Issue 1, pp. 396-406
- Mao et al., JASA 2013 Manuscript© Acoustical Society of America. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the Acoustical Society of America.
Zilany, M. S. A. and Carney, L.H. (2010), Power-Law Dynamics in an Auditory-Nerve Model Can Account for Neural Adaptation to Sound-Level Statistics. (Journal of Neuroscience 30(31):10380-10390)
Davidson et al., 2009 - Diotic and dichotic detection
The following article appeared in J. Acoust. Soc. Am. Volume 126, Issue 4, pp. 1889-1905
Davidson, S.A., Gilkey, R.H., Colburn, H.S., Carney, L.H. (2009), Diotic and dichotic detection with reproducible chimeric stimuli. (JASA 126:1889-1905)
The following article appeared in J. Acoust. Soc. Am. Volume 126, Issue 4, pp. 1906-1925
- Davidson et al., JASA 2009 Manuscript© Acoustical Society of America. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the Acoustical Society of America.
Davidson, S.A., Gilkey, R.H., Colburn, H.S., Carney, L.H. (2009), An evaluation of models for diotic and dichotic detection in reproducible noises. (JASA 126:1906-1925)
- Davidson et al., JASA 2009 Manuscript Diotic© Acoustical Society of America. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the Acoustical Society of America.
- Dau model code [zip], Breebaart model code
Zilany, M. S. A., Bruce, I. C., Nelson, P.C., and Carney, L.H. (2009), A phenomenological model of the synapse between the inner hair cell and auditory nerve: Long-term adaptation with power-law dynamics. (JASA 126:2390-2412)
- The following article appeared in J. Acoust. Soc. Am. Volume 126, Issue 5, pp. 2390-2412
- Zilany et al., JASA 2009 Manuscript© Acoustical Society of America. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the Acoustical Society of America.
- Zilany et al., Model Code (2009)
Davidson, Gilkey, Colburn, & Carney, 2006 - Binaural detection with narrowband and wideband reproducible noise maskers. III. Monaural and diotic detection and model results (JASA 119:2258-2275)
- The following article appeared in J. Acoust. Soc. Am. Volume 119, Issue 4, pp. 2258-2275
- Davidson et al., JASA 2006 Manuscript© Acoustical Society of America. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the Acoustical Society of America.
- Supplementary Figures & Noise Waveforms
Tan and Carney (2006), Predictions of Formant-Frequency Discrimination in Noise Based on Model Auditory-Nerve Responses. (JASA 120:1435-1445)
- The following article appeared in J. Acoust. Soc. Am. Volume 120, Issue 3, pp. 1435-1445
- Tan et al., JASA 2006 Manuscript© Acoustical Society of America. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the Acoustical Society of America.
- Tan et al., Model Code (2006)
Code for Timing Spikes with sub-microsecond accuracy using TDT RP2 and RV8 [by Yan (Felicia) Gai]
Tan and Carney, 2005, Encoding of vowel-like sounds in the auditory nerve: Model predictions of discrimination performance (JASA 117: 1210-1222)
The following article appeared in J. Acoust. Soc. Am. Volume 117, Issue 3, pp. 1210-1222
- Tan et al., JASA 2005 Manuscript© Acoustical Society of America. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the Acoustical Society of America.
- Tan et al., Model Code (2005)
Jackson and Carney, 2005 - The Spontaneous-Rate Histogram of the Auditory Nerve Can Be Explained by Only Two or Three Spontaneous Rates and Long-Range Dependence (JARO 6:148-159)
Zhou, Carney & Colburn, 2005 - A Model for Interaural Time Difference Sensitivity in the Medial Superior Olive: Interaction of Excitatory and Inhibitory Synaptic Inputs, Channel Dynamics, and Cellular Morphology (Journal of Neuroscience 25:3046-3058)
Zhang and Carney, 2005 - Response properties of an integrate-and-fire model that receives subthreshold inputs. (Neural Computation - 17:2571-2601)
Zhang and Carney, 2005 - Analysis of models for the synapse between the inner hair cell and the auditory nerve. (JASA - 118:1540-1553)
The following article appeared in J. Acoust. Soc. Am. Volume 118, Issue 3, pp. 1540-1553
- Zhang et al., JASA 2005 Manuscript© Acoustical Society of America. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the Acoustical Society of America.
- Zhang et al., Meddis Model Code
Nelson and Carney (2004) - A phenomenological model of peripheral and central neural responses to amplitude-modulated tones. (JASA 116:2173-2186) Models for responses to Amplitude-Modulation at the AN, CN, and IC levels
Nelson et al., JASA 2004 Manuscript© Acoustical Society of America. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the Acoustical Society of America.
The following article appeared in J. Acoust. Soc. Am. Volume 116, Issue 4, pp. 2173-2186
AN Model with Frequency Glide in Impulse Response (and Level-Dependent BF): Tan, Q., and Carney, L.H. (2003) A phenomenological model for the responses of auditory-nerve fibers: II. Nonlinear tuning with a frequency glide. J. Acoust. Soc. Am. 114: 2007-2020.
The following article appeared in J. Acoust. Soc. Am. Volume 114, Issue 4, pp. 2007-2020
- Tan et al., JASA 2003 Manuscript© Acoustical Society of America. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the Acoustical Society of America.
- Tan et al., AN3 Model Code [tar], Tan et al., AN3 Model Code
The following article appeared in J. Acoust. Soc. Am. Volume 116, Issue 5, pp. 3224-3225
- Tan et al., JASA 2003 Erratum© Acoustical Society of America. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the Acoustical Society of America.
Colburn, H. S., Carney, L. H., and Heinz, M. G. (2003) Quantifying the information in auditory-nerve responses for level discrimination. JARO, 04: 294-311.
- Colburn et al., JARO 2003 Manuscript
- I & F Model Code (developed by Xuedong Zhang)Integrate & Fire Model (Shot Noise) for Spike-based Coincidence-Detection Model Neurons
Carney, L. H., Heinz, M. G., Evilsizer, M. E., Gilkey, R. H., and Colburn, H. S. (2002) Auditory Phase Opponency: A Temporal Model for Masked Detection at Low Frequencies. Acta Acustica united with Acustica, 88:334-347.
- Carney et al., Acustica 2002 Manuscript
- I & F Model Code (developed by Xuedong Zhang)Integrate & Fire Model (Shot Noise) for Spike-based Coincidence-Detection Model Neurons
Heinz et al., 2001 - Level and Frequency coding in the AN (Neural Computation)
- Heinz et al, Neural Comp 2001 Part I Heinz, M.G., Colburn, H.S., and Carney, L.H. (2001a). "Evaluating auditory performance limits: I. One-parameter discrimination using a computational model for the auditory nerve," Neural Computation 13, 2273-2316.
- Heinz et al., Neural Comp 2001 Part II Heinz, M.G., Colburn, H.S., and Carney, L.H. (2001b). "Evaluating auditory performance limits: II. One-parameter discrimination with random level variation," Neural Computation 13, 2317-2339
- Heinz et al., NC Model Code [tar], Heinz et al., NC Model Code
Spike Generator that can be used with AN models (by B. Scott Jackson) More efficient than spike-generator implementation in Zhang et al. 2001 and Carney 1993. See Documentation.
- Jackson Spike Generator Code (Matlab Mex file) (Updated August 2011)
- SGFast Mex Function
Auditory-Nerve (AN) Model - Gammatone-filter based time-varying gain & bandwidth: X. Zhang, M. G. Heinz, I. C. Bruce, and L. H. Carney, A phenomenological model for the responses of auditory-nerve fibers: I. Nonlinear tuning with compression and suppression. J. Acoust. Soc. Am. 2001, 109:648-670.
The following article appeared in J. Acoust. Soc. Am. Volume 109, Issue 2, pp. 648-670
- Zhang et all., JASA 2001 Manuscript© Acoustical Society of America. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the Acoustical Society of America.
- Zhang et al., AN Model Code [tar], Zhang et al., AN Model Code
AN Model modified according to Human Auditory-Filter Parameters: Heinz, M. G., Zhang, X., Bruce, I. C., and Carney, L. H. (2001) Auditory-nerve model for predicting performance limits of normal and impaired listeners. ARLO, 2: 91-96.
Heinz, M.G., Colburn, H.S., and Carney, L.H. (2001) Rate and timing cues associated with the cochlear amplifier: Level discrimination based on Monaural cross-frequency coincidence detection. J. Acoust. Soc. of Am. 110: 2065-2084.
The following article appeared in J. Acoust. Soc. Am. Volume 110, Issue 4, pp. 2065-2084
- Heinz et al., JASA 2001 Manuscript© Acoustical Society of America. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the Acoustical Society of America.
- I & F Model Code (developed by Xuedong Zhang) Integrate & Fire Model (Shot Noise) for Spike-based Coincidence-Detection Model Neurons