Publications

Zuraw, K., Lin, I. , Yang, M. & Peperkamp, S. (2020). Competition between whole-word and decomposed representations of English prefixed words. Morphology . doi:10.1007/s11525-020-09354-6

Zuk, N. , Di Liberto, G. & Lalor, E. (2019). Linear-nonlinear Bernoulli modeling for quantifying temporal coding of phonemes in brain responses to continuous speech. In 2019 Conference on Cognitive Computational Neuroscience, Berlin, Germany.

Zimmerer, V. , Hardy, C. , Eastman, J. , Dutta, S. , Varnet, L., Bond, R. , Russell, L. , D. Warren, J. & Varleya, R. (2020). Automated profiling of spontaneous speech in primary progressive aphasia and behavioral-variant frontotemporal dementia: An approach based on usage-frequency. Cortex, 133, 103-119. doi:10.1016/j.cortex.2020.08.027

Ziegler, J., Pech-Georgel, C., George, F. & Lorenzi, C. (2011). Noise on, voicing off: Speech perception deficits in children with specific language impairment. Journal of experimental child psychology, 110(3), 362-72. doi:10.1016/j.jecp.2011.05.001

Ziegler, J., Pech-Georgel, C., George, F. & Lorenzi, C. (2009). Speech-perception-in-noise deficits in dyslexia. Developmental science, 12(5), 732-45. doi:10.1111/j.1467-7687.2009.00817.x

Ziegler, J., Pech-Georgel, C., George, F., Alario, F. & Lorenzi, C. (2005). Deficits in speech perception predict language learning impairment. Proceedings of the National Academy of Sciences of the United States of America, 102(39), 14110-5. doi:10.1073/pnas.0504446102

Zhao, J., De Schotten, T. , Altarelli, I., Dubois, J. & Ramus, F. (2016). Altered hemispheric lateralization of white matter pathways in developmental dyslexia: Evidence from spherical deconvolution tractography. Cortex; a journal devoted to the study of the nervous system and behavior, 76, 51-62. doi:10.1016/j.cortex.2015.12.004

Zhang, D., Gao, M., Xu, D., Shi, W., Gutkin, B., Steffensen, S., Lukas, R. & Wu, J. (2012). Impact of prefrontal cortex in nicotine-induced excitation of ventral tegmental area dopamine neurons in anesthetized rats. Journal of Neuroscience, 32(36), 12366-12375. doi:10.1523/JNEUROSCI.5411-11.2012

Zeldenrust, F., De Knecht, S., Wadman, W., Denève, S. & Gutkin, B. (2017). Estimating the Information Extracted by a Single Spiking Neuron from a Continuous Input Time Series. Frontiers in computational neuroscience, 11, 49. doi:10.3389/fncom.2017.00049

Zeldenrust, F., Gutkin, B. & Denève, S. (2021). Efficient and robust coding in heterogeneous recurrent networks. Plos Computational Biology, 17(4), e1008673. doi:10.1371/journal.pcbi.1008673

Zeghidour, N., Usunier, N., Synnaeve, G., Collobert, R. & Dupoux, E. (2019). End-to-End Speech Recognition from the raw waveform. In Interspeech-2018.

Zannoli, M. & Mamassian, P. (2011). The role of transparency in da Vinci stereopsis. Vision Research, 51(20), 2186-2197. doi:10.1016/j.visres.2011.08.014

Zannoli, M., Cass, J., Alais, D. & Mamassian, P. (2012). Disparity-based stereomotion detectors are poorly suited to track 2D motion. Journal of Vision, 12(11):15, 1-9. doi:10.1167/12.11.15

Zannoli, M., Cass, J., Mamassian, P. & Alais, D. (2012). Synchronized audio-visual transients drive efficient visual search for motion-in-depth. PloS One, 7(5), e37190. doi:10.1371/journal.pone.0037190

Zamani, A. , Novikov, N. & Gutkin, B. (2020). Concomitance of inverse stochastic resonance and stochastic resonance in a minimal bistable spiking neural circuit. Communications in Nonlinear Science and Numerical Simulation, 82, 105024. doi:10.1016/j.cnsns.2019.105024

Zakharov, D., Dogonasheva, O. & Gutkin, B. (2020). Role of Pyramidal Cell M-current in Weak Pyramidal/Interneuronal Gamma Cluster Formation. In 2020 4th Scientific School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia, IEEE. doi:10.1109/DCNAIR50402.2020.9216942

Zakharov, D., Krupa, M., Gutkin, B. & Kuznetsov, A. (2018). High-frequency forced oscillations in neuronlike elements. Physical Review E , 97(6). doi:10.1103/PhysRevE.97.062211

Zakharov, D., Lapish, C., Gutkin, B. & Kuznetsov, A. (2016). Synergy of AMPA and NMDA Receptor Currents in Dopaminergic Neurons: A Modeling Study. Frontiers in computational neuroscience, 10, 48. doi:10.3389/fncom.2016.00048

Yin, P., Strait, D. , Radtke-Schuller, S., Fritz, J. & Shamma, S. (2020). Dynamics and Hierarchical Encoding of Non-compact Acoustic Categories in Auditory and Frontal Cortex. , 30(9), 1649-1663.e5. doi:10.1016/j.cub.2020.02.047

Yin, P., Shamma, S. & Fritz, J. (2016). Relative salience of spectral and temporal features in auditory long-term memory. The Journal of the Acoustical Society of America, 140(6), 4046. doi:10.1121/1.4968395

Wu, J., Gao, M., Shen, J., Shi, W., Oster, A. & Gutkin, B. (2013). Cortical control of VTA function and influence on nicotine reward. Biochemical Pharmacology, 86(8), 1173-1180. doi:10.1016/j.bcp.2013.07.013

Wood, J., Kouider, S. & Carey, S. (2009). Acquisition of singular-plural morphology. Developmental psychology, 45(1), 202-6. doi:10.1037/a0014432

Wong, D., Fuglsang , S., Hjortkjær, J., Ceolini, E., Slaney, M. & de Cheveigné, A. (2018). A Comparison of Regularization Methods in Forward and Backward Models for Auditory Attention Decoding. Frontiers in Neuroscience, 12, 1-16. doi:10.3389/fnins.2018.00531

Won, J., Shim, H., Lorenzi, C. & Rubinstein, J. (2014). Use of amplitude modulation cues recovered from frequency modulation for cochlear implant users when original speech cues are severely degraded. Journal of the Association for Research in Otolaryngology : JARO, 15(3), 423-39. doi:10.1007/s10162-014-0444-1

Won, J., Lorenzi, C., Nie, K., Li, X., Jameyson, E., Drennan, W. & Rubinstein, J. (2012). The ability of cochlear implant users to use temporal envelope cues recovered from speech frequency modulation. The Journal of the Acoustical Society of America, 132(2), 1113-9. doi:10.1121/1.4726013

Winkowski, D., Nagode, D., Donaldson, K., Yin, P., Shamma, S., Fritz, J. & Kanold, P. (2018). Orbitofrontal Cortex Neurons Respond to Sound and Activate Primary Auditory Cortex Neurons. Cerebral cortex , 28(3):868-879(3), 868-879. doi:10.1093/cercor/bhw409

Williams, C., Peyre, H., Toro, R. & Ramus, F. (2021). Neuroanatomical norms in the UK Biobank: The impact of allometric scaling, sex, and age. Human Brain Mapping, 42(14), 4623-4642. doi:10.1002/hbm.25572

Williams, C., Peyre, H., Toro, R. & Ramus, F. (2021). Sex differences in the brain are not reduced to differences in body size. Neuroscience & Biobehavioral Reviews, 130, 509-511. doi:10.1016/j.neubiorev.2021.09.015

Williams, C., Peyre, H., Toro, R., Beggiato, A. & Ramus, F. (2020). Adjusting for allometric scaling in ABIDE I challenges subcortical volume differences in autism spectrum disorder. Human Brain Mapping, 41(16), 4610‑4629. doi:10.1002/hbm.25145

Wierzcho, M., Anzulewicz, A., Hobot, J., Paulewicz, B. & Sackur, J. (2019). In Search of the Optimal Measure of Awareness: Discrete or Continuous? . Consciousness and Cognition, 75, 102798. doi:10.1016/j.concog.2019.102798