Publications

Gu, Z., Smith, K. , Loukatou, G., Completo Guerreiro, I., Dudek, S. , Gutkin, B., Jensen, P. & Yakel, J. (2020). Hippocampal Interneuronal α7 nAChRs Modulate Theta Oscillations in Freely Moving Mice . Cell Reports, 31(10), 107740. doi:10.1016/j.celrep.2020.107740

Gutkin, B., Braun, P., Akila, M., Waltner, D. & Guhr, T. (2020). Exact local correlations in kicked chains. Phys. Rev. B, 102, 174307. doi:10.1103/PhysRevB.102.174307

Gutkin, B. & Ahmed, S. (2012). Computational Neuroscience of Drug Addiction.

Gutkin, B. (2015). Theta-neurons. In Springer Verlag (Eds.), Encyclopedia of Comptutational Neuroscience (pp. 1034-1042).

Gutkin, B. & Ermentrout, G. (2006). Neuroscience: Spikes too kinky in the cortex? Nature, 440(7087), 999-1000. doi:10.1038/440999a

Gutkin, B., Dehaene, S. & Changeux, J. (2006). A neurocomputational hypothesis for nicotine addiction. Proceedings of the National Academy of Sciences of the United States of America, 103(4), 1106-1111. doi:10.1073/pnas.0510220103

Gutkin, B., Jost, J. & Tuckwell, H. (2008). Random perturbations of spiking activity in a pair of coupled neurons. Theory in Biosciences, 127(2), 135-139. doi:10.1007/s12064-008-0039-7

Gutkin, B., Jost, J. & Tuckwell, H. (2008). Transient termination of spiking by noise in coupled neurons. EPL, 81(2). doi:10.1209/0295-5075/81/20005

Gwilliams, L. & King, J. (2020). Recurrent processes support a cascade of hierarchical decisions. eLife, 9, e56603. doi:10.7554/eLife.56603

Heeren, W. & Lorenzi, C. (2014). Perception of prosody in normal and whispered French. The Journal of the Acoustical Society of America, 135(4), 2026-40. doi:10.1121/1.4868359

Hupé, J., Joffo, L. & Pressnitzer, D. (2008). Bistability for audiovisual stimuli: Perceptual decision is modality specific. Journal of vision, 8(7), 1.1-15. doi:10.1167/8.7.1

Hupé, J. & Pressnitzer, D. (2012). The initial phase of auditory and visual scene analysis. Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 367(1591), 942-53. doi:10.1098/rstb.2011.0368

Hyafil, A., Fontolan, L., Kabdebon, C., Gutkin, B. & Giraud, A. (2015). Speech encoding by coupled cortical theta and gamma oscillations. eLife, 4, 1-45. doi:10.7554/eLife.06213

Hyafil, A., Giraud, A., Fontolan, L. & Gutkin, B. (2015). Neural Cross-Frequency Coupling: Connecting Architectures, Mechanisms, and Functions. Trends in neurosciences, 38(11), 725-40. doi:10.1016/j.tins.2015.09.001

Jedlicka, P., Deller, T., Gutkin, B. & Backus, K. (2011). Activity-dependent intracellular chloride accumulation and diffusion controls GABA(A) receptor-mediated synaptic transmission. Hippocampus, 21(8), 885-98. doi:10.1002/hipo.20804

Jeong, H. & Gutkin, B. (2007). Synchrony of neuronal oscillations controlled by GABAergic reversal potentials. Neural Computation, 19(3), 706-729. doi:10.1162/neco.2007.19.3.706

Joly, O., Pallier, C., Ramus, F., Pressnitzer, D., Vanduffel, W. & Orban, G. (2012). Processing of vocalizations in humans and monkeys: a comparative fMRI study. NeuroImage, 62(3), 1376-89. doi:10.1016/j.neuroimage.2012.05.070

Joly, O., Ramus, F., Pressnitzer, D., Vanduffel, W. & Orban, G. (2012). Interhemispheric differences in auditory processing revealed by fMRI in awake rhesus monkeys. Cerebral cortex (New York, N.Y. : 1991), 22(4), 838-53. doi:10.1093/cercor/bhr150

Kai, L., Wanyi, L., Kelsey, D., Peng, Z., Jonathan B., F. & Shamma, S. (2019). Adaptive Efficient Coding of Correlated Acoustic Properties. The Journal of Neuroscience, 39(44), 8664--8678. doi:10.1523/JNEUROSCI.0141-19.2019

Kang, H. , Macherey, O., Roman, S. & Pressnitzer, D. (2021). Auditory memory for random time patterns in cochlear implant listeners. The Journal of the Acoustical Society of America, 150(3). doi:10.1121/10.0005728

Kang, H. , Lancelin, D. & Pressnitzer, D. (2018). Memory for Random Time Patterns in Audition, Touch, and Vision. Neuroscience, in press. doi:10.1016/j.neuroscience.2018.03.017

Kang, H. , Agus, T. & Pressnitzer, D. (2017). Auditory memory for random time patterns. The Journal of the Acoustical Society of America, 142(4), 2219. doi:10.1121/1.5007730

Keramati, M. & Gutkin, B. (2014). Homeostatic reinforcement learning for integrating reward collection and physiological stability. eLife, 3. doi:10.7554/eLife.04811

Keramati, M. & Gutkin, B. (2011). A Reinforcement Learning Theory for Homeostatic Regulation. NIPS, .

Keramati, M., Durand, A., Girardeau, P., Gutkin, B. & Ahmed, S. (2017). Cocaine addiction as a homeostatic reinforcement learning disorder. Psychological review, 124(2), 130-153. doi:10.1037/rev0000046

Keramati, M., Ahmed, S. & Gutkin, B. (2017). Misdeed of the need: towards computational accounts of transition to addiction. Current opinion in neurobiology, 46, 142-153. doi:10.1016/j.conb.2017.08.014

King, J. & Wyart, V. (2021). The Human Brain Encodes a Chronicle of Visual Events at each Instant of Time thanks to the Multiplexing of Traveling Waves. Journal of Neuroscience, 41(34), 7224-7233. doi:10.1523/JNEUROSCI.2098-20.2021

King, J. , Charton, F. , Lopez-Paz, D. & Oquab, M. (2020). Back-to-back regression: Disentangling the influence of correlated factors from multivariate observations. NeuroImage, 220, 117028. doi:10.1016/j.neuroimage.2020.117028

King, J. , Gwilliams, L., Holdgraf, C., Sassenhagen, J., Barachant, A., Engemann , D., Larson, E. & Gramfort, A. (2020). Encoding and Decoding Framework to Uncover the Algorithms of Cognition. The Cognitive Neurosciences VI, MIT Press, .

King, A., Varnet, L. & Lorenzi, C. (2019). Accounting for masking of frequency modulation by amplitude modulation with the modulation filter-bank concept. The Journal of the Acoustical Society of America, 145, 2277. doi:10.1121/1.5094344