ENS - Ecole Normale Supérieure
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Publications

Article dans une revue internationale  

Lussange, J., Belianin, A., Bourgeois-Gironde, S. & Gutkin, B. (2018). A bright future for financial agent-based models. arxiv, nc

Autres  

Lussange, J., Belianin, A., Bourgeois-Gironde, S. & Gutkin, B. (2017). A bright future for financial agent-based models. arXiv preprint arXiv:1801.08222

Article dans une revue internationale  

Bobashev, G., Holloway, J., Solano, E. & Gutkin, B. (2017). A Control Theory Model of Smoking. Methods report (RTI Press), 10. doi:10.3768/rtipress.2017.op.0040.1706

Acte de conférence non expertisé  

Caze, R., Humphries, M., Gutkin, B. & Schultz, S. (2013). A difficult classification for neurons without dendrites. In Neural Engineering (NER), 2013 6th International IEEE/EMBS Conference on, San Diego, CA, USA, IEEE, 215-218. doi:10.1109/NER.2013.6695910

Article dans une revue internationale  

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

Article dans une revue internationale  

Oster, A. & Gutkin, B. (2011). A reduced model of DA neuronal dynamics that displays quiescence, tonic firing and bursting. Journal of Physiology Paris, 105, 53-58. doi:10.1016/j.jphysparis.2011.07.012

Article dans une revue internationale  

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

Article dans une revue internationale  

Mcdonnell, M., Iannella, N., To, M., Tuckwell, H., Jost, J., Gutkin, B. & Ward, L. (2015). A review of methods for identifying stochastic resonance in simulations of single neuron models. Network: Computation in Neural Systems, 26(2), 35-71. doi:10.3109/0954898X.2014.990064

Article dans une revue internationale  

Dumont, G., Payeur , A. & Longtin , A. (2017). A stochastic-field description of finite-size spiking neural networks. PLoS Comput Biol, 13(8), e1005691. doi:10.1371/journal.pcbi.1005691

Autres  

Martinez-Saito, M. , Konovalov, R. , Piradov, M. , Shestakova, A. , Gutkin, B. & Klucharev, V. (2018). Action in auctions: neural and computational mechanisms of bidding behavior. BioRxiv, 464925. doi:10.1101/464925

Article dans une revue internationale  

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), 885-898. doi:10.1002/hipo.20804

Article dans une revue internationale  

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

Article dans une revue internationale  

Fontolan, L., Krupa, M., Hyafil, A. & Gutkin, B. (2013). Analytical insights on theta-gamma coupled neural oscillators. Journal of Mathematical Neuroscience, 3(1), 1-20. doi:10.1186/2190-8567-3-16

Article dans une revue internationale  

Novikov, N. & Gutkin, B. (2018). and Gamma Oscillations in Working Memory Functions. Psychology. Journal of Higher School of Economics, 15(1), 174-182

Article dans une revue internationale  

Stiefel, K., Gutkin, B. & Sejnowski, T. (2008). Cholinergic neuromodulation changes phase response curve shape and type in cortical pyramidal neurons. PLoS ONE, 3(12). doi:10.1371/journal.pone.0003947

Article dans une revue internationale  

Tolu, S., Eddine, R., Marti, F., David, V., Graupner, M., Pons, S., Baudonnat, M., Husson, M., Besson, M., Reperant, C., Zemdegs, J., Pagès, C., Hay, Y., Lambolez, B., Caboche, J., Gutkin, B., Gardier, A., Changeux, J., Faure, P. & Maskos, U. (2013). Co-activation of VTA da and GABA neurons mediates nicotine reinforcement. Molecular Psychiatry, 18(3), 382-393. doi:10.1038/mp.2012.83

Article dans une revue internationale  

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

Article dans une revue internationale  

Bobashev, G., Costenbader, E. & Gutkin, B. (2007). Comprehensive mathematical modeling in drug addiction sciences. Drug and Alcohol Dependence, 89(1), 102-106. doi:10.1016/j.drugalcdep.2006.12.029

Article dans une revue internationale  

Tegnér, J., Compte, A., Auffray, C., An, G., Cedersund, G., Clermont, G., Gutkin, B., Oltvai, Z., Stephan, K., Thomas, R. & Villoslada, P. (2009). Computational disease modeling - Fact or fiction? BMC Systems Biology, 3. doi:10.1186/1752-0509-3-56

M2
Stage
Informations pratiques
LNC2
Laboratoire:

LNC2

Équipe
Mathematics of Neural Circuits
Responsable
Boris Gutkin
Durée du stage
5-6 months
Langue
French and/or English

Alzheimer’s disease (AD) is characterized by progressive cognitive deterioration from early mild cognitive impairment (MCI)) to dementia. The multi-scale causes of such pathologies, from the subcellular to the brain level, remain elusive to experimental approaches alone. The masters project is geared towards developing new models of cell-specific pathologies associated with AD and examining their effects at teh population and functional level. Specifically the models developed will identify AD-linked beta amyloid (Ba) role in neural activity alterations and cognitive impairments. The models, constrained by state-of-the-art data, will relate abnormalities at the receptor and cellular level with deficits in cognitive functions. We will focus on data-based modeling of early AD when low levels of Ba interact with elements of the neuronal circuit (data from collaborator labs). We will examine the Ba action through nicotinic acetylcholine receptors (NNRs) on brain activity seen in AD/MCI: notably the hyperfrontality and perturbations of the theta rhythm.

The intern taking part in this project will work on one of the two aspects to specifically delineate the role of Ba action on NNRs of multiple subtypes (homomeric alpha7, heteromeric alpha7, beta2, alpha 5) in 1. the progressive onset of fronto-cortical hyperactivity or 2. the role of Ba-a7 action on failure of theta rhythm in the hippocampus. This they will be able to participate in one of two specific Aims:

Aim1: Guided by cutting edge data from Maskos lab (Pasteur Institute), we will build on our earlier developed models of NNR action in PFC circuitry to discover precise mechanisms by which soluble Ba acts on the NNR expressed on inhibitory circuitry to provoke hyperactivity. 
 

Aim2: Guided by data from Yakel lab (NIEHS) our framework will extend to a mesoscopic spiking circuit model of theta induction in the hippocampus and Ba-a7 induced dynamics pathology. 

Aim3: We will use these to model key cognitive tasks (e.g. working memory) and identify links between Ba-NNR pathways and MCI. We will profile potential nicotinic agents for functional amelioration. 

Intern will receive training in computational modelling, analysis and the neurobiology of AD. Intern will take part in the scientific life of the GNT: seminars, lectures, presentations.

M2
Internship
Informations pratiques
LNC2
Laboratoire:

LNC2

Équipe
Mathematics of Neural Circuits
Responsable
Boris Gutkin
Durée du stage
5-6 months
Langue
French and/or English

Alzheimer’s disease (AD) is characterized by progressive cognitive deterioration from early mild cognitive impairment (MCI)) to dementia. The multi-scale causes of such pathologies, from the subcellular to the brain level, remain elusive to experimental approaches alone. The masters project is geared towards developing new models of cell-specific pathologies associated with AD and examining their effects at teh population and functional level. Specifically the models developed will identify AD-linked beta amyloid (Ba) role in neural activity alterations and cognitive impairments. The models, constrained by state-of-the-art data, will relate abnormalities at the receptor and cellular level with deficits in cognitive functions. We will focus on data-based modeling of early AD when low levels of Ba interact with elements of the neuronal circuit (data from collaborator labs). We will examine the Ba action through nicotinic acetylcholine receptors (NNRs) on brain activity seen in AD/MCI: notably the hyperfrontality and perturbations of the theta rhythm.

The intern taking part in this project will work on one of the two aspects to specifically delineate the role of Ba action on NNRs of multiple subtypes (homomeric alpha7, heteromeric alpha7, beta2, alpha 5) in 1. the progressive onset of fronto-cortical hyperactivity or 2. the role of Ba-a7 action on failure of theta rhythm in the hippocampus. This they will be able to participate in one of two specific Aims:

Aim1: Guided by cutting edge data from Maskos lab (Pasteur Institute), we will build on our earlier developed models of NNR action in PFC circuitry to discover precise mechanisms by which soluble Ba acts on the NNR expressed on inhibitory circuitry to provoke hyperactivity. 
 

Aim2: Guided by data from Yakel lab (NIEHS) our framework will extend to a mesoscopic spiking circuit model of theta induction in the hippocampus and Ba-a7 induced dynamics pathology. 

Aim3: We will use these to model key cognitive tasks (e.g. working memory) and identify links between Ba-NNR pathways and MCI. We will profile potential nicotinic agents for functional amelioration. 

Intern will receive training in computational modelling, analysis and the neurobiology of AD. Intern will take part in the scientific life of the GNT: seminars, lectures, presentations.

Ouvrage  

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

Article dans une revue internationale  

Tran-Van-Minh, A., Caze, R., Abrahamsson, T., Cathala, L., Gutkin, B. & Digregorio, D. (2015). Contribution of sublinear and supralinear dendritic integration to neuronal computations. Frontiers in cellular neuroscience, 9, 67. doi:10.3389/fncel.2015.00067

Article dans une revue internationale  

Morozova, E., Myroshnychenko, M., Zakharov, D., Di Volo, M., Gutkin, B., Lapish, C. & Kuznetsov, A. (2016). Contribution of synchronized GABAergic neurons to dopaminergic neuron firing and bursting. Journal of neurophysiology, 116(4), 1900-1923. doi:10.1152/jn.00232.2016

Article dans une revue internationale  

Dipoppa, M., Szwed, M. & Gutkin, B. (2016). Controlling Working Memory Operations by Selective Gating: The Roles of Oscillations and Synchrony. Advances in cognitive psychology, 12(4), 209-232. doi:10.5709/acp-0199-x

Article dans une revue internationale  

Dipoppa, M. & Gutkin, B. (2013). Correlations in background activity control persistent state stability and allow execution of working memory tasks. Frontiers in Computational Neuroscience, 7, 139. doi:10.3389/fncom.2013.00139

Article dans une revue internationale  

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