ENS - Ecole Normale Supérieure
Back to top

Publications

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.

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

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  

Volk, D., Dubinin, I., Gutkin, B., Myasnikova, A. & Nikulin, V. (2018). Cross-Frequency Synchrony Analysis. Frontiers in Neuroinformatics , 12, 72. doi:10.3389/fninf.2018.00072

Article dans une revue internationale  

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

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

Article dans une revue internationale  

Chalk, M., Masset, P., Denève, S. & Gutkin, B. (2017). Sensory noise predicts divisive reshaping of receptive fields. PLoS computational biology, 13(6), e1005582. doi:10.1371/journal.pcbi.1005582

Article dans une revue internationale  

Dumont, G., Ermentrout, G. & Gutkin, B. (2017). Macroscopic phase-resetting curves for spiking neural networks. Physical review. E, 96, 042311. doi:10.1103/PhysRevE.96.042311

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

Article dans une revue internationale  

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

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  

Koukouli, F., Rooy, M., Tziotis, D., Sailor, K., O'Neill, H., Levenga, J., Witte, M., Nilges, M., Changeux, J., Hoeffer, C., Stitzel, J., Gutkin, B., Digregorio, D. & Maskos, U. (2017). Nicotine reverses hypofrontality in animal models of addiction and schizophrenia. Nature medicine, 23(3), 347-354. doi:10.1038/nm.4274

Article dans une revue internationale  

Maex, R. & Gutkin, B. (2017). Temporal integration and 1/f power scaling in a circuit model of cerebellar interneurons. Journal of neurophysiology, 118(1), 471-485. doi:10.1152/jn.00789.2016

Article dans une revue internationale  

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

Article dans une revue internationale  

Buchin, A., Chizhov, A., Huberfeld, G., Miles, R. & Gutkin, B. (2016). Reduced Efficacy of the KCC2 Cotransporter Promotes Epileptic Oscillations in a Subiculum Network Model. The Journal of Neuroscience, 36(46), 11619--11633. doi:10.1523/JNEUROSCI.4228-15.2016

Article dans une revue internationale  

Buchin, A., Rieubland, S., Häusser, M., Gutkin, B. & Roth, A. (2016). Inverse Stochastic Resonance in Cerebellar Purkinje Cells. PLoS computational biology, 12(8), e1005000. doi:10.1371/journal.pcbi.1005000

Article dans une revue internationale  

Canavier, C., Evans, R., Oster, A., Pissadaki, E., Drion, G., Kuznetsov, A. & Gutkin, B. (2016). Implications of cellular models of dopamine neurons for disease. Journal of neurophysiology, 116(6), 2815-2830. doi:10.1152/jn.00530.2016

Article dans une revue internationale  

Chalk, M., Gutkin, B. & Denève, S. (2016). Neural oscillations as a signature of efficient coding in the presence of synaptic delays. eLife, . doi:10.7554/eLife.13824

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  

Morozova, E., Zakharov, D., Gutkin, B., Lapish, C. & Kuznetsov, A. (2016). Dopamine Neurons Change the Type of Excitability in Response to Stimuli. PLoS computational biology, 12(12), e1005233. doi:10.1371/journal.pcbi.1005233

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  

Novikov, N. & Gutkin, B. (2016). Robustness of persistent spiking to partial synchronization in a minimal model of synaptically driven self-sustained activity. Physical review. E, 94(5-1), 052313. doi:10.1103/PhysRevE.94.052313

Article dans une revue internationale  

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