Birs- 17w5036: Brain Dynamics and Statistics: Simulation versus Data

  1. Title:
    Noise in the Brain: Statistical and Dynamical Perspectives

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  2. Title:
    Hypoelliptic stochastic FitzHugh-Nagumo neuronal model: mixing, up-crossing and estimation of the spike rate

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    Memory and hypoellipticity in neuronal models

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    At the crossroad between invariant manifolds and the role of noise

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    Maintaining spatial working memory across time in stochastic bump attractor models

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  6. Title:
    What can we learn from deep-learning? Models and validation of neurobiological learning inspired by modern deep artificial neural networks

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    Poster presentation: Modeling with Stochastic Differential Equations and Mixed Effects

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  8. Title:
    Pattern formation via stochastic neural field equations

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  9. Title:
    Integrate and Fire like models with stable distribution for the Interspike Intervals

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  10. Title:
    State-Dependent Control of Oscillatory Brain Dynamics

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  11. Title:
    Novel manifestation of the noise-aided signal enhancement

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  12. Title:
    Noise in large-scale neuronal networks, brain rhythms and neural avalanches

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  13. Title:
    Spontaneous activity and information transmission in neural populations

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  14. Title:
    How high-order image statistics shape cortical visual processing

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  15. Title:
    Neuronal population activity involved in motor patterns of the spinal cord: spiking regimes and skewed involvement

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  16. Title:
    Variability and regularity in neurotransmitter systems

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  17. Title:
    Emergence of cascades in the linear and nonlinear Hawkes processes

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  18. Title:
    Quasi-Synchronisation in a stochastic spiking neural network

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  19. Title:
    Burst ensemble multiplexing: connecting dendritic spikes with cortical inhibition

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  20. Title:
    Population coding in electric sensing: origin and function of noise correlations

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