Birs- 17w5036: Brain Dynamics and Statistics: Simulation versus Data
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Title: Noise in the Brain: Statistical and Dynamical Perspectives
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Title: Hypoelliptic stochastic FitzHugh-Nagumo neuronal model: mixing, up-crossing and estimation of the spike rate
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Title: Memory and hypoellipticity in neuronal models
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Title: At the crossroad between invariant manifolds and the role of noise
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Title: Maintaining spatial working memory across time in stochastic bump attractor models
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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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Title: Poster presentation: Modeling with Stochastic Differential Equations and Mixed Effects
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Title: Pattern formation via stochastic neural field equations
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Title: Integrate and Fire like models with stable distribution for the Interspike Intervals
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Title: State-Dependent Control of Oscillatory Brain Dynamics
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Title: Novel manifestation of the noise-aided signal enhancement
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Title: Noise in large-scale neuronal networks, brain rhythms and neural avalanches
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Title: Spontaneous activity and information transmission in neural populations
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Title: How high-order image statistics shape cortical visual processing
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Title: Neuronal population activity involved in motor patterns of the spinal cord: spiking regimes and skewed involvement
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Title: Variability and regularity in neurotransmitter systems
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Title: Emergence of cascades in the linear and nonlinear Hawkes processes
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Title: Quasi-Synchronisation in a stochastic spiking neural network
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Title: Burst ensemble multiplexing: connecting dendritic spikes with cortical inhibition
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Title: Population coding in electric sensing: origin and function of noise correlations
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