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Found 6 papers, 0 papers with code
On the Spontaneous Dynamics of Synaptic Weights in Stochastic Models with Pair-Based STDP
In the case of inhibitory synapse the pairing schemes matter less, and we observe convergence of the synaptic weight to a non-null value only for Hebbian STDP.
IntrinSeqNet: Learning to Estimate the Reflectance from Varying Illumination
Intrinsic image decomposition describes an image based on its reflectance and shading components.
Multilingual prediction of Alzheimer's disease through domain adaptation and concept-based language modelling
There is growing evidence that changes in speech and language may be early markers of dementia, but much of the previous NLP work in this area has been limited by the size of the available datasets.
Monotonic Gaussian Process for Spatio-Temporal Disease Progression Modeling in Brain Imaging Data
We introduce a probabilistic generative model for disentangling spatio-temporal disease trajectories from series of high-dimensional brain images.
Robust Point Light Source Estimation Using Differentiable Rendering
Specifically, the estimation of a point light source is required for the shadows cast by the inserted object to be consistent with the real scene.
Models of protein production along the cell cycle: an investigation of possible sources of noise
In this article, we quantitatively study, through stochastic models, the efects of several intracellular phenomena, such as cell volume growth, cell division, gene replication as well as fuctuations of available RNA polymerases and ribosomes.
