Escape noiseExplores escape noise in computational neuroscience, covering stochastic intensity, interspike intervals, likelihood functions, noise model comparison, and rate versus temporal codes.
Models and dataCovers the optimization of neuron models for coding and decoding in computational neuroscience.
Image Processing TechniquesCovers image processing techniques including noise addition, filtering, and image enhancement using various filters and tools.
Parameter estimationExplores parameter estimation in neuron models, focusing on quadratic optimization and linear fit.
Modeling in vitro dataExplores modeling in vitro data for computational neuroscience, including predicting subthreshold voltage and spike times.
Electrical MetrologyExplores different types of noise in electrical systems and their impact on electronic devices.
Comparison of Noise ModelsCompares diffusive noise and escape noise models in computational neuroscience, discussing simulation, calculation, and model fitting.
