Publications by authors named "Daniel Gil Ferreira"
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Synopsis of recent research by authors named "Daniel Gil Ferreira"
- Daniel Gil Ferreira's research primarily focuses on enhancing the analysis methods for neural data by utilizing advanced statistical techniques, specifically sequential Monte Carlo methods and state-space models.
- In his 2012 article, Ferreira demonstrates how particle filtering can be employed to accurately infer synaptic inputs from noisy voltage recordings in neurons, enabling better understanding of excitatory and inhibitory synaptic activity.
- His 2010 work critiques existing state-space models used in neural data analysis, proposing direct optimization approaches that improve inference accuracy while maintaining computational efficiency in the presence of non-Gaussian observations.
