Explores decision models in computational neuroscience, focusing on competitive dynamics, perceptual decision making, and the problem of free will.
Explores the mechanical and electrical properties of neural tissues, including the brain and spinal cord, as well as the recording of neural signals using various techniques.
Explores DLVO theory for colloid stability and membrane potential, along with dynamic electrochemistry concepts like galvanic cells and Nernst's law.
Covers the analysis of membrane potential data from neuronal classes during whisker sensing in mice, exploring cell properties and sensory modulation.
