Technical Skills

Neuroscience

• Models of cognition (e.g., temporal difference learning, Markov decision process)
• Animal learning theory
• in vivo electrophysiology
• Plexon system
• Cortex & PsyScope software programs to design and run behavioral experiments
• Aseptic technique
• Courses in neurobiology, systems and computational neuroscience, and cognitive neuroscience

Data Analysis

• Discrete and continuous data (neuronal, local field potential, EEG, behavioral)
• Regression models
• Multivariate analyses (e.g., PCA, ICA)
• Basic signal processing and statistical learning theory (e.g., Fourier transforms, correlation analysis, reinforcement learning, k-means, support vector machines)

Engineering & Design

• Prototyping (e.g., CAD drawing, paper prototyping, Wizard of Oz)
• Basic electronics and microcontroller interfacing (e.g., power considerations, LabView, Arduino)
• Courses in microfabrication, electronics, user interface design, physical design and prototyping

Software/Languages

• Data analysis: MATLAB, C++ (R for one course)
• Computer-aided design: AutoCAD, Eagle (SolidWorks for one project)
• Microcontroller interfacing: LabView, Arduino, Processing
• Graphics: Adobe Illustrator & Photoshop
• Documentation: LaTeX, Microsoft Word, Excel, Powerpoint