Science + Research + Art

Technical Skills


  • 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


  • 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