Training in Methods in Computational Neuroscience

Abstract

The course went very well in terms of the lectures. After four years of experimenting with speakers and topics, we converged onto a set of competent, relevant and lively speakers. The response of the students to these faculty was uniformly high: this group of faculty managed to capture the imagination of the students. In previous years, a common complaint was that some fraction of the faculty spent most of their lectures on their individual research topics, rather than focusing more broadly on methodological or on conceptual issues (the trade- off between depth versus breath). This core group spent most of their three to five lectures which they each gave (including one or more tutorials) on general issues, and, between them, spanned the themes relevant to Computational Neuroscience, from single neurons to chips, neural networks and information processing. This group should certainly be considered for any future course.

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Document Details

Document Type
Technical Report
Publication Date
Aug 29, 1992
Accession Number
ADA261806

Entities

People

  • Christof Koch
  • James M. Bower

Organizations

  • Marine Biological Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Brain
  • Cognitive Science
  • Computational Neuroscience
  • Computational Science
  • Computer Programming
  • Computer Programs
  • Computer Vision
  • Computers
  • Differential Equations
  • Electrical Engineering
  • Health Services
  • Mathematical Analysis
  • Mathematical Models
  • Medical Personnel
  • Nervous System
  • Neurons
  • Neurosciences

Readers

  • Educational Psychology
  • Research Science/Academic Research
  • Technical Research and Report Writing.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy