Simbrain: A visual framework for neural network analysis and education

Simbrain is a visually-oriented framework for building and analyzing neural networks. It emphasizes the analysis of networks which control agents embedded in virtual environments, and visualization of the structures which occur in the high dimensional state spaces of these networks. The program was originally intended to facilitate analysis of representational processes in embodied agents, however it is also well suited to teaching neural networks concepts to a broader audience than is traditional for neural networks courses. Simbrain was used to teach a course at a new university, UC Merced, in its inaugural year. Experiences from the course and sample lessons are provided.

Is There a Net Gener in the House? Dispelling a Mystification

The subject of this essay is the so-called ‘net generation’, the ‘generation @’, or the ‘millennials’ and the speculations about the importance of this generation for teaching. This essay represents both a critical analysis of such allegations and assumptions and a discourse, from the perspective of socialization, on the use of media in teaching.