Mapping Complex, Large – Scale Spiking Networks on Neural VLSI

نویسندگان

  • Christian Mayr
  • Matthias Ehrlich
  • Stephan Henker
  • Karsten Wendt
  • René Schüffny
چکیده

Traditionally, VLSI implementations of spiking neural nets have featured large neuron counts for fixed computations or small exploratory, configurable nets. This paper presents the system architecture of a large configurable neural net system employing a dedicated mapping algorithm for projecting the targeted biology-analog nets and dynamics onto the hardware with its attendant constraints. Keywords—Large scale VLSI neural net, topology mapping, complex pulse communication.

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تاریخ انتشار 2012