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Journal Article

Orientation-selective aVLSI spiking neurons.


Burg,  T. P.
Research Group of Biological Micro- and Nanotechnology, MPI for biophysical chemistry, Max Planck Society;

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Liu, S. C., Kramer, J., Indiveri, G., Delbrück, T., Burg, T. P., & Douglas, R. (2001). Orientation-selective aVLSI spiking neurons. Neural Networks, 14(6-7), 629-643. doi:10.1016/S0893-6080(01)00054-5.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0014-9D06-0
We describe a programmable multi-chip VLSI neuronal system that can be used for exploring spike-based information processing models. The system consists of a silicon retina, a PIC microcontroller, and a transceiver chip whose integrate-and-fire neurons are connected in a soft winner-take-all architecture. The circuit on this multi-neuron chip approximates a cortical microcircuit. The neurons can be configured for different computational properties by the virtual connections of a selected set of pixels on the silicon retina. The virtual wiring between the different chips is effected by an event-driven communication protocol that uses asynchronous digital pulses, similar to spikes in a neuronal system. We used the multi-chip spike-based system to synthesize orientation-tuned neurons using both a feedforward model and a feedback model. The performance of our analog hardware spiking model matched the experimental observations and digital simulations of continuous-valued neurons. The multi-chip VLSI system has advantages over computer neuronal models in that it is real-time, and the computational time does not scale with the size of the neuronal network.