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IJCNN
2000
IEEE

A 2D Neuromorphic VLSI Architecture for Modeling Selective Attention

14 years 3 months ago
A 2D Neuromorphic VLSI Architecture for Modeling Selective Attention
Selectiveattentionis a mechanismsused to sequentiallyselectthe spatiallocationsof salientregionsin the sensor’sfieldof view. This mechanism overcomesthe problem of flooding limitedprocessing capacitysystemswith sensory information. It is found in many biologicalsensory systems and can be a useful engineering tool for artificialvisual systems. We present a hardware model of a selectiveattention mechanism implemented on a VLSI chip,using analog neuromorphic circuits.The chip makes use of a spike based representation for receiving input signals,transmittingoutput signals and for shifting the selection of the attended input stimulus over time. The chip can be interfaced to neuromorphic sensors and actuators, for implementing multi-chip selectiveattentionsystems. We describe the characteristicsof the circuitsused in the architecture,and present experimental data measured from the system.
Giacomo Indiveri
Added 31 Jul 2010
Updated 31 Jul 2010
Type Conference
Year 2000
Where IJCNN
Authors Giacomo Indiveri
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