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Nabil Imam, Thomas A. Cleland, Rajit Manohar, Paul A. Merolla,
John V. Arthur, Filipp Akopyan, and Dharmendra S. Modha
We present a biomimetic system that captures essential functional
properties of the glomerular layer of the mammalian olfactory bulb,
specifically including its capacity to decorrelate similar odor
representations without foreknowledge of the statistical distributions
of analyte features. Our system is based on a digital neuromorphic
chip consisting of 256 leaky-integrate-and-fire neurons, 1024×256
crossbar synapses, and address-event representation communication
circuits. The neural circuits configured in the chip reflect
established connections among mitral cells, periglomerular cells,
external tufted cells, and superficial short-axon cells within the
olfactory bulb, and accept input from convergent sets of sensors
configured as olfactory sensory neurons. This configuration generates
functional transformations comparable to those observed in the
glomerular layer of the mammalian olfactory bulb. Our circuits,
consuming only 45 pJ of active power per spike with a power supply of
0.85V, can be used as the first stage of processing in low-power
artificial chemical sensing devices inspired by natural olfactory
systems.
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