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- W2040329317 abstract "We have developed an analog very-large-scale integrated (aVLSI) electronic circuit that emulates a compartmental model of a neuronal dendrite. The horizontal conductances of the compartmental model are implemented as a switched capacitor network. The transmembrane conductances are implemented as transconductance amplifiers. The electrotonic properties of our silicon cable are qualitatively similar to those of the ideal passive cable that is commonly used to model mathematically the electrotonic behavior of neurons. In particular the propagation of excitatory postsynaptic potentials is realistic, and we are easily able to emulate such classical synaptic integration models as direction selectivity. We are also able to emulate the backpropagation into the dendrite of single somatic spikes and bursts of spikes. Thus, this silicon dendrite is suitable for incorporation in detailed silicon neurons operating in real-time; in particular for the emulation of forward- and backpropagating electrical activities found in real neurons." @default.
- W2040329317 created "2016-06-24" @default.
- W2040329317 creator A5003408325 @default.
- W2040329317 creator A5051852119 @default.
- W2040329317 date "2001-03-01" @default.
- W2040329317 modified "2023-09-30" @default.
- W2040329317 title "Forward- and backpropagation in a silicon dendrite" @default.
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- W2040329317 doi "https://doi.org/10.1109/72.914532" @default.
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