Title :
A low-power adaptive integrate-and-fire neuron circuit
Author :
Indiveri, Giacomo
Author_Institution :
Inst. of Neuroinformatics, Zurich Univ., Switzerland
Abstract :
We present a low-power analog circuit for implementing a model of a leaky integrate and fire neuron. Next to being optimized for low-power consumption, the proposed circuit includes elements for implementing spike frequency adaptation, for setting an arbitrary refractory period and for modulating the neuron´s threshold voltage. We present experimental data from a prototype chip, implemented using a standard 1.5 μm CMOS process.
Keywords :
CMOS analogue integrated circuits; adaptive signal processing; analogue processing circuits; circuit optimisation; low-power electronics; neural chips; 1.5 micron; arbitrary refractory period; leaky integrate and fire neuron; low-power adaptive integrate-and-fire neuron circuit; low-power analog circuit; low-power consumption; neuromorphic multi-chip systems; neuron threshold voltage modulation; prototype chip; refractory period settings; spike frequency adaptation; standard CMOS process; Capacitors; Circuits; Energy consumption; Fires; Inverters; Neuromorphics; Neurons; Prototypes; Pulse generation; Threshold voltage;
Conference_Titel :
Circuits and Systems, 2003. ISCAS '03. Proceedings of the 2003 International Symposium on
Print_ISBN :
0-7803-7761-3
DOI :
10.1109/ISCAS.2003.1206342
