Abstract:
In this paper, we present the analog circuit design and implementation of an adaptive neuromorphic olfaction chip. An analog VLSI device with on-chip chemosensor array, o...Show MoreMetadata
Abstract:
In this paper, we present the analog circuit design and implementation of an adaptive neuromorphic olfaction chip. An analog VLSI device with on-chip chemosensor array, on-chip sensor interface circuitry and on-chip learning neuromorphic olfactory model has been fabricated in a single chip using Austria Microsystems 0.6 mum CMOS technology. Drawing inspiration from biological olfactory systems, the neuromorphic analog circuits used to process signals from the on-chip odour sensors make use of temporal "spiking" signals to act as carriers of odour information. An on-chip spike time dependent learning circuit is integrated to dynamically adapt weights for odour detection and classification. All the component subsystems implemented on chip have been successfully tested in silicon
Date of Conference: 21-24 May 2006
Date Added to IEEE Xplore: 11 September 2006
Print ISBN:0-7803-9389-9
ISSN Information:
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- IEEE Keywords
- Index Terms
- Olfactory System ,
- Neuromorphic Chip ,
- Analog VLSI ,
- Silicon ,
- Spike Times ,
- Information Carriers ,
- Circuit Implementation ,
- Analog Circuits ,
- Time Constant ,
- Output Current ,
- Output Neurons ,
- Spiking Neural Networks ,
- Postsynaptic Neurons ,
- Positive Phase ,
- Negative Phase ,
- Refractory Period ,
- Synaptic Weights ,
- Large Constant ,
- Finite Interval ,
- Synaptic Responses ,
- Presynaptic Spike ,
- Postsynaptic Spike ,
- Spike-timing-dependent Plasticity ,
- Leaky Integrator ,
- Principal Neurons ,
- Membrane Potential Of Neurons ,
- Current Mirror ,
- Input Spike ,
- Dynamic Phase ,
- Circuit Time
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Olfactory System ,
- Neuromorphic Chip ,
- Analog VLSI ,
- Silicon ,
- Spike Times ,
- Information Carriers ,
- Circuit Implementation ,
- Analog Circuits ,
- Time Constant ,
- Output Current ,
- Output Neurons ,
- Spiking Neural Networks ,
- Postsynaptic Neurons ,
- Positive Phase ,
- Negative Phase ,
- Refractory Period ,
- Synaptic Weights ,
- Large Constant ,
- Finite Interval ,
- Synaptic Responses ,
- Presynaptic Spike ,
- Postsynaptic Spike ,
- Spike-timing-dependent Plasticity ,
- Leaky Integrator ,
- Principal Neurons ,
- Membrane Potential Of Neurons ,
- Current Mirror ,
- Input Spike ,
- Dynamic Phase ,
- Circuit Time