VLSI Implementation of a Bio-Inspired Olfactory Spiking Neural Network


This paper presents a coffee-power, neuromorphic spiking neural network (SNN) chip that can be integrated in an electronic nose system to classify odor. The proposed SNN takes advantage of sub-threshold oscillation and onset-latency illustration to cut back power consumption and chip area, providing a additional distinct output for every odor input. The synaptic weights between the mitral and cortical cells are modified in step with an spike-timing-dependent plasticity learning rule. During the experiment, the odor knowledge are sampled by a business electronic nose (Cyranose 320) and are normalized before coaching and testing to confirm that the classification result's only caused by learning. Measurement results show that the circuit solely consumed a median power of roughly $murm W$ with a one-V power provide to discriminate odor information. The SNN has either a high or low output response for a given input odor, creating it easy to work out whether or not the circuit has made the correct decision. The measurement results of the SNN chip and some well-known algorithms (support vector machine and also the K-nearest neighbor program) is compared to demonstrate the classification performance of the proposed SNN chip.The mean testing accuracy is eighty seven.fifty nine% for the data employed in this paper.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE :Low-Complexity VLSI Design of Large Integer Multipliers for Fully Homomorphic Encryption - 2018ABSTRACT:Giant integer multiplication has been widely employed in fully homomorphic encryption (FHE). Implementing possible
PROJECT TITLE :Area and Power Efficient VLSI Architecture of Distributed Arithmetic Based LMS Adaptive Filter - 2018ABSTRACT:This paper presents a new area and power efficient VLSI architecture for least-mean-sq. (LMS) adaptive
PROJECT TITLE :An Efficient VLSI Architecture for Convolution Based DWT Using MAC - 2018ABSTRACT:The fashionable real time applications related to image processing and etc., demand high performance discrete wavelet rework (DWT).
PROJECT TITLE :VLSI design of low-cost and high-precision fixed-point reconfigurable FFT processors - 2018ABSTRACT:Quick Fourier transform (FFT) plays an vital role in digital signal processing systems. In this study, the authors
PROJECT TITLE :A Dual-Clock VLSI Design of H.265 Sample Adaptive Offset Estimation for 8k Ultra-HD TV Encoding - 2017ABSTRACT:Sample adaptive offset (SAO) is a newly introduced in-loop filtering component in H.265/High Potency

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry