A VLSI Circuit Emulation of Chemical Synaptic Transmission Dynamics and Postsynaptic DNA Transcription

被引:3
作者
Alam, Sadia [1 ]
Hasan, S. M. Rezaul [1 ]
机构
[1] Massey Univ, Sch Engn & Adv Technol, Ctr Res Analog & VLSI Microsyst Design, Albany 0632, New Zealand
关键词
Action potential; deoxyribonucleic acid (DNA); gene transcription; neuromorphic circuits; neurotransmitter; synapse; synaptic transmission dynamics; VLSI emulation; GENETIC CIRCUITS; SILICON NEURON; MODEL; MECHANISMS; EXPRESSION; PRECISION; AMPLITUDE; SYNAPSES; PATHWAYS; CHANNEL;
D O I
10.1109/TVLSI.2015.2416350
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Chemical synaptic transmission dynamics in the mammalian wetware control the activities of a living creature. During this cascading process, biological information is transferred from one neuron to another (the next) neuron. Many electronic circuits have been designed to implement neural synaptic communication; however, the invention of the memristor has raised the prospect of novel, highly efficient, and miniaturized neural circuit emulation. A novel VLSI circuit emulation of the chemical synaptic process at the biomolecular level (molecular level neuromorphic circuit) has been presented in this paper. Memristors and operational amplifiers in various configurations are key components in this silicon-based emulation. Commencement of deoxyribonucleic acid (DNA) transcription of certain neural gene in the postsynaptic neuron (through Ca+2 ion stimulation) is a major consequence of the synaptic transmission dynamics. Thus, this paper also proposes an integrated circuit model for the postsynaptic neural DNA transcription. A comparison of the silicon-based measured results using the proposed model with experimentally reported biological data justifies the validity of the proposed model. Stochastic aspects are also simulated through Monte Carlo analysis of the circuit model.
引用
收藏
页码:678 / 691
页数:14
相关论文
共 64 条
[1]   Investigating the Neural Correlates of Pathological Cortical Networks in Alzheimer's Disease Using Heterogeneous Neuronal Models [J].
Abuhassan, Kamal ;
Coyle, Damien ;
Maguire, Liam P. .
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2012, 59 (03) :890-896
[2]   Memristor Bridge Synapse-Based Neural Network and Its Learning [J].
Adhikari, Shyam Prasad ;
Yang, Changju ;
Kim, Hyongsuk ;
Chua, Leon O. .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2012, 23 (09) :1426-1435
[3]   Modelling of calcium ion (Ca+2) conductance in nerve membrane protein channel as memristive circuit element [J].
Alam, S. ;
Hasan, S. M. Rezaul .
ELECTRONICS LETTERS, 2011, 47 (25) :1361-1362
[4]   Integrated Circuit Modeling of Biocellular Post-Transcription Gene Mechanisms Regulated by MicroRNA and Proteasome [J].
Alam, Sadia ;
Hasan, S. M. Rezaul .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2013, 60 (09) :2298-2310
[5]  
[Anonymous], 2007, AM HER MED DICT
[6]  
[Anonymous], 2006, REC CLASS SIGN TRANS
[7]  
[Anonymous], 1993, QUANTITIES UNITS SYM
[8]  
[Anonymous], 2010, LINEAR SCALE FUNCTIO
[9]  
[Anonymous], 2012, NEURON BRAIN
[10]  
Bear MF, 2007, NEUROSCIENCE EXPLORI