Systematic Computation of Nonlinear Cellular and Molecular Dynamics with Low-Power CytoMimetic Circuits: A Simulation Study

This paper presents a novel method for the systematic implementation of low-power microelectronic circuits aimed at computing nonlinear cellular and molecular dynamics. The method proposed is based on the Nonlinear Bernoulli Cell Formalism (NBCF), an advanced mathematical framework stemming from the Bernoulli Cell Formalism (BCF) originally exploited for the modular synthesis and analysis of linear, time-invariant, high dynamic range, logarithmic filters. Our approach identifies and exploits the striking similarities existing between the NBCF and coupled nonlinear ordinary differential equations (ODEs) typically appearing in models of naturally encountered biochemical systems. The resulting continuous-time, continuous-value, low-power CytoMimetic electronic circuits succeed in simulating fast and with good accuracy cellular and molecular dynamics. The application of the method is illustrated by synthesising for the first time microelectronic CytoMimetic topologies which simulate successfully: 1) a nonlinear intracellular calcium oscillations model for several Hill coefficient values and 2) a gene-protein regulatory system model. The dynamic behaviours generated by the proposed CytoMimetic circuits are compared and found to be in very good agreement with their biological counterparts. The circuits exploit the exponential law codifying the low-power subthreshold operation regime and have been simulated with realistic parameters from a commercially available CMOS process. They occupy an area of a fraction of a square-millimetre, while consuming between 1 and 12 microwatts of power. Simulations of fabrication-related variability results are also presented.

[1]  P. G. Drazin,et al.  Nonlinear systems: Frontmatter , 1992 .

[2]  T. Rink,et al.  Repetitive spikes in cytoplasmic calcium evoked by histamine in human endothelial cells , 1988, Nature.

[3]  G. Sell,et al.  The Hopf Bifurcation and Its Applications , 1976 .

[4]  P. Olver Nonlinear Systems , 2013 .

[5]  A. Andronov Theory of bifurcations of dynamic systems on a plane = Teoriya bifurkatsii dinamicheskikh sistem na ploskosti , 1971 .

[6]  J. Walker,et al.  Book Reviews : THEORY OF BIFURCATIONS OF DYNAMIC SYSTEMS ON A PLANE A. A. Andronov, E. A. Leontovich, I. I. Gordon, and A. G. Maier J. Wiley & Sons, New York , New York (1973) , 1976 .

[7]  S. Schuster,et al.  Modelling of simple and complex calcium oscillations , 2002 .

[8]  A Goldbeter,et al.  Minimal model for signal-induced Ca2+ oscillations and for their frequency encoding through protein phosphorylation. , 1990, Proceedings of the National Academy of Sciences of the United States of America.

[9]  Kwabena Boahen,et al.  Translinear circuits in subthreshold MOS , 1996 .

[10]  Rahul Sarpeshkar,et al.  Ultra Low Power Bioelectronics: Fundamentals, Biomedical Applications, and Bio-Inspired Systems , 2010 .

[11]  P. J. Holmes,et al.  Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields , 1983, Applied Mathematical Sciences.

[12]  Orla Feely,et al.  Modelling the dynamics of log-domain circuits , 2007, Int. J. Circuit Theory Appl..

[13]  M. Elowitz,et al.  A synthetic oscillatory network of transcriptional regulators , 2000, Nature.

[14]  S. Houser,et al.  Synchronous Occurrence of Spontaneous Localized Calcium Release From the Sarcoplasmic Reticulum Generates Action Potentials in Rat Cardiac Ventricular Myocytes at Normal Resting Membrane Potential , 1987, Circulation research.

[15]  Emmanuel M. Drakakis,et al.  Log-domain filtering and the Bernoulli cell , 1999 .

[16]  A Goldbeter,et al.  Protein phosphorylation driven by intracellular calcium oscillations: a kinetic analysis. , 1992, Biophysical chemistry.

[17]  A Goldbeter,et al.  Allosteric regulation, cooperativity, and biochemical oscillations. , 1990, Biophysical chemistry.

[18]  J. Rinzel,et al.  Equations for InsP3 receptor-mediated [Ca2+]i oscillations derived from a detailed kinetic model: a Hodgkin-Huxley like formalism. , 1994, Journal of theoretical biology.

[19]  G. Efthivoulidis,et al.  Noise analysis of externally linear systems , 2000 .

[20]  A Goldbeter,et al.  One-pool model for Ca2+ oscillations involving Ca2+ and inositol 1,4,5-trisphosphate as co-agonists for Ca2+ release. , 1993, Cell calcium.

[21]  Gert Cauwenberghs,et al.  Analog VLSI Stochastic Perturbative Learning Architectures , 1997 .

[22]  K. Aihara,et al.  A model of periodic oscillation for genetic regulatory systems , 2002 .

[23]  E. Sigel,et al.  THE REGULATION OF INTRACELLULAR CALCIUM BY MITOCHONDRIA * , 1978, Annals of the New York Academy of Sciences.

[24]  Ralph Etienne-Cummings,et al.  A programmable array of silicon neurons for the control of legged locomotion , 2004, 2004 IEEE International Symposium on Circuits and Systems (IEEE Cat. No.04CH37512).

[25]  D. Lathrop Nonlinear Dynamics and Chaos: With Applications to Physics, Biology, Chemistry, and Engineering , 2015 .

[26]  C. Toumazou,et al.  "Log-domain state-space": a systematic transistor-level approach for log-domain filtering , 1999 .

[27]  Xiufen Zou,et al.  Synchronization feature of coupled cell-cycle oscillators , 2011, 2011 IEEE International Conference on Systems Biology (ISB).

[28]  Farren J. Isaacs,et al.  Computational studies of gene regulatory networks: in numero molecular biology , 2001, Nature Reviews Genetics.

[29]  Christian Enz,et al.  Low-voltage log-domain signal processing in CMOS and BiCMOS , 1997, Proceedings of 1997 IEEE International Symposium on Circuits and Systems. Circuits and Systems in the Information Age ISCAS '97.

[30]  Masaru Tomita,et al.  Computational Challenges in Cell Simulation: A Software Engineering Approach , 2002, IEEE Intell. Syst..

[31]  P. Holmes,et al.  Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields , 1983, Applied Mathematical Sciences.

[32]  Sylvie Renaud,et al.  A $Q$ -Modification Neuroadaptive Control Architecture for Discrete-Time Systems , 2010 .

[33]  A Goldbeter,et al.  Signal-induced Ca2+ oscillations: properties of a model based on Ca(2+)-induced Ca2+ release. , 1991, Cell calcium.

[34]  T. Serrano-Gotarredona,et al.  Cheap and easy systematic CMOS transistor mismatch characterization , 1998, ISCAS '98. Proceedings of the 1998 IEEE International Symposium on Circuits and Systems (Cat. No.98CH36187).

[35]  S. E. Khaikin,et al.  Theory of Oscillators , 1966 .

[36]  A. Thomas,et al.  Agonist-induced cytosolic calcium oscillations originate from a specific locus in single hepatocytes. , 1990, The Journal of biological chemistry.

[37]  Sylvie Renaud,et al.  Real-Time Simulation of Biologically Realistic Stochastic Neurons in VLSI , 2010, IEEE Transactions on Neural Networks.

[38]  Carver A. Mead,et al.  Neuromorphic electronic systems , 1990, Proc. IEEE.

[39]  Gert Cauwenberghs,et al.  Neuromorphic Silicon Neuron Circuits , 2011, Front. Neurosci.

[40]  A. Michel Dynamics of feedback systems , 1984, Proceedings of the IEEE.

[41]  T. Serrano-Gotarredona,et al.  CMOS transistor mismatch model valid from weak to strong inversion , 2003, ESSCIRC 2004 - 29th European Solid-State Circuits Conference (IEEE Cat. No.03EX705).

[42]  R Heinrich,et al.  Modeling the interrelations between the calcium oscillations and ER membrane potential oscillations. , 1997, Biophysical chemistry.

[43]  Yannis Tsividis,et al.  Externally linear, time-invariant systems and their application to companding signal processors , 1997 .

[44]  A Goldbeter,et al.  Properties of intracellular Ca2+ waves generated by a model based on Ca(2+)-induced Ca2+ release. , 1994, Biophysical journal.

[45]  M. Berridge,et al.  Cytosolic calcium oscillators , 1988, FASEB journal : official publication of the Federation of American Societies for Experimental Biology.

[46]  Michael J. Berridge,et al.  Inositol phosphates and cell signalling , 1989, Nature.

[47]  C. Toumazou,et al.  Log-domain filters, translinear circuits and the Bernoulli cell , 1997, Proceedings of 1997 IEEE International Symposium on Circuits and Systems. Circuits and Systems in the Information Age ISCAS '97.