Memristor emulator with spike-timing-dependent-plasticity

Abstract A novel fully floating memristor circuit that accounts for the Spike Timing-Dependent Plasticity (STDP) mechanism is presented in this paper. This proposed circuit does not need any multiplier or extra circuit blocks to provide non-linear characteristics and transistors, which are operated in subthreshold region. We show that memristor circuit exhibits pinched-hysteresis loop in the V-I plane when driven by any sinusoidal voltage source. We demonstrate that the conductance change of the proposed floating memristor exhibits STDP behavior after the application of a pulse-pair train. Finally we present that the time constant of the STDP learning window can be controlled using only one parameter. Proposed memristor emulator circuit that accounts for STDP characteristics is compatible with VLSI systems.

[1]  A. Thomas,et al.  Memristor-based neural networks , 2013 .

[2]  Kwabena Boahen,et al.  A Recurrent Model of Orientation Maps with Simple and Complex Cells , 2003, NIPS.

[3]  Carlos Sánchez-López,et al.  A 16 Hz–160 kHz memristor emulator circuit , 2015 .

[4]  Yunus Babacan,et al.  A spiking and bursting neuron circuit based on memristor , 2016, Neurocomputing.

[5]  A. Hodgkin,et al.  A quantitative description of membrane current and its application to conduction and excitation in nerve , 1952, The Journal of physiology.

[6]  Yunus Babacan,et al.  A new DDCC based memristor emulator circuit and its applications , 2014, Microelectron. J..

[7]  Wulfram Gerstner,et al.  SPIKING NEURON MODELS Single Neurons , Populations , Plasticity , 2002 .

[8]  Alan F. Murray,et al.  Spike timing dependent plasticity (STDP) can ameliorate process variations in neuromorphic VLSI , 2005, IEEE Transactions on Neural Networks.

[9]  Xiaofeng Liao,et al.  Stability analysis of multimode oscillations in three coupled memristor-based circuits , 2016 .

[10]  Nicolangelo Iannella,et al.  Synaptic efficacy cluster formation across the dendrite via STDP , 2006, Neuroscience Letters.

[11]  Piotr Dudek,et al.  Compact silicon neuron circuit with spiking and bursting behaviour , 2008, Neural Networks.

[12]  Fırat Kaçar,et al.  Floating memristor emulator with subthreshold region , 2017 .

[13]  Bernabé Linares-Barranco,et al.  On Spike-Timing-Dependent-Plasticity, Memristive Devices, and Building a Self-Learning Visual Cortex , 2011, Front. Neurosci..

[14]  Mostafa Rahimi Azghadi,et al.  Design and implementation of BCM rule based on spike-timing dependent plasticity , 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

[15]  Eugene M. Izhikevich,et al.  Which model to use for cortical spiking neurons? , 2004, IEEE Transactions on Neural Networks.

[16]  Vittorio Dante,et al.  A VLSI recurrent network of integrate-and-fire neurons connected by plastic synapses with long-term memory , 2003, IEEE Trans. Neural Networks.

[17]  Andrew Adamatzky,et al.  Is spiking logic the route to memristor-based computers? , 2013, 2013 IEEE 20th International Conference on Electronics, Circuits, and Systems (ICECS).

[18]  Wulfram Gerstner,et al.  A neuronal learning rule for sub-millisecond temporal coding , 1996, Nature.

[19]  G. Bi,et al.  Synaptic modification by correlated activity: Hebb's postulate revisited. , 2001, Annual review of neuroscience.

[20]  Z. Wang.  Current-controlled linear MOS earthed and floating resistors and their application , 1990 .

[21]  Shih-Chii Liu,et al.  Temporal coding in a silicon network of integrate-and-fire neurons , 2004, IEEE Transactions on Neural Networks.

[22]  S. Ambrogio,et al.  Spike-timing dependent plasticity in a transistor-selected resistive switching memory , 2013, Nanotechnology.

[23]  Yu Zhang,et al.  Approximated SPICE model for memristor , 2009, 2009 International Conference on Communications, Circuits and Systems.

[24]  Conrad D. James.  Toward Exascale Computing through Neuromorphic Approaches , 2010 .

[25]  Mostafa Rahimi Azghadi,et al.  Efficient design of triplet based Spike-Timing Dependent Plasticity , 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

[26]  Sangho Shin,et al.  Compact Circuit Model and Hardware Emulation for Floating Memristor Devices , 2013, IEEE Circuits and Systems Magazine.

[27]  Kazuyuki Aihara,et al.  A CMOS Spiking Neural Network Circuit with Symmetric/Asymmetric STDP Function , 2009, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

[28]  D. Abbott,et al.  Tunable Low Energy, Compact and High Performance Neuromorphic Circuit for Spike-Based Synaptic Plasticity , 2014, PloS one.

[29]  Alan F. Murray,et al.  Synchrony detection and amplification by silicon neurons with STDP synapses , 2004, IEEE Transactions on Neural Networks.

[30]  Matthew D. Pickett,et al.  Physics-based memristor models , 2013, 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013).

[31]  Gert Cauwenberghs,et al.  Silicon spike-based synaptic array and address-event transceiver , 2004, 2004 IEEE International Symposium on Circuits and Systems (IEEE Cat. No.04CH37512).

[32]  J. Hindmarsh,et al.  A model of neuronal bursting using three coupled first order differential equations , 1984, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[33]  Mostafa Rahimi Azghadi,et al.  A new compact analog VLSI model for Spike Timing Dependent Plasticity , 2013, 2013 IFIP/IEEE 21st International Conference on Very Large Scale Integration (VLSI-SoC).

[34]  L. Abbott,et al.  Competitive Hebbian learning through spike-timing-dependent synaptic plasticity , 2000, Nature Neuroscience.

[35]  W. Gerstner,et al.  Triplets of Spikes in a Model of Spike Timing-Dependent Plasticity , 2006, The Journal of Neuroscience.

[36]  G. Bi,et al.  Synaptic Modifications in Cultured Hippocampal Neurons: Dependence on Spike Timing, Synaptic Strength, and Postsynaptic Cell Type , 1998, The Journal of Neuroscience.

[37]  L. Chua.  Memristor-The missing circuit element , 1971 .

[38]  Nicolangelo Iannella,et al.  Frontiers in Computational Neuroscience Computational Neuroscience , 2022 .

[39]  Carver Mead,et al.  Analog VLSI and neural systems , 1989 .

[40]  Andrew Adamatzky,et al.  Evolution of Plastic Learning in Spiking Networks via Memristive Connections , 2012, IEEE Transactions on Evolutionary Computation.

[41]  Giacomo Indiveri,et al.  A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity , 2006, IEEE Transactions on Neural Networks.

[42]  Shimeng Yu,et al.  Synaptic electronics: materials, devices and applications , 2013, Nanotechnology.

[43]  Mostafa Rahimi Azghadi,et al.  Novel VLSI implementation for triplet-based spike-timing dependent plasticity , 2011, 2011 Seventh International Conference on Intelligent Sensors, Sensor Networks and Information Processing.

[44]  Themistoklis Prodromakis,et al.  A Memristor SPICE Model Accounting for Synaptic Activity Dependence , 2015, PloS one.

[45]  Byoungil Lee,et al.  Nanoelectronic programmable synapses based on phase change materials for brain-inspired computing. , 2012, Nano letters.

[46]  Dalibor Biolek,et al.  SPICE modeling of memristive, memcapacitative and meminductive systems , 2009, 2009 European Conference on Circuit Theory and Design.

[47]  J Joshua Yang,et al.  Memristive devices for computing. , 2013, Nature nanotechnology.

[48]  D. Stewart,et al.  The missing memristor found , 2008, Nature.

[49]  Leon O. Chua,et al.  Memristor Emulator for Memristor Circuit Applications , 2012, IEEE Transactions on Circuits and Systems I: Regular Papers.

[50]  Uri C. Weiser,et al.  TEAM: ThrEshold Adaptive Memristor Model , 2013, IEEE Transactions on Circuits and Systems I: Regular Papers.

[51]  Dalibor Biolek,et al.  SPICE Model of Memristor with Nonlinear Dopant Drift , 2009 .

[52]  S. Benderli,et al.  On SPICE macromodelling of TiO 2 memristors , 2009 .

[53]  T. Serrano-Gotarredona,et al.  STDP and STDP variations with memristors for spiking neuromorphic learning systems , 2013, Front. Neurosci..

[54]  Armin Tajalli,et al.  Implementing Ultra-high-Value Floating Tunable CMOS Resistors , 2008 .

[55]  Ben de Lacy Costello,et al.  Evolving Spiking Networks with Variable Resistive Memories , 2014, Evolutionary Computation.

[56]  Alister Hamilton,et al.  Analog VLSI Circuit Implementation of an Adaptive Neuromorphic Olfaction Chip , 2007, IEEE Transactions on Circuits and Systems I: Regular Papers.

[57]  Muhammad Taher Abuelma'atti,et al.  A continuous-level memristor emulator and its application in a multivibrator circuit , 2015 .

[58]  Bernabé Linares-Barranco,et al.  Memristance can explain Spike-Time-Dependent-Plasticity in Neural Synapses , 2009 .