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Ferroelectric Relaxation Oscillators and Spiking Neurons

Zheng Wang, Asif I. Khan
2019 IEEE Journal on Exploratory Solid-State Computational Devices and Circuits  
Such FEFET-based systems are basic building blocks for efficient computational platforms for non-von Neumann and neuromorphic computing paradigms, such as coupled oscillator networks and spiking neural  ...  The bias conditions of the FEFET can dynamically tune the hysteresis; therefore, the dynamics of oscillations and spikings can be controlled, which enable both excitation and inhibition functions in ferroelectric  ...  Luo, and L. Martin for providing the PZT sample, and A. Raychowdhury, S. Datta, J. Gomez, and B. Crafton for insightful discussions.  ... 
doi:10.1109/jxcdc.2019.2928769 fatcat:4hllmeyxe5bhjledwndq2lv3mq

Spintronic nano-devices for bio-inspired computing [article]

Julie Grollier, Damien Querlioz, Mark D. Stiles
2016 arXiv   pre-print
One such functionality, non-volatile memory, can provide massive embedded memory in unconventional circuits, thus escaping the von-Neumann bottleneck arising when memory and processors are located separately  ...  Other features of spintronic devices that could be beneficial for bio-inspired computing include tunable fast non-linear dynamics, controlled stochasticity, and the ability of single devices to change  ...  By carefully choosing the shape of neuronal voltage pulses, their resistance can evolve autonomously and gradually according to the firing of pre-and post-neurons [90] .  ... 
arXiv:1606.07700v2 fatcat:h5eorqvne5d4hc4gvyj2pystlm

Cell autonomy and synchrony of suprachiasmatic nucleus circadian oscillators

Jennifer A. Mohawk, Joseph S. Takahashi
2011 Trends in Neurosciences  
The individual cells of the SCN are capable of functioning independently from one another and therefore must form a cohesive circadian network through intercellular coupling.  ...  We will review the evidence for multiple oscillators within the SCN, highlighting recent advances in our understanding of the complex organization and function of the cellular and network-level SCN clock  ...  Rae Silver and Nicholas Foley for the contribution of Figure 3 . We also thank Dr. Seung-Hee Yoo for helpful discussions.  ... 
doi:10.1016/j.tins.2011.05.003 pmid:21665298 pmcid:PMC3775330 fatcat:6o5d3krrnbcxrktidb5wy6e2aq

Towards Neuro-Inspired Electronic Oscillators Based on The Dynamical Relaying Mechanism

Gianluca Susi, Simone Acciarito, Teodoro Pascual, Alessandro Cristini, Fernando Maestú
2019 International Journal on Advanced Science, Engineering and Information Technology  
We used the recent leaky integrated and fire with latency (LIFL) as neuron model.  ...  Electronic oscillators are used for the generation of both continuous and discrete signals, playing a fundamental role in today's electronics.  ...  ACKNOWLEDGMENTS GS acknowledges financial support by the Spanish Ministry of Economy and Competitiveness (PTA-2015-10395-I)  ... 
doi:10.18517/ijaseit.9.2.8347 fatcat:i4qkavtyqbbpnnru74hj77khuq

Kick synchronization versus diffusive synchronization [article]

Alexandre Mauroy, Pierre Sacré, Rodolphe Sepulchre
2013 arXiv   pre-print
coupling.  ...  , and the (hybrid) kick model, that accounts for most popular examples of synchronization, but for which only few theoretical results exist.  ...  Acknowledgments This paper presents research results of the Belgian Network DYSCO (Dynamical Systems, Control, and Optimization), funded by the Interuniversity Attraction Poles Programme, initiated by  ... 
arXiv:1209.4970v3 fatcat:lj2hla3iqjgrzkhkufecljvnu4

Spintronic Nanodevices for Bioinspired Computing

Julie Grollier, Damien Querlioz, Mark D. Stiles
2016 Proceedings of the IEEE  
One such functionality, non-volatile memory, can provide massive embedded memory in unconventional circuits, thus escaping the von-Neumann bottleneck arising when memory and processors are located separately  ...  Other features of spintronic devices that could be beneficial for bioinspired computing include tunable fast nonlinear dynamics, controlled stochasticity, and the ability of single devices to change functions  ...  By carefully choosing the shape of neuronal voltage pulses, their resistance can evolve autonomously and gradually according to the firing of preneurons and post-neurons [90] .  ... 
doi:10.1109/jproc.2016.2597152 pmid:27881881 pmcid:PMC5117478 fatcat:2627tylxtzauvim5uc57znskgi

Kick synchronization versus diffusive synchronization

Alexandre Mauroy, Pierre Sacre, Rodolphe Sepulchre
2012 2012 IEEE 51st IEEE Conference on Decision and Control (CDC)  
coupling.  ...  , and the (hybrid) kick model, that accounts for most popular examples of synchronization, but for which only few theoretical results exist.  ...  The most popular integrate-and-fire oscillator is the leaky integrate-and-fire (LIF) oscillator, characterized by the monotone vector field F ( x) = S + Rx > 0, ∀x ∈ [x, x] = [0, 1].  ... 
doi:10.1109/cdc.2012.6425821 dblp:conf/cdc/MauroySS12 fatcat:rbwgvlbllbf4nlumzddp5m67we

A Neurobiological Theory of Meaning in Perception Part I: Information and Meaning in Nonconvergent and Nonlocal Brain Dynamics

Walter J. Freeman
2003 International Journal of Bifurcation and Chaos in Applied Sciences and Engineering  
Unlike computers, brains function hierarchically. Sensory and motor information is inferred from pulses of microscopic axons.  ...  The focus is on the higher frequency ranges of cortical oscillations. Part I introduces background on information, meaning and oscillatory activity (EEG).  ...  Acknowledgments This work was funded in part by research grants from NIMH (MH06686), ONR (N63373 N00014-93-1-0938), NASA (NCC 2-1244), and NSF (EIA-0130352).  ... 
doi:10.1142/s0218127403008144 fatcat:rzdt4gmxgfaldk3fsbbapdiola

Towards synthetic neural networks: Can artificial electrochemical neurons be coupled with artificial memristive synapses? [article]

Ewelina Wlaźlak, Dawid Przyczyna, Rafael Gutierrez, Gianaurelio Cuniberti, Konrad Szaciłowski
2019 arXiv   pre-print
The enormous amount of data generated nowadays worldwide is increasingly triggering the search for unconventional and more efficient ways of processing and classifying information, eventually able to transcend  ...  This requires challenging the intrinsic definition of the single units and the architecture of computing machines. (...)  ...  Furthermore, such ensembles of coupled electrochemical oscillators show other features characteristic for neural networks (or other networks of coupled oscillators): explosive synchronization 147 and Kuramoto  ... 
arXiv:1912.05196v1 fatcat:o2fxrfcirvbgjaar46g65cbwae

Nonlinearity in Memristors for Neuromorphic Dynamic Systems

Ke Yang, J. Joshua Yang, Ru Huang, Yuchao Yang
2021 Small Science  
Acknowledgements This work was supported by the National Key R&D Program of China (2017YFA0207600), National Natural Science Foundation of China (61925401, 92064004, 61927901), Project 2019BD002 and 2020BD010  ...  circuit parameters.e) Response of phase-change device conductance when a series of crystallizing pulses is applied, which allows the integrate-and-fire dynamics in a phase-change neuron.  ...  [95] hen the potential of the membrane exceeds the threshold, the neuron is expected to fire and release electric pulses.  ... 
doi:10.1002/smsc.202100049 fatcat:dm7a6ml3jbcqbpcacytjh6laue

Neural networks as spatio-temporal pattern-forming systems

Bard Ermentrout
1998 Reports on progress in physics (Print)  
Models of neural networks are developed from a biological point of view. Small networks are analysed using techniques from dynamical systems.  ...  The behaviour of spatially and temporally organized neural fields is then discussed from the point of view of pattern formation.  ...  Coupled oscillatory nets We review the behaviour of a pair of excitatory-inhibitory neural networks that have autonomous oscillations in the absence of coupling.  ... 
doi:10.1088/0034-4885/61/4/002 fatcat:3yjxvax3tbfbdcxwurfblz66cm

Dynamics of globally coupled oscillators: Progress and perspectives

Arkady Pikovsky, Michael Rosenblum
2015 Chaos  
In this paper, we discuss recent progress in research of ensembles of mean field coupled oscillators.  ...  Representative examples are understanding of pedestrian synchrony on footbridges and of other social phenomena, development of efficient highfrequency power sources, modeling and control of neuronal rhythms  ...  A well-studied example is the van Vreeswijk model of globally coupled leaky integrate-and-fire neurons. 77 Another example is the emergence of dephasing and bursting in a system of Morris-Lecar neuronal  ... 
doi:10.1063/1.4922971 pmid:26428569 fatcat:6i6a34ik7fetjoaojq7mtkpsz4

Time Is of the Essence: Neural Codes, Synchronies, Oscillations, Architectures

Peter Cariani, Janet M. Baker
2022 Frontiers in Computational Neuroscience  
Time is of the essence in how neural codes, synchronies, and oscillations might function in encoding, representation, transmission, integration, storage, and retrieval of information in brains.  ...  This Hypothesis and Theory article examines observed and possible relations between codes, synchronies, oscillations, and types of neural networks they require.  ...  AUTHOR CONTRIBUTIONS Both authors have made a substantial, direct, and intellectual contribution to the work, and have approved it for publication.  ... 
doi:10.3389/fncom.2022.898829 pmid:35814343 pmcid:PMC9262106 fatcat:fuifh37oybc2jisft4ctuuvaly

Engineering reaction–diffusion networks with properties of neural tissue

Thomas Litschel, Michael M. Norton, Vardges Tserunyan, Seth Fraden
2018 Lab on a Chip  
The application of soft lithography to create reaction–diffusion networks capable of generating spatiotemporal patterns analogous to biological central pattern generators.  ...  Acknowledgements We thank Xiaotong Geng, Rémi Boros, Matthew Cambria and Ethan Chan for their help as undergraduate researchers during the initial phase of the project.  ...  Introduction Central pattern generators are a class of neural networks found in the autonomic nervous system that perform cyclic functions and govern motions such as swimming, walking, and the peristaltic  ... 
doi:10.1039/c7lc01187c pmid:29297916 fatcat:yyokbd7iufghdp3zw24pz6dn44

Neural Information Processing: between synchrony and chaos

Josep Rossello, Josep Rossello, Vincent Canals, Antoni Morro
2012 Nature Precedings  
functionalities that imply a non-linear processing (synchronized states) and information transmission and convolution (chaotic states).  ...  functionality.  ...  Acknowledgements This work was supported in part by the Spanish Ministry of Science and Technology and in part by the Regional European Development Funds (FEDER) under EU Project TEC2011-23113 Author  ... 
doi:10.1038/npre.2012.6935 fatcat:jjvhpbwnwrbnnmjskscrn5dgum
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