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Real-time simulations of networks of Hodgkin–Huxley neurons using analog circuits

Q. Zou, Y. Bornat, J. Tomas, S. Renaud, A. Destexhe
2006 Neurocomputing  
The traditional dilemma for performing network simulations with analog circuits is the great difficulty of handling the connectivity in hardware.  ...  We illustrate the behavior of this system by comparing the analog simulations with traditional computer simulations of the same models. r  ...  Introduction We describe here a platform for simulating networks of neurons based on the Hodgkin-Huxley (HH) formalism [6] and conductance-based synaptic interactions.  ... 
doi:10.1016/j.neucom.2005.12.061 fatcat:ygxf77ruzzflxj6u4xbhrfl4j4

Hardware computation of conductance-based neuron models

L. Alvado, J. Tomas, S. Saı̈ghi, S. Renaud, T. Bal, A. Destexhe, G. Le Masson
2004 Neurocomputing  
These circuits provide valuable tools for real-time simulations, including hybrid applications where single-neuron or network models are interfaced with biological cells.  ...  We review di erent applications of silicon conductance-based neuron models implemented on analog circuits.  ...  This circuit forming a feedback loop was modeled in real-time using analog circuits and was used to study the role of oscillations on information transfer by the visual thalamus.  ... 
doi:10.1016/j.neucom.2004.01.030 fatcat:2gzlboltrzglpn6ezetajvtjaq

Neuromimetic ICs with analog cores: an alternative for simulating spiking neural networks

Sylvie Renaud, Jean Tomas, Yannick Bornat, Adel Daouzli, Sylvain Saighi
2007 2007 IEEE International Symposium on Circuits and Systems  
As a primary illustration, we present results from one of the platforms: hardware simulations of single neurons and adaptive neural networks modeled using the Hodgkin-Huxley formalism for point neurons  ...  Such systems are an alternative to completely digital solutions for the simulation of spiking neurons or neural networks.  ...  (z) The size of the network, evaluated by its number of neurons. (y) The simulation time scale referenced to the biological time scale; 10 0 on this axis is real-time.  ... 
doi:10.1109/iscas.2007.378286 dblp:conf/iscas/RenaudTBDS07 fatcat:akxbcmtur5gtflchxqcftoux7i

Analog-digital simulations of full conductance-based networks of spiking neurons with spike timing dependent plasticity

Quan Zou, Yannick Bornat, Sylvain SaÏghi, Jean Tomas, Sylvie Renaud, Alain Destexhe
2006 Network  
We introduce and test a system for simulating networks of conductance-based neuron models using analog circuits.  ...  At the single-cell level, we use custom-designed analog circuits (ASICs) that simulate two types of spiking neurons based on Hodgkin-Huxley like dynamics: "regular spiking" excitatory neurons with spike-frequency  ...  Thus, this analog-digital system can manage in real time networks of Hodgkin-Huxley like spiking neurons, connected with conductance-based excitatory and inhibitory synapses.  ... 
doi:10.1080/09548980600711124 pmid:17162612 fatcat:jkjorhpywrg3hk4bbsrnqdwe3a

Josephson junction simulation of neurons

Patrick Crotty, Dan Schult, Ken Segall
2010 Physical Review E  
Using existing fabrication technologies, large interconnected networks of Josephson junction neurons would operate fully in parallel.  ...  They would be orders of magnitude faster than both traditional computer simulations and biological neural networks.  ...  ACKNOWLEDGMENTS We acknowledge the generous support of Colgate University's Picker Interdisciplinary Science Institute.  ... 
doi:10.1103/physreve.82.011914 pmid:20866655 fatcat:5hcqgscey5dwjohwi553ofe4ri

Digital implementation of Hodgkin–Huxley neuron model for neurological diseases studies

Timothée Levi, Farad Khoyratee, Sylvain Saïghi, Yoshiho Ikeuchi
2017 Artificial Life and Robotics  
The most biologically plausible one is the Hodgkin-Huxley (HH) model. The connection between electrical devices and living cells require a tunable real-time system.  ...  Biomimetic neural network is one solution in front of neurological diseases. The neuron replacement should be processed by reproducing the timing and the shape of the spike.  ...  These works are used for neural network simulation (accelerated-time) and they are not optimized in terms of surface and number of neurons.  ... 
doi:10.1007/s10015-017-0397-7 fatcat:gunux3ofgng65ad32titrd6tay

IP-based design reuse for analog systems

Timothée Levi, Jean Tomas, Noëlle Lewis, Pascal Fouillat, Valentín de Armas Sosa, Kamran Eshraghian, Félix B. Tobajas
2007 VLSI Circuits and Systems III  
The case study consists in the neuron-level integration of a complete system that emulates spiking neural networks.  ...  As it is often the case, the development of the analog part of the system requires the largest amount of time, due to the lack of formalism and automation in that domain.  ...  Simulation time is a key issue in our case, considering the complexity of the Kirchoff network of the circuit.  ... 
doi:10.1117/12.721882 fatcat:7phhjwp5w5cbxjuzzwf5mrmulu

PAX: A mixed hardware/software simulation platform for spiking neural networks

S. Renaud, J. Tomas, N. Lewis, Y. Bornat, A. Daouzli, M. Rudolph, A. Destexhe, S. Saïghi
2010 Neural Networks  
The neurons and networks are configurable, and are computed in "biological real time" by which we mean that the difference between simulated time and simulation time is guaranted lower than 50µs.  ...  After presenting the issues and context involved in the design and use of hardware-based spiking neural networks, we describe the analog neuromimetic integrated circuits which form the core of the platform  ...  The PAX system computes the neurons" activity (V MEM ) in real-time using analog hardware.  ... 
doi:10.1016/j.neunet.2010.02.006 pmid:20434309 fatcat:2dtewzdc3zh3tatompvknggmmq

Electronic Model of FitzHugh-Nagumo Neuron

A. Petrovas, S. Lisauskas, A. Slepikas
2012 Elektronika ir Elektrotechnika  
The most famous mathematical model of the real neuron, whose adequacy was validated experimentally, is Hodgkin-Huxley model [1, 3] .  ...  Despite the powerful computers the modeling of the entire neural network using numerical simulation requires a lot of calculation resources and time.  ... 
doi:10.5755/j01.eee.122.6.1835 fatcat:prejusk6trhobbhhinmrx7nmga

Electronic arts imitate life

Andreas G. Andreou
1991 Nature  
These are which they combine with neurophysiolo-simulations of realistic Hodgkin-Huxley gical principles to implement a realistic neuron models , much like the silicon model of cortical neurons .  ...  Similar simulations take analog 4 VLSI silicon devices use signals half a day on a state-of-the-art engineerthat are graded and continuous in time. ing workstation.  ...  These are which they combine with neurophysiolo-simulations of realistic Hodgkin-Huxley gical principles to implement a realistic neuron models , much like the silicon model of cortical neurons .  ... 
doi:10.1038/354501a0 pmid:1758490 fatcat:cceipmxx2newjif3xnjcuhgcai

The Past, Present, and Future of Real-Time Control in Cellular Electrophysiology

Jennifer A. Bauer, Katherine M. Lambert, John A. White
2014 IEEE Transactions on Biomedical Engineering  
The technological driver of these advances was the voltage-clamp method, an early and extremely influential form of real-time control in electrophysiology.  ...  For over 60 years, real-time control has been an important technique in the study of excitable cells. Two such control-based technologies are reviewed here.  ...  Fernandez for reading an earlier version of this manuscript. This work was supported by the National Institutes of Health (R01 MH085074, R01 NS078331, R01 EB016407) and the State of Utah.  ... 
doi:10.1109/tbme.2014.2314619 pmid:24710815 pmcid:PMC4086259 fatcat:yspnvyau4jetlhwxfdx4vvsksy

A Library of Analog Operators Based on the Hodgkin-Huxley Formalism for the Design of Tunable, Real-Time, Silicon Neurons

Sylvain Saighi, Yannick Bornat, Jean Tomas, Gwendal Le Masson, Sylvie Renaud
2011 IEEE Transactions on Biomedical Circuits and Systems  
In this paper, we present a library of analog operators used for the analog real-time computation of the Hodgkin-Huxley formalism.  ...  Index Terms-AVLSI circuits, Hodgkin-Huxley (HH) formalism, neuromorphic engineering, silicon (Si) neuron.  ...  We have already used this library to design another IC dedicated to the real-time hardware simulation of medium-sized neural networks (up to 128 neurons).  ... 
doi:10.1109/tbcas.2010.2078816 pmid:23850974 fatcat:mrizhahjvjawnebbkmmwps3jea

Biophysical synaptic dynamics in an analog VLSI network of hodgkin-huxley neurons

T. Yu, G. Cauwenberghs
2009 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society  
We study synaptic dynamics in a biophysical network of four coupled spiking neurons implemented in an analog VLSI silicon microchip.  ...  The four neurons implement a generalized Hodgkin-Huxley model with individually configurable rate-based kinetics of opening and closing of Na+ and K+ ion channels.  ...  The design of the chip originated in a class project at UCSD, and the chip was fabricated through the MOSIS Educational Program.  ... 
doi:10.1109/iembs.2009.5333272 pmid:19964071 fatcat:5mypdxnihvbr7bb3csjnzpk36e

Automated Parameter Estimation of the Hodgkin-Huxley Model Using the Differential Evolution Algorithm: Application to Neuromimetic Analog Integrated Circuits

Laure Buhry, Filippo Grassia, Audrey Giremus, Eric Grivel, Sylvie Renaud, Sylvain Saïghi
2011 Neural Computation  
We propose a new estimation method for the characterization of the Hodgkin-Huxley formalism.  ...  In a second step, this new estimation technique is applied to the automated tuning of neuromimetic analog integrated circuits designed by our research group.  ...  et la Sciences of L'Oréal France, UNESCO, Académie des Sciences.  ... 
doi:10.1162/neco_a_00170 pmid:21671785 fatcat:hru2qxut6vcypfphvqnurl6m7m

A neural simulation system based on biologically realistic electronic neurons

S Renaud-Le Masson, G Le Masson, L Alvado, S Saı̈ghi, J Tomas
2004 Information Sciences  
The characteristics of the simulator are discussed and simulation examples are presented, including the implementation of "hybrid networks", where living neurons and artificial one are interacting in real-time  ...  The system, based on artificial electronic neurons implemented in specific integrated circuits, computes in real-time and emulates in analogue mode the electrical activity of single neurons or small neural  ...  These circuits simulate analogically and in real-time the neural networks electrical activity, using biologically realistic models of neural excitability and connectivity.  ... 
doi:10.1016/j.ins.2003.03.007 fatcat:5tcrjo2rx5gd3ewh54kqnsdxqq
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