Accurate analog VLSI model of calcium-dependent bursting neurons

Laflaquiere, A.; Masson, Sylvie Le; Dom, J.P.; Masson, Gwendal Le

doi:10.1109/icnn.1997.616141

Cited by 3 publications

(1 citation statement)

References 10 publications

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“…Using this 'hybrid' setup they verified that many aspects of the pyloric rhythm are accurately reproduced when their DSP based neuron replaces one of the biological neurons in their system. In subsequent work [27,28], this group has developed VLSI devices for integrating the HH models and has utilized them in mixed circuits (ENs and biological neurons), replacing the DSP version of the conductance models in their biological preparations. The complexity of these ENs has not been needed in our modeling nor in the further experiments on their interaction with each other as reported here.…”

Section: Discussionmentioning

confidence: 99%

Synchronous behavior of two coupled electronic neurons

Pinto

Varona²,

Volkovskii³

et al. 2000

Phys. Rev. E

176

113

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We report on experimental studies of synchronization phenomena in a pair of analog electronic neurons ͑ENs͒. The ENs were designed to reproduce the observed membrane voltage oscillations of isolated biological neurons from the stomatogastric ganglion of the California spiny lobster Panulirus interruptus. The ENs are simple analog circuits which integrate four-dimensional differential equations representing fast and slow subcellular mechanisms that produce the characteristic regular/chaotic spiking-bursting behavior of these cells. In this paper we study their dynamical behavior as we couple them in the same configurations as we have done for their counterpart biological neurons. The interconnections we use for these neural oscillators are both direct electrical connections and excitatory and inhibitory chemical connections: each realized by analog circuitry and suggested by biological examples. We provide here quantitative evidence that the ENs and the biological neurons behave similarly when coupled in the same manner. They each display well defined bifurcations in their mutual synchronization and regularization. We report briefly on an experiment on coupled biological neurons and four-dimensional ENs, which provides further ground for testing the validity of our numerical and electronic models of individual neural behavior. Our experiments as a whole present interesting new examples of regularization and synchronization in coupled nonlinear oscillators.

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Section: Discussionmentioning

confidence: 99%

Synchronous behavior of two coupled electronic neurons

Pinto

Varona²,

Volkovskii³

et al. 2000

Phys. Rev. E

176

113

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Electronic circuit implementation of the chaotic Rulkov neuron model

Wagemakers

Sanjuán

2013

Journal of the Franklin Institute

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Toward a digital neuromorphic pitch extraction system

Jones

Meddis

Lim

et al. 2000

IEEE Trans. Neural Netw.

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This paper presents the design of a biologically based signal processing system implemented using standard digital inferior colliculus (IC) technology. The four-stage AM detection system is a step toward a full-pitch detection system and based on known mammalian physiology. The system is operational and has been successfully realized in field programmable grid array (FPGA) technology. Details of the system architecture, its operating principles, and the design decisions necessary to realize successfully neuromorphic systems in digital technology are given.

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Accurate analog VLSI model of calcium-dependent bursting neurons

Cited by 3 publications

References 10 publications

Synchronous behavior of two coupled electronic neurons

Synchronous behavior of two coupled electronic neurons

Electronic circuit implementation of the chaotic Rulkov neuron model

Toward a digital neuromorphic pitch extraction system

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