Analog circuits emulating biological neurons in real-time experiments

Laflaquiere, A.; Masson, Sylvie Le; Dupeyron, D.; Masson, Gwendal Le

doi:10.1109/iembs.1997.758747

Cited by 5 publications

(1 citation statement)

References 6 publications

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“…A promising approach to significantly improve on the computational power of today's computers typically based on von‐Neumann architectures is the modeling of real neuronal networks by electrical circuits in the context of bio‐inspired computing and neuromorphic engineering. This is because the design of close‐to‐biology circuits with the aim to mimic measured neuronal activity of neurons 1–3 might allow us to interpret the principles behind the energy‐efficiency and information processing speed of for example, the human brain from a circuit theoretical point of view. Hence, this can enable the derivation of novel design principles for electrical circuits.…”

Section: Introductionmentioning

confidence: 99%

Wave digital model of calcium‐imaging‐based neuronal activity of mice

Jenderny

Ochs

2022

Int J Numerical Modelling

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The modeling of real neuronal networks by close‐to‐biology circuits can contribute to a better understanding of these networks from a circuit theoretical point of view. This can potentially lead to novel design principles for electrical circuits. This modeling process involves the mimicking of real measured neuronal activity, which is often only available as calcium imaging recordings. In this work, we develop a wave digital model as a circuit emulator capable of mimicking the calcium‐imaging‐based neuronal activity of mouse neurons. For this purpose, we design an electrical reference circuit of a mouse neuron based on an extended Morris–Lecar model in combination with an RC circuit. The circuit parameters are determined by a parameter scaling without requiring any parameter optimization. The input signal of the resulting wave digital model is designed based on estimating spike times with the spike inference software MLspike. Wave digital emulations show the successful mimicking of calcium‐based neuronal activity for mouse neurons located in the visual, motor and somatosensory cortex as well the possibility to predict ion currents occurring during this activity. This proves the suitability of the reference circuit as a model for the considered types of mouse neurons. It also implies that the circuit can act as an observer for electrical signals of mouse neurons. This is achieved despite the lack of electrophysiological measurements in most cases. Hence, the proposed wave digital model can be seen as an important step toward being able to verify close‐to‐biology electrical circuits as a model of real neuronal networks without electrophysiology.

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Section: Introductionmentioning

confidence: 99%

Wave digital model of calcium‐imaging‐based neuronal activity of mice

Jenderny

Ochs

2022

Int J Numerical Modelling

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A Design Method for Analog and Digital Silicon Neurons ???-Mathematical-Model-Based Method-

Kohno¹,

Aihara²,

Ricciardi³

et al. 2008

AIP Conference Proceedings

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Analog circuits for modeling biological neural networks: design and applications

Masson

Laflaquiere

Bal

et al. 1999

IEEE Trans. Biomed. Eng.

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Computational neuroscience is emerging as a new approach in biological neural networks studies. In an attempt to contribute to this field, we present here a modeling work based on the implementation of biological neurons using specific analog integrated circuits. We first describe the mathematical basis of such models, then present analog emulations of different neurons. Each model is compared to its biological real counterpart as well as its numerical computation. Finally, we demonstrate the possible use of these analog models to interact dynamically with real cells through artificial synapses within hybrid networks. This method is currently used to explore neural networks dynamics.

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Analog circuits emulating biological neurons in real-time experiments

Cited by 5 publications

References 6 publications

Wave digital model of calcium‐imaging‐based neuronal activity of mice

Wave digital model of calcium‐imaging‐based neuronal activity of mice

A Design Method for Analog and Digital Silicon Neurons ???-Mathematical-Model-Based Method-

Analog circuits for modeling biological neural networks: design and applications

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