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The operation of a neuronal circuit formed of electronic neurons based on Hindmarsh Rose neuron dynamics and first order chemical synapses is modeled.
Super high-resolution microscopy resolves neuron dynamics in the cerebral cortex of a living mouse.
Oscillatory neuron dynamics are also studied and design of the resonator and its characteristics are described as a neuromorphic oscillator.
On the one hand, the membrane potential, which is the physical variable associated with neuron dynamics, evolves with a continuous time.
The time-evolving states characterizing the neuron dynamics, including a filtered membrane potential and the dynamics of the gating variables 2.
In the literature, the level of non-linearity of the function F ranges from a linear (or almost-linear) system to spiking neuron dynamics [8], yet the structure of the system is universal.
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Furthermore, our approach is quantitative and allows the evaluation of the history-dependent processing capabilities of different single-neuron dynamics, and their dependence upon input statistics and neuronal parameters.
On the one hand, the membrane potential, which is the physical variable associated with neurons dynamics, evolves continuously.
This definition allows the quantitative assessment of the intrinsic memory for different single-neuron dynamics and input statistics.
This work shows that the information contained in single-neuron dynamics is not only that which is transmitted to other neurons in the network through spike-mediated synaptic transmission, but also includes the intrinsic subthreshold dynamics which affects the way a neuron responds to incoming stimuli.
We believe these empirical findings to be of considerable importance when evaluating the hypothesis that the Wang (2002) model explains single-neuron dynamics during value‐guided choice.
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Justyna Jupowicz-Kozak
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