Silicon Modeling of the Mihalaş–Niebur Neuron

Folowosele, Fopefolu; Hamilton, Tara Julia; Etienne‐Cummings, Ralph

doi:10.1109/tnn.2011.2167020

Cited by 33 publications

(12 citation statements)

References 35 publications

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“…It can also be implemented in hardware. In fact, there are already on-chip implementations of the generalized integrateand-fire model that we use in this model (see Folowosele et al 2011;van Schaik 2010). The model can be used to provide feedback in upper limb neuroprostheses by replicating the peripheral nerve activity that would be elicited in the native hand (Kim et al 2009).…”

Section: Discussionmentioning

confidence: 99%

A simple model of mechanotransduction in primate glabrous skin

Dong

Mihalaş

Kim

et al. 2013

Journal of Neurophysiology

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Tactile stimulation of the hand evokes highly precise and repeatable patterns of activity in mechanoreceptive afferents; the strength (i.e., firing rate) and timing of these responses have been shown to convey stimulus information. To achieve an understanding of the mechanisms underlying the representation of tactile stimuli in the nerve, we developed a two-stage computational model consisting of a nonlinear mechanical transduction stage followed by a generalized integrate-and-fire mechanism. The model improves upon a recently published counterpart in two important ways. First, complexity is dramatically reduced (at least one order of magnitude fewer parameters). Second, the model comprises a saturating nonlinearity and therefore can be applied to a much wider range of stimuli. We show that both the rate and timing of afferent responses are predicted with remarkable precision and that observed adaptation patterns and threshold behavior are well captured. We conclude that the responses of mechanoreceptive afferents can be understood using a very parsimonious mechanistic model, which can then be used to accurately simulate the responses of afferent populations.

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Section: Discussionmentioning

confidence: 99%

A simple model of mechanotransduction in primate glabrous skin

Dong

Mihalaş

Kim

et al. 2013

Journal of Neurophysiology

View full text Add to dashboard Cite

show abstract

“…However, the device models and subsequent neuron circuit behavior were also verified through fabrication and testing [27]. Current work involves design, simulation, fabrication, and testing of various CMOS I&F neuron designs [28]- [31]. These circuits will be more compact, robust, tunable, and require less power than those using nc-Si TFTs.…”

Section: Device Modelsmentioning

confidence: 99%