Emulation of Astrocyte Induced Neural Phase Synchrony in Spin-Orbit Torque Oscillator Neurons

Garg, Umang; Yang, Kezhou; Sengupta, Abhronil

doi:10.48550/arxiv.2007.00776

Cited by 1 publication

(1 citation statement)

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“…(ii) In parallel, there is a long history of implementing astrocyte functionality in analog and digital CMOS implementations [14]- [20]. More recently, emerging physics in post-CMOS technologies like spintronics are also being leveraged to mimic glia functionalities at a one-to-one level [21]. However, the primary focus has been on a brain-emulation perspective, i.e.…”

Section: Related Work and Main Contributionsmentioning

confidence: 99%

On the Self-Repair Role of Astrocytes in STDP Enabled Unsupervised SNNs

Rastogi¹,

Lu²,

Islam³

et al. 2020

Preprint

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Neuromorphic computing has recently emerged as a disruptive computational paradigm that attempts to emulate various facets of the underlying structure and functionalities of the brain in the algorithm and hardware design of next-generation machine learning platforms. This work goes beyond the focus of current neuromorphic computing architectures on computational models for neuron and synapse to examine other computational units of the biological brain that might contribute to cognition and especially self-repair. We draw inspiration and insights from computational neuroscience regarding functionalities of glial cells and explore their role in the fault-tolerant capacity of Spiking Neural Networks (SNNs) trained in an unsupervised fashion using Spike-Timing Dependent Plasticity (STDP). We characterize the degree of self-repair that can be enabled in such networks with varying degree of faults ranging from 50% -90% and evaluate our proposal on the MNIST and Fashion-MNIST datasets.

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Section: Related Work and Main Contributionsmentioning

confidence: 99%