Comparing the dynamics of periodically forced lasers and neurons
| Autor: | Cristina Masoller, C. Quintero-Quiroz, Jordi Tiana-Alsina |
|---|---|
| Přispěvatelé: | Universitat Politècnica de Catalunya. Departament de Física, Universitat Politècnica de Catalunya. DONLL - Dinàmica no Lineal, Òptica no Lineal i Làsers |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Physics
Semiconductor lasers Excitability Sèries temporals -- Anàlisi Quantitative Biology::Neurons and Cognition Física [Àrees temàtiques de la UPC] Dynamics (mechanics) General Physics and Astronomy Physics::Optics Neuronal dynamics Time series analysis Laser law.invention Laser dynamics law Time-series analysis Làsers de semiconductors Statistical physics |
| Zdroj: | Recercat. Dipósit de la Recerca de Catalunya instname UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) |
| Popis: | Neuromorphic photonics is a new paradigm for ultra-fast neuro-inspired optical computing that can revolutionize information processing and artificial intelligence systems. To implement practical photonic neural networks is crucial to identify low-cost energy-efficient laser systems that can mimic neuronal activity. Here we study experimentally the spiking dynamics of a semiconductor laser with optical feedback under periodic modulation of the pump current, and compare with the dynamics of a neuron that is simulated with the stochastic FitzHugh–Nagumo model, with an applied periodic signal whose waveform is the same as that used to modulate the laser current. Sinusoidal and pulse-down waveforms are tested. We find that the laser response and the neuronal response to the periodic forcing, quantified in terms of the variation of the spike rate with the amplitude and with the frequency of the forcing signal, is qualitatively similar. We also compare the laser and neuron dynamics using symbolic time series analysis. The characterization of the statistical properties of the relative timing of the spikes in terms of ordinal patterns unveils similarities, and also some differences. Our results indicate that semiconductor lasers with optical feedback can be used as low-cost, energy-efficient photonic neurons, the building blocks of all-optical signal processing systems; however, the length of the external cavity prevents optical feedback on the chip. |
| Databáze: | OpenAIRE |
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