Tunable vertical-cavity surface-emitting laser with feedback to implement a pulsed neural model. 1. Principles and experimental demonstration.
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[1] Richard Hans Robert Hahnloser,et al. Digital selection and analogue amplification coexist in a cortex-inspired silicon circuit , 2000, Nature.
[2] Manuel G. Velarde,et al. A Simple Generalized Excitability Model Mimicking Salient Features of Neuron Dynamics , 2000 .
[3] Chaos in a feedback Fabry-Perot interferometer , 1994 .
[4] Dean V. Buonomano,et al. A Neural Network Model of Temporal Code Generation and Position-Invariant Pattern Recognition , 1999, Neural Computation.
[5] Reinhard Eckhorn,et al. Feature Linking via Synchronization among Distributed Assemblies: Simulations of Results from Cat Visual Cortex , 1990, Neural Computation.
[6] S. Kang,et al. A simple rate-equation-based thermal VCSEL model , 1999 .
[7] Wolfgang Maass,et al. Fast Sigmoidal Networks via Spiking Neurons , 1997, Neural Computation.
[8] D. Psaltis,et al. Holography in artificial neural networks , 1990, Nature.
[9] Carsten Peterson,et al. Optoelectronic implementation of multilayer neural networks in a single photorefractive crystal , 1990 .
[10] D. Gauthier,et al. High-speed chaos in an optical feedback system with flexible timescales , 2003, IEEE Journal of Quantum Electronics.
[11] D. Brady,et al. Adaptive optical networks using photorefractive crystals. , 1988, Applied optics.
[12] D Psaltis,et al. Optical information processing based on an associative-memory model of neural nets with thresholding and feedback. , 1985, Optics letters.
[13] J. J. Hopfield,et al. Pattern recognition computation using action potential timing for stimulus representation , 1995, Nature.
[14] S. Yoshizawa,et al. An Active Pulse Transmission Line Simulating Nerve Axon , 1962, Proceedings of the IRE.
[15] Rufin van Rullen,et al. Rate Coding Versus Temporal Order Coding: What the Retinal Ganglion Cells Tell the Visual Cortex , 2001, Neural Computation.
[16] J N Lee,et al. Optical implementations of associative networks with versatile adaptive learning capabilities. , 1987, Applied optics.
[17] Jörgen Bengtsson,et al. A comprehensive model for the modal dynamics of vertical-cavity surface-emitting lasers , 2002 .
[18] J. L. Johnson,et al. Observation of periodic waves in a pulse-coupled neural network. , 1993, Optics letters.
[19] Shuo Tang,et al. Chaotic pulsing and quasi-periodic route to chaos in a semiconductor laser with delayed opto-electronic feedback , 2001 .
[20] Wlodzimierz Nakwaski,et al. Thermal aspects of efficient operation of vertical-cavity surface-emitting lasers , 1996 .
[21] G Roosen,et al. High-capacity photorefractive neural network implementing a kohonen topological map. , 2001, Applied optics.
[22] H. Markram,et al. The neural code between neocortical pyramidal neurons depends on neurotransmitter release probability. , 1997, Proceedings of the National Academy of Sciences of the United States of America.
[23] H. Porte,et al. Bistability in wavelength using an electro-optically tuned dye laser , 1984 .
[24] K Wagner,et al. Multilayer optical learning networks. , 1987, Applied optics.
[25] Michael Recce. Encoding information in neuronal activity , 1999 .
[26] D Psaltis,et al. Optical implementation of the Hopfield model. , 1985, Applied optics.
[27] Alan F. Murray,et al. Pulse-based computation in VLSI neural networks , 1999 .
[28] Laurent Larger,et al. Chaos in wavelength with a feedback tunable laser diode , 1998 .
[29] Bernabe Linares-Barranco,et al. A CMOS Implementation of Fitzhugh-Nagumo Neuron Model , 1990, ESSCIRC '90: Sixteenth European Solid-State Circuits Conference.
[30] Indu Saxena,et al. Discrete All-Positive Multilayer Perceptrons for Optical Implementation , 1998 .
[31] Sorin Draghici,et al. On the capabilities of neural networks using limited precision weights , 2002, Neural Networks.
[32] D Z Anderson,et al. Acoustic signal recognition with a photorefractive time-delay neural network. , 1994, Optics letters.
[33] Kelvin Wagner,et al. Optical competitive learning with, VLSI/liquid-crystal winner-take-all modulators. , 1993, Applied optics.
[34] Ingo Fischer,et al. Transverse modes in thermally detuned oxide confined vertical cavity surface emitting lasers , 2001 .
[35] Rahul Sarpeshkar,et al. Scalable Hybrid Computation with Spikes , 2002, Neural Computation.
[36] C. Morris,et al. Voltage oscillations in the barnacle giant muscle fiber. , 1981, Biophysical journal.
[37] H. de Waardt,et al. Optical neuron by use of a laser diode with injection seeding and external optical feedback , 2000, IEEE Trans. Neural Networks Learn. Syst..
[38] G. Ermentrout,et al. Analysis of neural excitability and oscillations , 1989 .
[39] Paulo E X Silveira,et al. Optical finite impulse response neural networks. , 2002, Applied optics.
[40] L. Abbott,et al. Model neurons: From Hodgkin-Huxley to hopfield , 1990 .