TY - JOUR
T1 - Noise induced amplification of sub-threshold pulses in multi-thread excitable semiconductor ‘neurons’
AU - Samardak, A
AU - Nogaret, Alain
AU - Janson, N B
AU - Balanov, A G
AU - Farrer, I
AU - Ritchie, D A
N1 - 14th International Conference on Modulated Semiconductor Structures (MSS14).
PY - 2010/9
Y1 - 2010/9
N2 - We report on the transmission of electrical pulses through a semiconductor structure which emulates biological neurons. The ‘neuron’ emits bursts of electrical spikes whose coherence we study as a function of the amplitude and frequency of a sine wave stimulus and noise. Noise is found to enhance the transmission of pulses below the firing threshold of the neuron. We demonstrate stochastic resonance when the power of the output signal passes through a maximum at an optimum noise value. Under appropriate conditions, we observe coherence resonance and stochastic synchronization. Data are quantitatively explained by modelling the FitzHugh–Nagumo equations derived from the electrical equivalent circuit of the soma. We have therefore demonstrated a physically realistic neuron structure that provides first principles feedback on mathematical models and that is well suited to building arborescent networks of pulsing neurons.
AB - We report on the transmission of electrical pulses through a semiconductor structure which emulates biological neurons. The ‘neuron’ emits bursts of electrical spikes whose coherence we study as a function of the amplitude and frequency of a sine wave stimulus and noise. Noise is found to enhance the transmission of pulses below the firing threshold of the neuron. We demonstrate stochastic resonance when the power of the output signal passes through a maximum at an optimum noise value. Under appropriate conditions, we observe coherence resonance and stochastic synchronization. Data are quantitatively explained by modelling the FitzHugh–Nagumo equations derived from the electrical equivalent circuit of the soma. We have therefore demonstrated a physically realistic neuron structure that provides first principles feedback on mathematical models and that is well suited to building arborescent networks of pulsing neurons.
UR - http://www.scopus.com/inward/record.url?scp=77957986443&partnerID=8YFLogxK
UR - http://dx.doi.org/10.1016/j.physe.2009.12.017
U2 - 10.1016/j.physe.2009.12.017
DO - 10.1016/j.physe.2009.12.017
M3 - Article
SN - 1386-9477
VL - 42
SP - 2853
EP - 2856
JO - Physica E-Low-Dimensional Systems & Nanostructures
JF - Physica E-Low-Dimensional Systems & Nanostructures
IS - 10
T2 - 18th International Conference on Electronic Properties of Two-Dimensional Systems
Y2 - 19 July 2009 through 24 July 2009
ER -