Complex Neuron Dynamics on the IBM TrueNorth Neurosynaptic System

Author(s):  
Maximilian P. R. Lohr ◽  
Christian Jarvers ◽  
Heiko Neumann
Keyword(s):  
Author(s):  
Saurabh Kumar Sharma ◽  
Dineshchandra Haobijam ◽  
Soibam Shyamchand Singh ◽  
Md. Zubbair Malik ◽  
R.K. Brojen Singh

1995 ◽  
Vol 50 (8) ◽  
pp. 718-726 ◽  
Author(s):  
Scott Rader ◽  
Diek W. Wheeler ◽  
W.C. Schieve ◽  
Pranab Das

Abstract Hübler's technique using aperiodic forces to drive nonlinear oscillators to resonance is analyzed. The oscillators being examined are effective neurons that model Hopfield neural networks. The method is shown to be valid under several different circumstances. It is verified through analysis of the power spectrum, force, resonance, and energy transfer of the system.


Author(s):  
Kaijun Wu ◽  
Tao Li ◽  
Mingjun Yan

Based on the study of the synchronization of two electric synapse-coupled Sherman neuron systems, this paper analyzes the rich discharge behavior of Sherman neurons through the peak-to-peak interval bifurcation diagram, which determines the parameter values for the study of the electrical synapse coupling Sherman neuron system synchronization. By using the synchronization difference and the correlation coefficient value, this paper analyzes the synchronous transition process of the two electrical synapse-coupled Sherman neuron systems with the change of coupling intensity and studies the bifurcation behavior of neurons in the two electrical synapse-coupled Sherman neuron systems. The experimental results show the transition process of two electrical synapse-coupled Sherman neurons from nonsynchronized, peak-independent cluster synchronization to fully synchronized. In addition, we study the synchronization process of the ring-connected electrical synapse-coupled Sherman neuron system. The experimental results show that the two electrical synapse-coupled Sherman neuron systems show a similar synchronous transition process.


2006 ◽  
Author(s):  
Alexey N. Pavlov ◽  
Dmitry V. Dumsky ◽  
Anatoly N. Tupitsyn ◽  
Olga N. Pavlova ◽  
Fivos Panetsos ◽  
...  

Author(s):  
Jennifer S. Goldman ◽  
Núria Tort-Colet ◽  
Matteo di Volo ◽  
Eduarda Susin ◽  
Jules Bouté ◽  
...  

2011 ◽  
Vol 14 (2) ◽  
pp. 208-216 ◽  
Author(s):  
Katherine I Nagel ◽  
Rachel I Wilson

Soft Matter ◽  
2019 ◽  
Vol 15 (48) ◽  
pp. 9931-9941
Author(s):  
Joao Marcos Vensi Basso ◽  
Ilya Yurchenko ◽  
Matthew R. Wiens ◽  
Cristian Staii

We quantify neuronal growth on substrates with controlled geometries and present a theoretical approach that describes the motion of axons.


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