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pro vyhledávání: '"Wessel, Ralf"'
Learning synaptic weights of spiking neural network (SNN) models that can reproduce target spike trains from provided neural firing data is a central problem in computational neuroscience and spike-based computing. The discovery of the optimal weight
Externí odkaz:
http://arxiv.org/abs/1810.03199
A rigorous understanding of brain dynamics and function requires a conceptual bridge between multiple levels of organization, including neural spiking and network-level population activity. Mounting evidence suggests that neural networks of cerebral
Externí odkaz:
http://arxiv.org/abs/1610.01217
Akademický článek
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Publikováno v:
World Journal of Condensed Matter Physics 1, 88-96 (2011)
We consider a Kuramoto model for the dynamics of an excitable system consisting of two coupled active rotators. Depending on both the coupling strength and the noise, the two rotators can be in a synchronized or desynchronized state. The synchronized
Externí odkaz:
http://arxiv.org/abs/0802.1105
Autor:
Meyer, Ulrike, Shao, Jing, Chakrabarty, Saurish, Brandt, Sebastian F., Luksch, Harald, Wessel, Ralf
We consider the effect of distributed delays in neural feedback systems. The avian optic tectum is reciprocally connected with the nucleus isthmi. Extracellular stimulation combined with intracellular recordings reveal a range of signal delays from 4
Externí odkaz:
http://arxiv.org/abs/0712.0036
Autor:
Brandt, Sebastian F., Wessel, Ralf
Publikováno v:
Biol. Cybern. (2007) 97:221-228
We consider the effects of temporal delay in a neural feedback system with excitation and inhibition. The topology of our model system reflects the anatomy of the avian isthmic circuitry, a feedback structure found in all classes of vertebrates. We s
Externí odkaz:
http://arxiv.org/abs/0709.2684
Publikováno v:
EPL 79, 38001 (2007)
We consider the effect of asymmetric temporal delays in a system of two coupled Hopfield neurons. For couplings of opposite signs, a limit cycle emerges via a supercritical Hopf bifurcation when the sum of the delays reaches a critical value. We show
Externí odkaz:
http://arxiv.org/abs/physics/0701225
Publikováno v:
Phys. Rev. E 74, 036201/1-14 (2006)
We consider a model system of two coupled Hopfield neurons, which is described by delay differential equations taking into account the finite signal propagation and processing times. When the delay exceeds a critical value, a limit cycle emerges via
Externí odkaz:
http://arxiv.org/abs/physics/0603077
The effects of disorder in external forces on the dynamical behavior of coupled nonlinear oscillator networks are studied. When driven synchronously, i.e., all driving forces have the same phase, the networks display chaotic dynamics. We show that ra
Externí odkaz:
http://arxiv.org/abs/nlin/0512064