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Network: Computation in Neural Systems Volume 2, 1991 - Issue 4
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LetterToEditor Article

Coupled circle maps as a tool to model synchronisation in neural networks

M Bauer Physikalisches Institut, Universitt Frankfurt, Robert-Mayer-Strasse 2-4, D-6000, Frankfurt 1, Federal Republic of Germany
&
W Martienssen Physikalisches Institut, Universitt Frankfurt, Robert-Mayer-Strasse 2-4, D-6000, Frankfurt 1, Federal Republic of Germany
Pages 345-351 | Published online: 09 Jul 2009

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Read on this site (1)

S. Coombes & S. H. Doole. (1996) Neuronal population dynamics with post inhibitory rebound:A reduction to piecewise linear discontinuous circle maps. Dynamics and Stability of Systems 11:3, pages 193-217.
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Articles from other publishers (5)

Hamid Abbasi. (2023) Cascade hyperchaotic fuzzy system (CHCFS): discussions on accuracy and interpretability. Evolving Systems.
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Yun Zhai, Jinghua Xiao & Zhigang Zheng. (2023) Synchronization–desynchronization transitions in networks of circle maps with sinusoidal coupling. Chinese Physics B 32:6, pages 060505.
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S. Coombes & S. H. Doole. (1996) Neuronal populations with reciprocal inhibition and rebound currents: Effects of synaptic and threshold noise. Physical Review E 54:4, pages 4054-4065.
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Hartmut Neven & Ad Aertsen. (1992) Rate coherence and event coherence in the visual cortex: a neuronal model of object recognition. Biological Cybernetics 67:4, pages 309-322.
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Paul C. Bressloff. (1992) Analysis of quantal synaptic noise in neural networks using iterated function systems. Physical Review A 45:10, pages 7549-7559.
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