Chaotic and non-chaotic phases in experimental responses of a single neuron

Abstract

Consistency and predictability of brain functionalities depend on reproducible activity of a single neuron. We identify a reproducible non-chaotic neuronal phase where deviations between concave response latency profiles of a single neuron do not increase with the number of stimulations. A chaotic neuronal phase emerges at a transition to convex latency profiles which diverge exponentially, indicating irreproducible response timings. Our findings are supported by a quantitative mathematical framework and found robust to periodic and random stimulation patterns. In addition, these results put a bound on the neuronal temporal resolution which can be enhanced below a millisecond using neuronal chains.

arXiv comment6 pages, 4 figures

References in corpus (2)

• Sudden synchrony leaps accompanied by frequency multiplications in neuronal activity
• Error correction and fast detectors implemented by ultra-fast neuronal plasticity

Cited by in corpus (4)

• Neuronal Response Impedance Mechanism Implementing Cooperative Networks with Low Firing Rates and Microseconds Precision
• Broadband Macroscopic Cortical Oscillations Emerge from Intrinsic Neuronal Response Failures
• Freezing chaos without synaptic plasticity
• Synaptic plasticity alters the nature of chaos transition in neural networks