KEYWORDS: Signal processing, Neurons, Brain, Signal detection, Electrodes, In vitro testing, Action potentials, Photonics, Data processing, Binary data
The neuronal network cultured in virto used as an important tool for study have been realized by more and more
researchers owing to its non-invasive nature. But till now, there isn't a parameter that can conveniently describes the
changing states of neuronal network from the whole. In this paper, the synchrony calculation acted as the reactive results
of the neuronal network to electrical stimulation (used for learning training) or bicuculine is analyzed and the variety of
the synchrony of the network is tried as an important value to depict the diversification of the neuronal network. These
experimental results processed in this way are given out in the end of this paper.
Many mammalian neuronal networks, such as Central Nervous System (CNS), fire single spikes and complex spike burst. In fact, the conditions for triggering burst are not well understood. In the paper multi-electrode array (MEA) is used to record the spontaneous electrophysiology activity of cultured rat hippocampal neuronal networks for long-term. The transition from single spikes to burst is observed on networks that is cultured about 3 weeks and quickly fire before burst activity. The firing rate during burst is lower than that before burst, but the difference of inter spike intervals (ISIs) between the two firing patterns is not distinctness. Moreover, the electrical activities on neighboring electrodes show strong synchrony during burst activity. In a word, the generation of burst requires that network has a sufficient level of excitation as well as the balance by synaptic inhibition.
Learning a new behavioral task is an exploration process that involves the formation and modulation of sets of associations between stimuli and network's responses. The dissociated rat hippocampal neurons were cultured on a multi-electrode array (MEA) substrate. So the electrophysiological activity can be extracellularly recorded, the response of network dynamics induced by electrical pulse stimulation can be analyzed using the recorded data. The test stimuli patterns were different interval twice stimuli. Each stimulus is voltage-controlled pulses (100μs at +0.6V, followed by 100μs at -0.6V). With the intervals between two stimuli decreasing such as a series of 100ms, 50ms, 20ms and 10ms, the response duration of cultured neuronal network increased. The firing rate of neuronal network was affected by the stimuli patterns: compare with the spontaneous firings of neurons, after the quick electrical stimulation (10ms interval stimuli pattern), the firing rate of neuronal network increases. On the contrary, the slow electrical stimulation (100ms interval stimuli pattern) depresses the firing rate of neuronal network.
KEYWORDS: Neurons, Signal processing, Signal detection, Brain, Electrodes, In vitro testing, Action potentials, Biomedical optics, Photonics, In vivo imaging
The neuronal network cultured in virto used as a important tool for brain study have been realized by more and more people owing to its non-invasive nature. But till now, there isn't a parameter that conveniently describes the changing states of neuronal network from the whole. In this paper, the synchrony calculation acted as the reactive results of the neuronal network to electrical stimulation (used for learning training) or bicuculine is analyzed and the variety of the synchrony of the network is tried as a important value to depict the diversification of the neuronal network. These experimental results processed in this way were given out in the end of the paper.
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