2008
DOI: 10.1155/2008/108969
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Spontaneous Plasticity of Multineuronal Activity Patterns in Activated Hippocampal Networks

Abstract: Using functional multineuron imaging with single-cell resolution, we examined how hippocampal networks by themselves change the spatiotemporal patterns of spontaneous activity during the course of emitting spontaneous activity. When extracellular ionic concentrations were changed to those that mimicked in vivo conditions, spontaneous activity was increased in active cell number and activity frequency. When ionic compositions were restored to the control conditions, the activity level returned to baseline, but … Show more

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Cited by 14 publications
(12 citation statements)
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“…EC therefore receives input from all sensory modalities and is believed to play a greater role in the processing and integration of contextual information than of object information (Suzuki et al, 1997). EC does, however, receive object information from PrC and passes that information along to the hippocampus; most generally, the EC is considered to mediate much of the informational input to the hippocampus (Canto et al, 2008). Relative to other regions of MTL, less is known about the exact function of EC, but we can offer several possibilities.…”
Section: The Creation and Retrieval Of Unitizationsmentioning
confidence: 99%
“…EC therefore receives input from all sensory modalities and is believed to play a greater role in the processing and integration of contextual information than of object information (Suzuki et al, 1997). EC does, however, receive object information from PrC and passes that information along to the hippocampus; most generally, the EC is considered to mediate much of the informational input to the hippocampus (Canto et al, 2008). Relative to other regions of MTL, less is known about the exact function of EC, but we can offer several possibilities.…”
Section: The Creation and Retrieval Of Unitizationsmentioning
confidence: 99%
“…SI was normalized to the highest (SI max ) and the lowest (SI min ) value, which were obtained by rearranging all events in the dataset. 12) We then defined the "asynchrony index" as (SIϪ SI min )/(SI max ϪSI min ). This normalization is required to compare data across specimens with varying numbers of neurons.…”
Section: Organotypic Hippocampal Slice Cultures and Recording Solutionsmentioning
confidence: 99%
“…12,15) But for this particular state we focused on, there is a possibility that we may have overlooked a slight difference in synchrony that this parameter was not sensitive enough to capture.…”
Section: Asynchronous Neuronal Activity Observed Under Ogdmentioning
confidence: 99%
“…In past years, we have exploited this technique and analyzed neural circuit dynamics. 20,[22][23][24][25][26][27][28][29][30] In this review, we focus on recent applications of fMCI and technical advancements in optics and engineering which are supporting further development of the fMCI.…”
Section: Introductionmentioning
confidence: 99%