Detecting neuronal activity changes using an interspike interval algorithm compared with using visual inspection

Liu, Yu; Denton, John M.; Frykberg, Brett; Nelson, Randall J.

doi:10.1016/j.jneumeth.2005.12.019

Cited by 1 publication

(1 citation statement)

References 13 publications

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“…A number of heuristics have been suggested. For example, Liu et al [53] define a neural activity change (NAC) as the point at which there occurs an ISI greater than the mean ISI of the spike train by three standard deviations. Other methods have been suggested [65], and in a review of these methods, Churchward et al [15] found that simple visual inspection of spike train data is as reliable as any of the methods proposed to detect changes in neuronal discharge patterns.…”

Section: Resultsmentioning

confidence: 99%

Evidence of multistability in a realistic computer simulation of hippocampus subfield CA1

Siekmeier¹

2009

Behavioural Brain Research

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The manner in which hippocampus processes neural signals is thought to be central to the memory encoding process. A theoretically-oriented literature has suggested that this is carried out via "attractors" or distinctive spatio-temporal patterns of activity. However, these ideas have not been thoroughly investigated using computational models featuring both realistic single-cell physiology and detailed cell-to-cell connectivity. Here we present a 452 cell simulation based on Traub et al's pyramidal cell [81] and interneuron [83] models, incorporating patterns of synaptic connectivity based on an extensive review of the neuroanatomic literature. When stimulated with a one second physiologically realistic input, our simulated tissue shows the ability to hold activity on-line for several seconds; furthermore, its spiking activity, as measured by frequency and interspike interval (ISI) distributions, resembles that of in vivo hippocampus. An interesting emergent property of the system is its tendency to transition from stable state to stable state, a behavior consistent with recent experimental findings [73]. Inspection of spike trains and simulated blockade of K AHP channels suggest that this is mediated by spike frequency adaptation. This finding, in conjunction with studies showing that apamin, a K AHP channel blocker, enhances the memory consolidation process in laboratory animals, suggests the formation of stable attractor states is central to the process by which memories are encoded. Ways that this methodology could shed light on the etiology of mental illness, such as schizophrenia, are discussed.

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Section: Resultsmentioning

confidence: 99%

Evidence of multistability in a realistic computer simulation of hippocampus subfield CA1

Siekmeier¹

2009

Behavioural Brain Research

View full text Add to dashboard Cite

show abstract

Detecting neuronal activity changes using an interspike interval algorithm compared with using visual inspection

Cited by 1 publication

References 13 publications

Evidence of multistability in a realistic computer simulation of hippocampus subfield CA1

Evidence of multistability in a realistic computer simulation of hippocampus subfield CA1

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