Publications by authors named "P Quaglio"

Purpose: PALB2 variants have been scarcely described in Argentinian and Latin-American reports. In this study, we describe molecular and clinical characteristics of PALB2 mutations found in multi-gene panels (MP) from breast-ovarian cancer (BOC) families in different institutions from Argentina.

Methods: We retrospectively identified PALB2 pathogenic (PV) and likely pathogenic (LPV) variants from a cohort of 1905 MP results, provided by one local lab (Heritas) and SITHER (Hereditary Tumor Information System) public database.

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The Spike Pattern Detection and Evaluation (SPADE) analysis is a method to find reoccurring spike patterns in parallel spike train data, and to determine their statistical significance. Here we introduce an extension of the original statistical testing procedure which explicitly accounts for the temporal duration of the patterns. The extension improves the performance in the presence of patterns with different durations, as here demonstrated by application to various synthetic data.

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Computational neuroscience relies on simulations of neural network models to bridge the gap between the theory of neural networks and the experimentally observed activity dynamics in the brain. The rigorous validation of simulation results against reference data is thus an indispensable part of any simulation workflow. Moreover, the availability of different simulation environments and levels of model description require also validation of model implementations against each other to evaluate their equivalence.

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Temporally, precise correlations between simultaneously recorded neurons have been interpreted as signatures of cell assemblies, i.e., groups of neurons that form processing units.

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Article Synopsis
  • The text discusses the importance of spatio-temporal patterns (STPs) in the activation of neuron cell assemblies and their role in information processing in the cerebral cortex.
  • Researchers present a new method, named SPADE analysis, to improve the detection of repeating STPs in large-scale parallel spike train recordings, addressing limitations of existing techniques.
  • Two distinct statistical approaches for evaluating the significance of detected patterns are introduced, with one showing superior performance despite a higher computational requirement.*
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