=
Note: Conversion is based on the latest values and formulas.
Utilization of Time Series Tools in Life-sciences and Neuroscience ... In the last decade, the developments in Neuroscience involve a considerable increase in the size, dimensionality, and complexity of neural data. 2, 3 Much of these data are multi-dimensional, …
Using deep learning to quantify neuronal activation from single … 26 Jan 2024 · Neuronal activity is associated with transcriptional changes. Here, the authors present a deep learning model that integrates single cell transcriptomic signals to estimate …
Trial-by-trial detection of cognitive events in neural time-series 16 Dec 2024 · Abstract. Measuring the time-course of neural events that make up cognitive processing is crucial to understand the relationship between brain and behavior. To this aim, …
Time Series Modeling Of Neuroscience Data Tohru Ozaki .pdf Time Series Modeling Of Neuroscience Data Tohru Ozaki: Time Series Modeling of Neuroscience Data Tohru Ozaki,2012-01-26 Recent advances in brain science measurement technology …
Reconstructing computational system dynamics from neural data … 4 Oct 2023 · Next, we describe some of the formal requirements that need to be met for a DS model to constitute an accurate representation of the underlying dynamics derived directly …
Using the General Linear Model to Improve Performance in fNIRS Single ... 18 Feb 2020 · We show that the GLM-based approach provides better single trial estimates of brain activity, offers a new, more comprehensive feature type, and can significantly improve …
Reunion Neuroscience Announces Publication of RE104 Phase 1 Data … 18 hours ago · In this Phase 1 study, a single subcutaneous dose of 5mg up to 40mg RE104 was administered to healthy adult volunteers. Acute psychoactive experiences were observed with …
Neural data science: accelerating the experiment-analysis-theory … 1 Jun 2018 · These trends are clear in a broad array of subfields of modern neuroscience; this review focuses on recent advances in methods for analyzing neural time-series data with …
Dynamic models of large-scale brain activity | Nature Neuroscience 23 Feb 2017 · In retrospect, the initial application of measures of chaotic dynamics to time series data may have reflected a confirmation bias—an implicit objective to show that empirical data …
Neural data science: accelerating the experiment-analysis-theory … 1 Jun 2018 · These trends are clear in a broad array of subfields of modern neuroscience; this review focuses on recent advances in methods for analyzing neural time-series data with …