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Published in 2018 at "NeuroImage"
DOI: 10.1016/j.neuroimage.2017.06.059
Abstract: ABSTRACT Perception and cognition in the brain are naturally characterized as spatiotemporal processes. Decisionāmaking, for example, depends on coordinated patterns of neural activity cascading across the brain, running in time from stimulus to response and…
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Keywords:
decision;
methodology;
encoding model;
perceptual decision ... See more keywords
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Published in 2018 at "eNeuro"
DOI: 10.1523/eneuro.0017-18.2018
Abstract: Abstract Human observers automatically extract temporal contingencies from the environment and predict the onset of future events. Temporal predictions are modeled by the hazard function, which describes the instantaneous probability for an event to occur…
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Keywords:
hazard;
encoding model;
forward encoding;
temporal hazard ... See more keywords
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Published in 2022 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2022.843988
Abstract: By integrating hierarchical feature modeling of auditory information using deep neural networks (DNNs), recent functional magnetic resonance imaging (fMRI) encoding studies have revealed the hierarchical neural auditory representation in the superior temporal gyrus (STG). Most…
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Keywords:
auditory representation;
auditory;
encoding model;
representation ... See more keywords
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Published in 2019 at "eLife"
DOI: 10.7554/elife.47012
Abstract: Descriptive statistical models of neural responses generally aim to characterize the mapping from stimuli to spike responses while ignoring biophysical details of the encoding process. Here, we introduce an alternative approach, the conductance-based encoding model…
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Keywords:
encoding model;
inferring synaptic;
model;
conductance based ... See more keywords