Neural encoding of sensory and behavioral complexity in the auditory cortex
Sign Up to like & getrecommendations! Published in 2018 at "Current Opinion in Neurobiology"
DOI: 10.1016/j.conb.2018.04.002
Abstract: Converging evidence now supports the idea that auditory cortex is an important step for the emergence of auditory percepts. Recent studies have extended the list of complex, nonlinear sound features coded by cortical neurons. Moreover,… read more here.
Keywords: sensory behavioral; auditory; complexity; encoding sensory ... See more keywords
Neural encoding of spectro-temporal cues at slow and near speech-rate in cochlear implant users
Sign Up to like & getrecommendations! Published in 2021 at "Hearing Research"
DOI: 10.1016/j.heares.2020.108160
Abstract: The ability to process rapid modulations in the spectro-temporal structure of sounds is critical for speech comprehension. For users of cochlear implants (CIs), spectral cues in speech are conveyed by differential stimulation of electrode contacts… read more here.
Keywords: spectro temporal; temporal cues; speech; rate ... See more keywords
Asymmetrical cross-modal influence on neural encoding of auditory and visual features in natural scenes
Sign Up to like & getrecommendations! Published in 2022 at "NeuroImage"
DOI: 10.1016/j.neuroimage.2022.119182
Abstract: Natural scenes contain multi-modal information, which is integrated to form a coherent perception. Previous studies have demonstrated that cross-modal information can modulate neural encoding of low-level sensory features. These studies, however, mostly focus on the… read more here.
Keywords: visual features; natural scenes; cross modal; neural encoding ... See more keywords
Neural encoding of perceived patch value during competitive and hazardous virtual foraging
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DOI: 10.1038/s41467-021-25816-9
Abstract: Natural observations suggest that in safe environments, organisms avoid competition to maximize gain, while in hazardous environments the most effective survival strategy is to congregate with competition to reduce the likelihood of predatory attack. We… read more here.
Keywords: virtual foraging; perceived patch; patch value; competition ... See more keywords
Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision
Sign Up to like & getrecommendations! Published in 2018 at "Cerebral Cortex"
DOI: 10.1093/cercor/bhx268
Abstract: Convolutional neural network (CNN) driven by image recognition has been shown to be able to explain cortical responses to static pictures at ventral-stream areas. Here, we further showed that such CNN could reliably predict and… read more here.
Keywords: encoding decoding; decoding deep; deep learning; natural vision ... See more keywords
Neural encoding of novel social networks: evidence that perceivers prioritize others’ centrality
Sign Up to like & getrecommendations! Published in 2022 at "Social Cognitive and Affective Neuroscience"
DOI: 10.1093/scan/nsac059
Abstract: Abstract Knowledge of someone’s friendships can powerfully impact how one interacts with them. Previous research suggests that information about others’ real-world social network positions—e.g. how well-connected they are (centrality), ‘degrees of separation’ (relative social distance)—is… read more here.
Keywords: information; social network; network; novel social ... See more keywords
Neural Encoding and Decoding With Distributed Sentence Representations
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2020.3027595
Abstract: Building computational models to account for the cortical representation of language plays an important role in understanding the human linguistic system. Recent progress in distributed semantic models (DSMs), especially transformer-based methods, has driven advances in… read more here.
Keywords: encoding decoding; sentence; neural encoding; sentence representations ... See more keywords
Inferring synaptic inputs from spikes with a conductance-based neural encoding model
Sign Up to like & getrecommendations! 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… read more here.
Keywords: encoding model; inferring synaptic; model; conductance based ... See more keywords