Search Results - "Carlson, Thomas A"
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Decoding Dynamic Brain Patterns from Evoked Responses: A Tutorial on Multivariate Pattern Analysis Applied to Time Series Neuroimaging Data
Published in Journal of cognitive neuroscience (01-04-2017)“…Multivariate pattern analysis (MVPA) or brain decoding methods have become standard practice in analyzing fMRI data. Although decoding methods have been…”
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Decoding the time-course of object recognition in the human brain: From visual features to categorical decisions
Published in Neuropsychologia (01-10-2017)“…Visual object recognition is a complex, dynamic process. Multivariate pattern analysis methods, such as decoding, have begun to reveal how the brain processes…”
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An experimental study on the effect of ultrasonication on viscosity and heat transfer performance of multi-wall carbon nanotube-based aqueous nanofluids
Published in International journal of heat and mass transfer (01-10-2009)“…Four samples of 1 wt% multi-walled carbon nanotube-based (MWCNT) aqueous nanofluids prepared via ultrasonication were thermally characterized. Direct imaging…”
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Representational dynamics of object recognition: Feedforward and feedback information flows
Published in NeuroImage (Orlando, Fla.) (01-03-2016)“…Object perception involves a range of visual and cognitive processes, and is known to include both a feedfoward flow of information from early visual cortical…”
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Neural signatures of dynamic emotion constructs in the human brain
Published in Neuropsychologia (01-08-2020)“…How is emotion represented in the brain: is it categorical or along dimensions? In the present study, we applied multivariate pattern analysis (MVPA) to…”
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Capacity for movement is an organisational principle in object representations
Published in NeuroImage (Orlando, Fla.) (01-11-2022)“…The ability to perceive moving objects is crucial for threat identification and survival. Recent neuroimaging evidence has shown that goal-directed movement is…”
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Mapping the dynamics of visual feature coding: Insights into perception and integration
Published in PLoS computational biology (08-01-2024)“…The basic computations performed in the human early visual cortex are the foundation for visual perception. While we know a lot about these computations, a key…”
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The emergence of semantic meaning in the ventral temporal pathway
Published in Journal of cognitive neuroscience (01-01-2014)“…In the ventral visual pathway, early visual areas encode light patterns on the retina in terms of image properties, for example, edges and color, whereas…”
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The time-course of feature-based attention effects dissociated from temporal expectation and target-related processes
Published in Scientific reports (28-04-2022)“…Selective attention prioritises relevant information amongst competing sensory input. Time-resolved electrophysiological studies have shown stronger…”
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Emerging Object Representations in the Visual System Predict Reaction Times for Categorization
Published in PLoS computational biology (01-06-2015)“…Recognizing an object takes just a fraction of a second, less than the blink of an eye. Applying multivariate pattern analysis, or "brain decoding", methods to…”
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Human EEG recordings for 1,854 concepts presented in rapid serial visual presentation streams
Published in Scientific data (10-01-2022)“…The neural basis of object recognition and semantic knowledge has been extensively studied but the high dimensionality of object space makes it challenging to…”
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Neural Decoding and "Inner" Psychophysics: A Distance-to-Bound Approach for Linking Mind, Brain, and Behavior
Published in Frontiers in neuroscience (28-04-2016)“…A fundamental challenge for cognitive neuroscience is characterizing how the primitives of psychological theory are neurally implemented. Attempts to meet this…”
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Patterns of activity in the categorical representations of objects
Published in Journal of cognitive neuroscience (01-07-2003)“…Object perception has been a subject of extensive fMRI studies in recent years. Yet the nature of the cortical representation of objects in the human brain…”
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Stimulus Feature-Specific Information Flow Along the Columnar Cortical Microcircuit Revealed by Multivariate Laminar Spiking Analysis
Published in Frontiers in systems neuroscience (30-11-2020)“…Most of the mammalian neocortex is comprised of a highly similar anatomical structure, consisting of a granular cell layer between superficial and deep layers…”
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Spatial and Feature-selective Attention Have Distinct, Interacting Effects on Population-level Tuning
Published in Journal of cognitive neuroscience (05-01-2022)“…Attention can be deployed in different ways: When searching for a taxi in New York City, we can decide where to attend (e.g., to the street) and what to attend…”
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Decoding Images in the Mind's Eye: The Temporal Dynamics of Visual Imagery
Published in Vision (Basel) (21-10-2019)“…Mental imagery is the ability to generate images in the mind in the absence of sensory input. Both perceptual visual processing and internally generated…”
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The representational dynamics of visual objects in rapid serial visual processing streams
Published in NeuroImage (Orlando, Fla.) (01-03-2019)“…In our daily lives, we are bombarded with a stream of rapidly changing visual input. Humans have the remarkable capacity to detect and identify objects in…”
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Quadrantic deficit reveals anatomical constraints on selection
Published in Proceedings of the National Academy of Sciences - PNAS (14-08-2007)“…Our conscious experience is of a seamless visual world, but many of the cortical areas that underlie our capacity for vision have a fragmented or asymmetrical…”
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The influence of image masking on object representations during rapid serial visual presentation
Published in NeuroImage (Orlando, Fla.) (15-08-2019)“…Rapid image presentations combined with time-resolved multivariate analysis methods of EEG or MEG (rapid-MVPA) offer unique potential in assessing the temporal…”
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Finding decodable information that can be read out in behaviour
Published in NeuroImage (Orlando, Fla.) (01-10-2018)“…Multivariate decoding methods applied to neuroimaging data have become the standard in cognitive neuroscience for unravelling statistical dependencies between…”
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