Deconstructing multivariate decoding for the study of brain function
Multivariate decoding methods were developed originally as tools to enable accurate
predictions in real-world applications. The realization that these methods can also be …
predictions in real-world applications. The realization that these methods can also be …
High-density diffuse optical tomography for imaging human brain function
This review describes the unique opportunities and challenges for noninvasive optical
mapping of human brain function. Diffuse optical methods offer safe, portable, and radiation …
mapping of human brain function. Diffuse optical methods offer safe, portable, and radiation …
Object vision in a structured world
In natural vision, objects appear at typical locations, both with respect to visual space (eg, an
airplane in the upper part of a scene) and other objects (eg, a lamp above a table). Recent …
airplane in the upper part of a scene) and other objects (eg, a lamp above a table). Recent …
Contrast, attend and diffuse to decode high-resolution images from brain activities
Decoding visual stimuli from neural responses recorded by functional Magnetic Resonance
Imaging (fMRI) presents an intriguing intersection between cognitive neuroscience and …
Imaging (fMRI) presents an intriguing intersection between cognitive neuroscience and …
Comparing object recognition in humans and deep convolutional neural networks—an eye tracking study
LE Van Dyck, R Kwitt, SJ Denzler… - Frontiers in …, 2021 - frontiersin.org
Deep convolutional neural networks (DCNNs) and the ventral visual pathway share vast
architectural and functional similarities in visual challenges such as object recognition …
architectural and functional similarities in visual challenges such as object recognition …
Evidence for a deep, distributed and dynamic code for animacy in human ventral anterior temporal cortex
How does the human brain encode semantic information about objects? This paper
reconciles two seemingly contradictory views. The first proposes that local neural …
reconciles two seemingly contradictory views. The first proposes that local neural …
From ERPs to MVPA using the Amsterdam decoding and modeling toolbox (ADAM)
In recent years, time-resolved multivariate pattern analysis (MVPA) has gained much
popularity in the analysis of electroencephalography (EEG) and magnetoencephalography …
popularity in the analysis of electroencephalography (EEG) and magnetoencephalography …
Visual representations: Insights from neural decoding
AK Robinson, GL Quek… - Annual Review of Vision …, 2023 - annualreviews.org
Patterns of brain activity contain meaningful information about the perceived world. Recent
decades have welcomed a new era in neural analyses, with computational techniques from …
decades have welcomed a new era in neural analyses, with computational techniques from …
Beyond core object recognition: Recurrent processes account for object recognition under occlusion
Core object recognition, the ability to rapidly recognize objects despite variations in their
appearance, is largely solved through the feedforward processing of visual information …
appearance, is largely solved through the feedforward processing of visual information …
[HTML][HTML] The time course of cross-modal representations of conceptual categories
J Dirani, L Pylkkänen - Neuroimage, 2023 - Elsevier
To what extent does language production activate cross-modal conceptual representations?
In picture naming, we view specific exemplars of concepts and then name them with a label …
In picture naming, we view specific exemplars of concepts and then name them with a label …