Pattern-information analysis: from stimulus decoding to computational-model testing
N Kriegeskorte - Neuroimage, 2011 - Elsevier
Pattern-information analysis has become an important new paradigm in functional imaging.
Here I review and compare existing approaches with a focus on the question of what we can …
Here I review and compare existing approaches with a focus on the question of what we can …
Discovering the computational relevance of brain network organization
Understanding neurocognitive computations will require not just localizing cognitive
information distributed throughout the brain but also determining how that information got …
information distributed throughout the brain but also determining how that information got …
[HTML][HTML] Keep it real: rethinking the primacy of experimental control in cognitive neuroscience
Naturalistic experimental paradigms in neuroimaging arose from a pressure to test the
validity of models we derive from highly-controlled experiments in real-world contexts. In …
validity of models we derive from highly-controlled experiments in real-world contexts. In …
Human scene-selective areas represent 3D configurations of surfaces
MD Lescroart, JL Gallant - Neuron, 2019 - cell.com
It has been argued that scene-selective areas in the human brain represent both the 3D
structure of the local visual environment and low-level 2D features (such as spatial …
structure of the local visual environment and low-level 2D features (such as spatial …
Convolutional neural network-based encoding and decoding of visual object recognition in space and time
Abstract Representations learned by deep convolutional neural networks (CNNs) for object
recognition are a widely investigated model of the processing hierarchy in the human visual …
recognition are a widely investigated model of the processing hierarchy in the human visual …
Fourier power, subjective distance, and object categories all provide plausible models of BOLD responses in scene-selective visual areas
Perception of natural visual scenes activates several functional areas in the human brain,
including the Parahippocampal Place Area (PPA), Retrosplenial Complex (RSC), and the …
including the Parahippocampal Place Area (PPA), Retrosplenial Complex (RSC), and the …
Functional subdomains within human FFA
The fusiform face area (FFA) is a well-studied human brain region that shows strong
activation for faces. In functional MRI studies, FFA is often assumed to be a homogeneous …
activation for faces. In functional MRI studies, FFA is often assumed to be a homogeneous …
Inferring brain-computational mechanisms with models of activity measurements
N Kriegeskorte, J Diedrichsen - … Transactions of the …, 2016 - royalsocietypublishing.org
High-resolution functional imaging is providing increasingly rich measurements of brain
activity in animals and humans. A major challenge is to leverage such data to gain insight …
activity in animals and humans. A major challenge is to leverage such data to gain insight …
Seeing patterns through the hemodynamic veil—the future of pattern-information fMRI
E Formisano, N Kriegeskorte - Neuroimage, 2012 - Elsevier
Pattern-information fMRI (pi-fMRI) has become a popular method in neuroscience. The
technique is motivated by the idea that spatial patterns of fMRI activity reflect the neuronal …
technique is motivated by the idea that spatial patterns of fMRI activity reflect the neuronal …
Processing of visual statistics of naturalistic videos in macaque visual areas V1 and V4
G Hatanaka, M Inagaki, RF Takeuchi… - Brain Structure and …, 2022 - Springer
Natural scenes are characterized by diverse image statistics, including various parameters
of the luminance histogram, outputs of Gabor-like filters, and pairwise correlations between …
of the luminance histogram, outputs of Gabor-like filters, and pairwise correlations between …