Naselaris, T., K. N. Kay, S. Nishimoto, and J. L. Gallant. 2011. 'Encoding and decoding in fMRI',NeuroImage, 56: 400-10. Norman, K. A., S. M. Polyn, G. J. Detre, and J. V. Haxby. 2006. 'Beyond mind-reading: multi-voxel pattern analysis of fMRI data',Trends Cogn Sci...
Using a voxel-wise encoding model trained on these features, we found that models based on visual (motion energy) and social (faces, social interaction, ToM, valence, and arousal) features can both predict brain activity in children as young as 3 years old across...
The voxel-wise encoding models and activity from the perception runs (middle) were used to perform image identification (bottom middle). The same voxel-wise encoding models and activity from the imagery runs (right) were used to perform mental image identification (bottom right). During image ...
读脑技术哪家强,伯克利找Gallant。 加州伯克利的Gallant所带领的实验室,一直对大脑视觉听觉信号解码非常热衷,从科普的角度,可以将这个目标描述为「读心术」。 通过核磁共振成像的扫描,来推测你看到了、听到了什么。由此,未来可能可以推测你在思考什么(因为思考时也有Inner speech)。 这篇专栏专业性略强,推荐给对大脑...
Using a voxel-wise encoding model trained using these features, we find that visual (motion energy) and social (faces, social interaction, ToM, valence, and arousal) features can both predict brain activity in children as young as three years old across the cortex, with particularly high ...
Encoding modelsComputational neurosciencefMRIVoxelwise modelingPredictive models for neural or fMRI data are often fit using regression methods that employ priors on the model parameters. One widely used method is ridge regression, which employs a spherical multivariate normal prior that assumes equal and...
We ?t voxelwise encoding models to estimate tuning for scene categories that re?ect statistical ensembles of objects and actions in the natural world. Voxelwise modeling (VM) is a powerful framework to predict single voxel responses evoked by a rich set of stimulus features present in complex ...
Due to the variety of neuron morphology and the lack of large neuron datasets, most of current neuron segmentation models rely on introducing complex and specially-designed submodules to a base architecture with the aim of encoding better feature representations. Though successful, extra burden would...
The role of auxilliary parameters in evaluating voxel-wise encoding models for 3T and 7T BOLD fMRI datadoi:10.1101/2020.04.07.029397Moritz BoosJ. Swaroop GuntupalliJochem W. RiegerMichael HankeCold Spring Harbor Laboratory
Three shell dMRI was acquired with the following parameters: 71 diffusion encoding directions each at 3 b-values (b-values: 500s/mm2, 1000s/mm2, and 2500s/mm2), spatial resolution=1.5mm3, TE=100ms, multiband factor=3. A multiple linear regression model was further used to understand the...