KamitaniLab/SoundReconstruction

Stars
5
Rank 2,861,937 (Top 57 %)
Language
Jupyter Notebook
Created over 1 year ago
Updated 6 months ago

KamitaniLab/SoundReconstruction

KamitaniLab

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

DeepImageReconstruction

Data and code for Shen, Horikawa, Majima, and Kamitani (2019) Deep image reconstruction from human brain activity. PLoS Comput. Biol. http://dx.doi.org/10.1371/journal.pcbi.1006633.

GenericObjectDecoding

Demo code for Horikawa and Kamitani (2017) Generic decoding of seen and imagined objects using hierarchical visual features. Nat Commun https://www.nature.com/articles/ncomms15037.

HumanDreamDecoding

Codes used in "Neural decoding of visual imagery during sleep" by Horikawa et al (Science, 2013, http://science.sciencemag.org/content/340/6132/639.long)

bdpy

Python package for brain decoding analysis (BrainDecoderToolbox2 data format, machine learning analysis, functional MRI)

icnn

iCNN: image reconstruction from CNN features

VBCCA

Variational Bayesian Canonical Correlation Analysis

brain-decoding-cookbook-public

Jupyter Notebook

BrainDecoderToolbox2

Matlab library for brain decoding analysis (BrainDecoderToolbox2 data format, machine learning analysis, functional MRI)

slir

Python package for Sparse Linear Regression (SLiR)

smlr

Python package for Sparse Multinomial Logistic Regression (SMLR)

End2EndDeepImageReconstruction

EmotionVideoNeuralRepresentation

Data and code for reproducing results of Horikawa, Cowen, Keltner, and Kamitani (2020) The neural representation of visually evoked emotion is high-dimensional, categorical, and distributed across transmodal brain regions. iScience (https://www.cell.com/iscience/fulltext/S2589-0042(20)30245-5).

InterIndividualDeepImageReconstruction

BHscore

Jupyter Notebook

brain-decoding-datasets

Python API for datasets published from Kamitani Lab, Kyoto Univ and ATR.

Jupyter Notebook

SOLR

Matlab and Python code for sparse ordinal logistic regression (SOLR).

IllusionReconstruction

A reconstruction framework for materializing subjective experiences from brain signals

PyFastL2LiR

Fast L2-normalized linear regression

ist-group-seminar-kamitani

Jupyter Notebook

OpenData

Portal to open data from Kamitani Lab, Kyoto Univ. and ATR. https://kamitanilab.github.io/OpenData/

JavaNeuroshareLib

Java Neuroshare Library

dnn-feature-decoding

cnnpref

BrainLinerDataConverter

Open source conversion libraries for the BrainLiner HDF5 data format.

GOD_stimuli_annotations

To share captions of stimuli dataset

Jupyter Notebook

imageGeneration_MATLAB

Matlab functions to generate pattern images (sine grating, concentric sine, Gabor patch, and random dots) and draw basic figures (filled/frame oval/rectangle, line, and polygon)

BlurImageSharpening

spurious_reconstruction

docker-images

BrainLinerDataFormat

Documentation and examples about the BrainLiner HDF5 data format.

PositionDecoding

Demo codes for our paper, "Position information encoded by population activity in hierarchical visual areas", http://eneuro.org/content/early/2017/03/23/ENEURO.0268-16.2017

NeuralCodeConverter

Neural code converter (original paper: Yamada K, Miyawaki Y, Kamitani Y (2015) "Inter-subject neural code converter for visual image representation". NeuroImage 113, 289-297. http://www.sciencedirect.com/science/article/pii/S1053811915002554)

InterSiteNeuralCodeConversion