Pinned Repositories
academic-kickstart
cmbd-book
「行動データの計算論モデリング」のサポートページです。
computation-thru-dynamics
Understanding computation in artificial and biological recurrent networks through the lens of dynamical systems.
demoanalysis
Notebooks to accompany "Persistent neuronal activity in human prefrontal cortex links perception and action"
dvbf
Deep variational bayes filters
hBayesDM
Hierarchical Bayesian modeling of RLDM tasks, using R & Python
HyperEEG
Exploring HyperAlignment & related ideas on EEG data.
MoguProject
nipype-beginner-s-guide
Beginner's guide for Nipype
PsychRNN
AKikumoto's Repositories
AKikumoto/academic-kickstart
AKikumoto/cmbd-book
「行動データの計算論モデリング」のサポートページです。
AKikumoto/computation-thru-dynamics
Understanding computation in artificial and biological recurrent networks through the lens of dynamical systems.
AKikumoto/demoanalysis
Notebooks to accompany "Persistent neuronal activity in human prefrontal cortex links perception and action"
AKikumoto/dvbf
Deep variational bayes filters
AKikumoto/hBayesDM
Hierarchical Bayesian modeling of RLDM tasks, using R & Python
AKikumoto/HyperEEG
Exploring HyperAlignment & related ideas on EEG data.
AKikumoto/MoguProject
AKikumoto/nipype-beginner-s-guide
Beginner's guide for Nipype
AKikumoto/PsychRNN
AKikumoto/NonlinearDynamicsJC
Record of journal club for nonlinear dynamics of artificial/biological networks
AKikumoto/note_analysis_2stage_tasks
Code for the simulations discussed in the paper "A note on the analysis of two-stage task results: how changes in task structure affect what model-free and model-based strategies predict about the effects of reward and transition on the stay probability" by C. Feher da Silva and Todd A. Hare.
AKikumoto/P.SEQ_fMRI
AKikumoto/SingleTrial_DecodeEncode_RSA