40 citations · 41 across the 2 of their papers we have counts for
2 papers
cs.CV2026★ 1 cited
SLIM-Brain: A Data- and Training-Efficient Foundation Model for fMRI Data Analysis
Mo Wang, Junfeng Xia, Wenhao Ye +5
Foundation models are emerging as a powerful paradigm for fMRI analysis, but current approaches face a dual bottleneck of data- and training-efficiency. Atlas-based methods aggrega…
q-bio.QM2011★ 40 cited
A self-organizing state-space-model approach for parameter estimation in Hodgkin-Huxley-type models of single neurons
Dimitrios V. Vavoulis, Volko A. Straub, John A. D. Aston +1
Traditionally, parameter estimation in biophysical neuron and neural network models usually adopts a global search algorithm, often combined with a local search method in order to…