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Biological Cybernetics, Volume 118
Volume 118, Number 1-2, April 2024
- Samuel J. Gershman:
What have we learned about artificial intelligence from studying the brain? 1-5 - Friedrich Puttkammer, Benjamin Lindner:
Fluctuation-response relations for integrate-and-fire models with an absolute refractory period. 7-19 - Yang Jiao, Qian Zheng, Dan Qiao, Xun Lang, Lei Xie, Yi Pan:
EEG rhythm separation and time-frequency analysis of fast multivariate empirical mode decomposition for motor imagery BCI. 21-37 - Terry Elliott:
Stability against fluctuations: a two-dimensional study of scaling, bifurcations and spontaneous symmetry breaking in stochastic models of synaptic plasticity. 39-81 - Pau Fisco-Compte, David Aquilué-Llorens, Nestor Roqueiro, Enric Fossas, Antoni Guillamón:
Empirical modeling and prediction of neuronal dynamics. 83-110 - Yan Huang, Yue Gao, Qiang Huang, Qining Wang:
Controlling flat-foot limit cycle walkers with compliant joints based on local stability variation. 111-126 - Hao Yang, XiaoLi Yang, Silu Yan:
A dynamic computational model of the parallel circuit on the basal ganglia-cortex associated with Parkinson's disease dementia. 127-143
Volume 118, Number 3-4, August 2024
- Casey O. Diekman, Peter J. Thomas, Christopher G. Wilson:
COVID-19 and silent hypoxemia in a minimal closed-loop model of the respiratory rhythm generator. 145-163 - Ravesh Sukhnandan, Qianxue Chen, Jiayi Shen, Samantha Pao, Yu Huan, Gregory P. Sutton, Jeffrey P. Gill, Hillel J. Chiel, Victoria A. Webster-Wood:
Full Hill-type muscle model of the I1/I3 retractor muscle complex in Aplysia californica. 165-185 - Yanjun Li, Victoria A. Webster-Wood, Jeffrey P. Gill, Gregory P. Sutton, Hillel J. Chiel, Roger D. Quinn:
A computational neural model that incorporates both intrinsic dynamics and sensory feedback in the Aplysia feeding network. 187-213 - Hubert Löffler, Daya Shankar Gupta, Andreas Bahmer:
Neural coding of space by time. 215-227 - Tomoki Takazawa, Yasuyuki Suzuki, Akihiro Nakamura, Risa Matsuo, Pietro Morasso, Taishin Nomura:
How the brain can be trained to achieve an intermittent control strategy for stabilizing quiet stance by means of reinforcement learning. 229-248
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