The role of neural architecture and the speed of signal propagation in the process of synchronization of bursting neurons. Physica A 391, 2764-2770.Gosak M,Markovi R,Marhl M.The role of neural architecture and the speed of signal propagation in the process of synchronization of bursting ...
These results can be important to a user comfortable with a specific recurrent neural network architecture because simply increasing the embedding memory order of that architecture will make it more robust to the problem of long-term dependency learning 展开 ...
The reservoir computing neural network architecture is widely used to test hardware systems for neuromorphic computing. One of the preferred tasks for bench-marking such devices is automatic speech recognition. However, this task requires acoustic transformations from sound waveforms with varying amplitudes...
The influence of biases in such a student-teacher scenario has been assessed for the two-layer soft-committee architecture, which is a universal approximator and already resembles applicable multi-layer network models, within the on-line learning paradigm, where training examples are presented ...
Representations and generalization in artificial and brain neural networks This includes the role of weight norm regularization, network architecture, and hyper-parameters. We will explore recent advances in this theory and ongoing... Q Li,B Sorscher,H Sompolinsky - 《Proceedings of the National Aca...
Optimization of the neural network architecture has also been another challenge and it is usually carried out through an ad-hoc approach. Consequently, most of the feedforward ANNs are limited to shallow structures which limits the ability of the soft sensor to make accurate predictions. Increasing...
Cognitive effort drives workspace configuration of human brain functional networks. J Neurosci. 2011;31:8259–70. CAS PubMed PubMed Central Google Scholar Liang X, Zou Q, He Y, Yang Y. Topologically reorganized connectivity architecture of default-mode, executive-control, and salience networks ...
of pathology or the overall process of neurodegeneration. Nevertheless, it successfully retained the neural pathways essential for sustaining cognitive function well above the anticipated level for an individual in this particular group [50,51].
Z. et al. Role of graph architecture in controlling dynamical networks with applications to neural systems. Nat. Phys. 14, 91–98 (2018). 13. Hu, Y. et al. Optimal control nodes in disease-perturbed networks as targets for combination therapy. Nat. Commun. 10, 2180 (2019). 14. ...
Vision relies on both specific knowledge of visual attributes, such as object categories, and general brain states, such as those reflecting arousal. We hypothesized that these phenomena independently influence recognition of forthcoming stimuli through distinct processes reflected in spontaneous neural activi...