4,612 research outputs found
An optimally evolved connective ratio of neural networks that maximizes the occurrence of synchronized bursting behavior
<p>Abstract</p> <p>Background</p> <p>Synchronized bursting activity (SBA) is a remarkable dynamical behavior in both <it>ex vivo </it>and <it>in vivo </it>neural networks. Investigations of the underlying structural characteristics associated with SBA are crucial to understanding the system-level regulatory mechanism of neural network behaviors.</p> <p>Results</p> <p>In this study, artificial pulsed neural networks were established using spike response models to capture fundamental dynamics of large scale <it>ex vivo </it>cortical networks. Network simulations with synaptic parameter perturbations showed the following two findings. (i) In a network with an excitatory ratio (ER) of 80-90%, its connective ratio (CR) was within a range of 10-30% when the occurrence of SBA reached the highest expectation. This result was consistent with the experimental observation in <it>ex vivo </it>neuronal networks, which were reported to possess a matured inhibitory synaptic ratio of 10-20% and a CR of 10-30%. (ii) No SBA occurred when a network does not contain any all-positive-interaction feedback loop (APFL) motif. In a neural network containing APFLs, the number of APFLs presented an optimal range corresponding to the maximal occurrence of SBA, which was very similar to the optimal CR.</p> <p>Conclusions</p> <p>In a neural network, the evolutionarily selected CR (10-30%) optimizes the occurrence of SBA, and APFL serves a pivotal network motif required to maximize the occurrence of SBA.</p
Dirac series of
Using the sharpened Helgason-Johnson bound, this paper classifies all the
irreducible unitary representations with non-zero Dirac cohomology of
. As an application, we find that the cancellation between the even
part and the odd part of the Dirac cohomology continues to happen for certain
unitary representations of . Assuming the infinitesimal character
being integral, we further improve the Helgason-Johnson bound for .
This should help people to understand (part of) the unitary dual of this group.Comment: 25 pages. arXiv admin note: text overlap with arXiv:2204.0790
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