Data from: Locking of correlated neural activity to ongoing oscillations

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DOI：

doi:10.5061/dryad.45sg0

摘要：

e theory yields closed-form expressions for the cyclostationary mean activities and pairwise zero-time-lag covariances of binary recurrent random ne

Data from: Scalability of asynchronous networks is limited by one-to-one mapping between effective connectivity and correlations

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binary neurons;integrate-and-fire neurons;network scaling;asynchronous networks;correlations

DOI：

doi:10.5061/dryad.2m85h

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correlations under a change in numbers of neurons or synapses in the asynchronous regime typical of cortical networks. We find that mean activities

Data from: Deep neural networks for accurate predictions of crystal stability

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Garnet;Perovskite;Materials Science;Crystal Stability;Machine Learning

DOI：

doi:10.5061/dryad.760r5b6

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can be achieved using a binary encoding scheme, addressing a critical gap in the extension of machine-learning models from fixed stoichiometry crystals to infinite

A novel neuronal mechanism for temporal order discrimination

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Neuroscience temporal order neuronal mechanism NMDA dendrite

DOI：

doi:10.25549/usctheses-c3-216127

摘要：

duce \u201Cstrong\u201D TOS responses, defined as responses that are (1) superlinear to the preferred ordering A→B, i.e. significantly larger than the sum