Generating realistic neurophysiological time series with denoising diffusion probabilistic models

J Vetter, JH Macke, R Gao - bioRxiv, 2023 - biorxiv.org
In recent years, deep generative models have had a profound impact in engineering and
sciences, revolutionizing domains such as image and audio generation, as well as …

[HTML][HTML] 认知神经科学中蕴藏的力学思想与应用

王如彬, 王毅泓, 徐旭颖, 潘晓川 - 力学进展, 2020 - lxjz.cstam.org.cn
该文系统总结了作者团队在脑科学领域内提出的神经能量理论与方法, 以及力学与神经能量理论
之间的内在联系. 着重介绍了如何运用分析动力学的思想构建一个与HH 模型等效的WZ …

Inducing dynamic group sparsity on vagus nerve recordings

K Aboumerhi… - 2023 57th Annual …, 2023 - ieeexplore.ieee.org
As recording electrodes improve with higher spatial resolution, the large amount of incoming
data is becoming difficult to handle on low-resource medical technologies, such as …

Modeling Synaptic Integration of Bursty and β Oscillatory Inputs in Ventromedial Motor Thalamic Neurons in Normal and Parkinsonian States

F Cavarretta, D Jaeger - Eneuro, 2023 - eneuro.org
The ventromedial motor thalamus (VM) is implicated in multiple motor functions and
occupies a central position in the cortico-basal ganglia-thalamocortical loop. It integrates …

[HTML][HTML] Mechanical thoughts and applications in cognitive neuroscience

W Rubin, W Yihong, X Xuying, PAN Xiaochuan - 力学进展, 2020 - lxjz.cstam.org.cn
This review article systematically summarizes the neural energy theory and methods
proposed by our team in the field of brain science, and the internal relationship between …

Synthetic Data Resource and Benchmarks for Time Cell Analysis and Detection Algorithms

KG Ananthamurthy, US Bhalla - Eneuro, 2023 - eneuro.org
Hippocampal CA1 cells take part in reliable, time-locked activity sequences in tasks that
involve an association between temporally separated stimuli, in a manner that tiles the …