Showing results (1571-1580 of 2,011) with videos related to
Sort By:
Pageof 202
Frontiers in Computational Neuroscience|September 28, 2023
Soft error mitigation and recovery of SRAM-based FPGAs using brain-inspired hybrid-grained scrubbing mechanismYu Xie, Tingting Qiao, Yizhuang Xie, et al.Frontiers in Computational Neuroscience|July 19, 2023
Online spike-based recognition of digits with ultrafast microlaser neuronsAmir Masominia, Laurie E Calvet, Simon Thorpe, et al.Frontiers in Computational Neuroscience|July 3, 2023
Robust and efficient representations of dynamic stimuli in hierarchical neural networks via temporal smoothingDuho Sihn, Oh-Sang Kwon, Sung-Phil KimFrontiers in Computational Neuroscience|July 3, 2023
Covariance properties under natural image transformations for the generalised Gaussian derivative model for visual receptive fieldsTony LindebergFrontiers in Computational Neuroscience|July 21, 2023
Empirical mode decomposition of local field potential data from optogenetic experimentsSorinel A Oprisan, Xandre Clementsmith, Tamas Tompa, et al.Frontiers in Computational Neuroscience|July 14, 2023
Controlling neocortical epileptic seizures using forced temporal spike-time stimulation: an in silico computational studyJoseph Schmalz, Rachel V Quinarez, Mayuresh V Kothare, et al.Frontiers in Computational Neuroscience|July 14, 2023
Distinctive properties of biological neural networks and recent advances in bottom-up approaches toward a better biologically plausible neural networkIkhwan Jeon, Taegon KimFrontiers in Computational Neuroscience|June 26, 2023
Optogenetic manipulation of inhibitory interneurons can be used to validate a model of spatiotemporal sequence learningJackson Rozells, Jeffrey P GavornikFrontiers in Computational Neuroscience|November 5, 2019
Hippocampal-Cortical Memory Trace Transfer and Reactivation Through Cell-Specific Stimulus and Spontaneous Background NoiseXin Liu, Duygu KuzumFrontiers in Computational Neuroscience|November 5, 2019
Prediction and Classification of Alzheimer's Disease Based on Combined Features From Apolipoprotein-E Genotype, Cerebrospinal Fluid, MR, and FDG-PET Imaging BiomarkersYubraj Gupta, Ramesh Kumar Lama, Goo-Rak Kwon, et al.Pageof 202