We investigate the neural dynamics in an exicitatory-inhibitory neural nerwork (E-I network) with ReLU activation and Hebbian learning. By local bifurcation analysis, we find there are ten possible neural dynamical patterns between one excitatory neuron and one inhibitory neuron with all four types of synaptic connections. The unstable node never... [Read More]
Real-Time Virtual Reality Streaming with Neural Super-Resolution
In this work, we tackle the problem of real-time virtual reality streaming in low-bandwidth network conditions. In low-bandwidth settings, VR streaming faces an inherent trade-off between responsiveness and image resolution, both of which are crucial to a high quality user experience. To overcome this trade-off, we propose to send low-resolution... [Read More]
Mitochondrial Size Gradients in Cortical Neurons Suggested by 3D Electron Microscopy
Mitochondria play a crucial role in the functioning of neurons by synthesizing ATP and buffering intracellular Ca2+, both necessary for synaptic function. The morphology and location of mitochondria can provide insights into specialized function they perform in different parts of the neuron. We reconstruct 81,397 mitochondria within 180 pyramidal neurons... [Read More]
Can Machines Read Jmulbed Senetcnes?
This research is driven by our curiosity about the limits to which the current technology for natural language processing could be pushed: if humans are capable of reading jumbled sentences, can machines do? To answer this question, we evaluate the ability of state-of-the-art models to recognize and comprehend wordand character-level... [Read More]
Decision-Making with Bayesian Experts
Can we surpass the best expert?
This research project studies a novel online decision-making problem of choosing the correct action each round given access to experts that are knowledgeable, rational, and truthful, rather than arbitrary. We ask, in this setting, whether we can surpass the best expert using voting-based algorithms when the experts provide additional information... [Read More]