Our paper A neural algorithm of artistic style (posted on arXiv on Aug 26) is ranked #9 among the most widely discussed and shared academic papers in 2015. See here for the top 100 list and the Altmetric report for our paper. Remarkably, in the all-time stats it ranks #102 out of more than 4.6 million articles.
We have a new paper published today in Science. Xiaolong Jiang in Andreas Tolias’ lab at Baylor College of Medicine recorded, labeled, and classified over 1600 neurons in mouse visual cortex and characterized their connectivity. Based on his remarkable work we discovered three simple connectivity rules that capture most of the structure of the connectivity matrix:
- There are two master regulators with distinct input profiles.
- Interneuron-selective interneurons are neither self-inhibitory nor locally recruited.
- Pyramidal-neuron-targeting interneurons are self-inhibitory and locally recruited.
We recently founded Pro-Test Germany, a non-profit organization by young scientists with the goal of communicating and educating about the need of using animals in research.
Whether or not we should use animals in research is a controversial question. While it is clear to a neuroscientist like myself that we need animal research to make progress in basic research and medicine, it may not be as obvious to someone who has never done science or even met a scientist.
Unfortunately, in Germany the public dispute on this topic has been dominated by animal rights activists with extreme views. Scientists, on the other hand, have mostly preferred to do their work instead of engaging with the public. After the recent events in Tübingen that forced Max Planck director Nikos Logothetis to give up his work with macaque monkeys, it has become clear to many of us that this needs to change. Scientists have to speak up, get out there, and talk about their work: What do we do? Why do we do it? Why is it necessary? How does it help society? To help answering these questions for everybody, we started Pro-Test Germany. We will have a website, be active on social media and have public actions in Tübingen. Visit our website or Facebook page and stay tuned!
Our paper describing how population activity in primate V1 depends on brain state has been published today in Neuron.
We used multi-tetrode recording arrays to record from up to 64 neurons simultaneously in both awake and anesthetized monkeys. Remarkably, in anesthetized animals there was a strong common fluctuation of firing rates on a timescale of 200–500 ms, which was absent during the awake state. To model these fluctuations we used a latent variable model called Gaussian Process Factor Analysis (Yu et al. 2009). After accounting for a single common modulator, the correlation structure in the anesthetized state matched that during wakefulness almost perfectly.