Preprints (not yet peer-reviewed)

40 downloads
124 views

We propose a biologically-inspired research agenda with parallel tracks aimed at AI and AI safety. The bottom-up component consists of building a sequence of biophysically realistic simulations of simple organisms such as the nematode Caenorhabditis elegans, the...

["Animal Behavior","Computational Biology","Entomology","Neuroscience","Zoology"]
doi:10.7287/peerj.preprints.27321v1
62 downloads
104 views

Forming generalizations from previous experiences is a complex skill, which requires a delicate coordination between several basic cognitive abilities. In menacing situations, this ability is called “fear generalization”. It allows humans to predict harmful events...

["Animal Behavior","Computational Biology","Neuroscience","Cognitive Disorders","Computational Science"]
doi:10.7287/peerj.preprints.27311v1
177 downloads
450 views

The ability of vertebrates to generate rhythm within their spinal neural networks is essential for walking, running, and other rhythmic behaviors. The central pattern generator (CPG) network responsible for these behaviors is well-characterized with experimental...

["Animal Behavior","Bioinformatics","Computational Biology","Neuroscience","Computational Science"]
doi:10.7287/peerj.preprints.26734v2
191 downloads
693 views

The Drosophila melanogaster white-eyed w1118 line serves as a blank control, allowing genetic recombination of any gene of interest along with a readily recognizable marker. w1118 flies display behavioral susceptibility to environmental stimulation such as light....

["Animal Behavior","Computational Biology"]
doi:10.7287/peerj.preprints.2908v3
285 downloads
604 views

A major goal of systems neuroscience is to understand how the brain represents information, and how those representations are used to drive behavior. Even though genetic model organisms like Drosophila grant unprecedented experimental access to the nervous system...

["Animal Behavior","Computational Biology","Neuroscience"]
doi:10.7287/peerj.preprints.2720v1
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