Publication
Hardware implementation of a bio-plausible neuron model for evolution and growth of spiking neural networks on FPGA
AbstractThe natural-language approach to identifying biological analogies exploits the existing format of much biological knowledge, beyond databases created for biomimetic design. However, designers may need to select analogies from search results, during which biases may exist toward: specific words in descriptions of biological phenomena, familiar organisms and scales, and strategies that match preconceived solutions. Therefore, we conducted two experiments to study the effect of abstraction on overcoming these biases and selecting biological phenomena based on analogical similarities.
Download publicationAssociated Researchers
Related Resources
See what’s new.
2021
RobustPointSet: A Dataset for Benchmarking Robustness of Point Cloud ClassifiersThe 3D deep learning community has seen significant strides in…
2012
GamiCAD: A Gamified Tutorial System for First Time AutoCAD UsersWe present GamiCAD, a gamified in-product, interactive tutorial system…
2012
An optimization approach for extracting and encoding consistent maps in a shape collectionWe introduce a novel approach for computing high quality…
2015
Designing for AM: Integrating Mesh-Based Modelling Techniques with Parametric CADThe growing use of additive manufacturing lifts many constraints on…
Get in touch
Something pique your interest? Get in touch if you’d like to learn more about Autodesk Research, our projects, people, and potential collaboration opportunities.
Contact us