339 citations
- Stanford UniversityUS7 papers
- Allen Institute for Brain ScienceUS3 papers
- Howard Hughes Medical InstituteUS3 papers
- Bioengineering CenterRU2 papers
- Harvard UniversityUS2 papers
- Massachusetts General HospitalUS2 papers
- Neuroscience InstituteIT2 papers
- Princeton UniversityUS2 papers
- Stanford MedicineUS2 papers
- Uber AI (United States)US2 papers
- University of California, BerkeleyUS2 papers
- University of California, DavisUS2 papers
Showing cs.NEShow all
3 papers · 1 filter
cs.NE2026★ 1 cited
Benchmarking ERP Analysis: Manual Features, Deep Learning, and Foundation Models
Yihe Wang, Zhiqiao Kang, Bohan Chen +2
Event-related potential (ERP), a specialized paradigm of electroencephalographic (EEG), reflects neurological responses to external stimuli or events, generally associated with the…
cs.NE2020★ 34 cited
Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity
Thomas Miconi, Aditya Rawal, Jeff Clune +1
The impressive lifelong learning in animal brains is primarily enabled by plastic changes in synaptic connectivity. Importantly, these changes are not passive, but are actively con…
cs.NE2018★ 17 cited
Differentiable plasticity: training plastic neural networks with backpropagation
Thomas Miconi, Jeff Clune, Kenneth O. Stanley
How can we build agents that keep learning from experience, quickly and efficiently, after their initial training? Here we take inspiration from the main mechanism of learning in b…