1. Meta-learning Hebbian plasticity for continual familiarity detection Tyulmankov, Danil; Yang, Guangyu Robert; Abbott, Larry 2020 Conference Objects NeuroplasticityMemoryNeurobiologyNeurosciences
2. full-FORCE: A target-based method for training recurrent networks DePasquale, Brian David; Cueva, Christopher Jose; Rajan, Kanaka; Escola, Gary Sean; Abbott, Larry 2018 Articles NeurosciencesSystem analysisNeural networks (Neurobiology)Learning
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5. Tensor Analysis Reveals Distinct Population Structure that Parallels the Different Computational Roles of Areas M1 and V1 Seely, Jeffrey Scott; Kaufman, Matthew T.; Ryu, Stephen I.; Shenoy, Krishna V.; Cunningham, John Patrick; Churchland, Mark M. 2016 Articles Motor cortexCalculus of tensorsNeuronsVisual cortexNeurosciencesBiometry
6. Hebbian-inspired rewiring of a random network replicates pattern of selectivity seen in PFC Lindsay, Grace Wilhelmina; Rigotti, Mattia; Warden, Melissa; Miller, Earl; Fusi, Stefano 2014 Articles Prefrontal cortexNeurosciences