Fabio Stefanini
Affiliations: | 2011-2014 | Institute of Neuroinformatics Zurich | ETH/Uni Zurich, Zürich, Zürich, Switzerland |
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"Fabio Stefanini"Mean distance: 15.14 (cluster 17) | S | N | B | C | P |
Parents
Sign in to add mentor| Andrea Cavagna | research assistant | 2006-2007 | (Physics Tree) |
| Rodney J. Douglas | grad student | 2009-2013 | |
| Giacomo Indiveri | grad student | 2011-2014 | ETH/Uni Zurich |
| Stefano Fusi | post-doc | 2014- | Columbia |
Collaborators
Sign in to add collaborator| René Hen | collaborator | 2015- | |
| Mazen A. Kheirbek | collaborator | 2016- |
BETA: Related publications
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Publications
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| Biane JS, Ladow MA, Stefanini F, et al. (2023) Neural dynamics underlying associative learning in the dorsal and ventral hippocampus. Nature Neuroscience |
| Ji-An L, Stefanini F, Benna MK, et al. (2022) Face familiarity detection with complex synapses. Iscience. 26: 105856 |
| Kaufman MT, Benna MK, Rigotti M, et al. (2022) The implications of categorical and category-free mixed selectivity on representational geometries. Current Opinion in Neurobiology. 77: 102644 |
| Donegan ML, Stefanini F, Meira T, et al. (2020) Coding of social novelty in the hippocampal CA2 region and its disruption and rescue in a 22q11.2 microdeletion mouse model. Nature Neuroscience. 23: 1365-1375 |
| Stefanini F, Kushnir L, Jimenez JC, et al. (2020) A Distributed Neural Code in the Dentate Gyrus and in CA1. Neuron |
| Ahmed MS, Priestley JB, Castro A, et al. (2020) Hippocampal Network Reorganization Underlies the Formation of a Temporal Association Memory. Neuron |
| Woods NI, Stefanini F, Apodaca-Montano DL, et al. (2020) The Dentate Gyrus Classifies Cortical Representations of Learned Stimuli. Neuron |
| Moradi S, Qiao N, Stefanini F, et al. (2018) A Scalable Multicore Architecture With Heterogeneous Memory Structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs). Ieee Transactions On Biomedical Circuits and Systems. 12: 106-122 |
| Qiao N, Mostafa H, Corradi F, et al. (2015) A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses. Frontiers in Neuroscience. 9: 141 |
| Qiao N, Mostafa H, Corradi F, et al. (2015) A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses Frontiers in Neuroscience. 9 |