The importance of mixed selectivity in complex cognitive tasks M Rigotti, O Barak, MR Warden, XJ Wang, ND Daw, EK Miller, S Fusi Nature 497 (7451), 585-590, 2013 | 1599 | 2013 |
Emotion, cognition, and mental state representation in amygdala and prefrontal cortex CD Salzman, S Fusi Annual review of neuroscience 33 (1), 173-202, 2010 | 755 | 2010 |
Hippocampal–prefrontal input supports spatial encoding in working memory T Spellman, M Rigotti, SE Ahmari, S Fusi, JA Gogos, JA Gordon Nature 522 (7556), 309-314, 2015 | 687 | 2015 |
Why neurons mix: high dimensionality for higher cognition S Fusi, EK Miller, M Rigotti Current opinion in neurobiology 37, 66-74, 2016 | 632 | 2016 |
Cascade models of synaptically stored memories S Fusi, PJ Drew, LF Abbott Neuron 45 (4), 599-611, 2005 | 631 | 2005 |
Learning real-world stimuli in a neural network with spike-driven synaptic dynamics JM Brader, W Senn, S Fusi Neural computation 19 (11), 2881-2912, 2007 | 423 | 2007 |
Learning in neural networks with material synapses DJ Amit, S Fusi Neural Computation 6 (5), 957-982, 1994 | 338 | 1994 |
Neocortical pyramidal cells respond as integrate-and-fire neurons to in vivo–like input currents A Rauch, G La Camera, HR Luscher, W Senn, S Fusi Journal of neurophysiology 90 (3), 1598-1612, 2003 | 323 | 2003 |
The geometry of abstraction in the hippocampus and prefrontal cortex S Bernardi, MK Benna, M Rigotti, J Munuera, S Fusi*, CD Salzman* Cell 183 (4), 954-967. e21, 2020 | 294 | 2020 |
Spike-driven synaptic plasticity: theory, simulation, VLSI implementation S Fusi, M Annunziato, D Badoni, A Salamon, DJ Amit Neural computation 12 (10), 2227-2258, 2000 | 273 | 2000 |
Real-time classification of complex patterns using spike-based learning in neuromorphic VLSI S Mitra, S Fusi, G Indiveri IEEE transactions on biomedical circuits and systems 3 (1), 32-42, 2008 | 262 | 2008 |
Limits on the memory storage capacity of bounded synapses S Fusi, LF Abbott Nature neuroscience 10 (4), 485-493, 2007 | 251 | 2007 |
A VLSI recurrent network of integrate-and-fire neurons connected by plastic synapses with long-term memory E Chicca, D Badoni, V Dante, M D'Andreagiovanni, G Salina, L Carota, ... IEEE Transactions on neural networks 14 (5), 1297-1307, 2003 | 239 | 2003 |
Computational principles of synaptic memory consolidation MK Benna, S Fusi Nature neuroscience 19 (12), 1697-1706, 2016 | 237 | 2016 |
Collective behavior of networks with linear (VLSI) integrate-and-fire neurons S Fusi, M Mattia Neural Computation 11 (3), 633-652, 1999 | 215 | 1999 |
The sparseness of mixed selectivity neurons controls the generalization–discrimination trade-off O Barak, M Rigotti, S Fusi Journal of Neuroscience 33 (9), 3844-3856, 2013 | 214 | 2013 |
Internal representation of task rules by recurrent dynamics: the importance of the diversity of neural responses M Rigotti, DBD Rubin, XJ Wang, S Fusi Frontiers in computational neuroscience 4, 24, 2010 | 205 | 2010 |
A neural circuit model of flexible sensorimotor mapping: learning and forgetting on multiple timescales S Fusi, WF Asaad, EK Miller, XJ Wang Neuron 54 (2), 319-333, 2007 | 203 | 2007 |
Climbing neuronal activity as an event-based cortical representation of time J Reutimann, V Yakovlev, S Fusi, W Senn Journal of Neuroscience 24 (13), 3295-3303, 2004 | 192 | 2004 |
Adult neurogenesis in the mammalian hippocampus: why the dentate gyrus? LJ Drew, S Fusi, R Hen Learning & memory 20 (12), 710-729, 2013 | 181 | 2013 |