Default mode network connectivity in stable vs progressive mild cognitive impairment JR Petrella, FC Sheldon, SE Prince, VD Calhoun, PM Doraiswamy
Neurology 76 (6), 511-517, 2011
349 2011 Predicting cognitive decline in subjects at risk for Alzheimer disease by using combined cerebrospinal fluid, MR imaging, and PET biomarkers JL Shaffer, JR Petrella, FC Sheldon, KR Choudhury, VD Calhoun, ...
Radiology 266 (2), 583-591, 2013
316 * 2013 Evidence of exponential speed-up in the solution of hard optimization problems FL Traversa, P Cicotti, F Sheldon, M Di Ventra
Complexity 2018, 2018
39 2018 Taming a nonconvex landscape with dynamical long-range order: Memcomputing ising benchmarks F Sheldon, FL Traversa, M Di Ventra
Physical Review E 100 (5), 053311, 2019
29 * 2019 Conducting-insulating transition in adiabatic memristive networks FC Sheldon, M Di Ventra
Physical Review E 95 (1), 012305, 2017
20 2017 The backpropagation algorithm implemented on spiking neuromorphic hardware A Renner, F Sheldon, A Zlotnik, L Tao, A Sornborger
arXiv preprint arXiv:2106.07030, 2021
18 2021 Stress-testing memcomputing on hard combinatorial optimization problems F Sheldon, P Cicotti, FL Traversa, M Di Ventra
IEEE transactions on neural networks and learning systems 31 (6), 2222-2226, 2019
17 2019 Global minimization via classical tunneling assisted by collective force field formation F Caravelli, FC Sheldon, FL Traversa
Science Advances 7 (52), eabh1542, 2021
14 2021 Critical branching processes in digital memcomputing machines SRB Bearden, F Sheldon, M Di Ventra
Europhysics Letters 127 (3), 30005, 2019
9 2019 Computational capacity of FC Sheldon, A Kolchinsky, F Caravelli
Physical Review E 106 (4), 045310, 2022
8 2022 The computational capacity of Mem-LRC reservoirs F Sheldon, F Caravelli
Proceedings of the 2020 Annual Neuro-Inspired Computational Elements …, 2020
3 2020 Fully analog memristive circuits for optimization tasks: A comparison FC Sheldon, F Caravelli, C Coffrin
Handbook of Unconventional Computing: VOLUME 2: Implementations, 193-213, 2022
2 2022 Phases of memristive circuits via an interacting disorder approach F Caravelli, FC Sheldon
arXiv preprint arXiv:2009.00114, 2020
2 2020 Implementing backpropagation for learning on neuromorphic spiking hardware A Renner, F Sheldon, A Zlotnik, L Tao, A Sornborger
Proceedings of the 2020 Annual Neuro-Inspired Computational Elements …, 2020
2 2020 Number of attractors in the critical Kauffman model is exponential TMA Fink, FC Sheldon
Physical Review Letters 131 (26), 267402, 2023
1 2023 Insights from number theory into the critical Kauffman model with connectivity one FC Sheldon, TMA Fink
arXiv preprint arXiv:2303.02079, 2023
1 2023 The computational capacity of memristor reservoirs FC Sheldon, A Kolchinsky, F Caravelli
Arxiv manuscript, 2020
1 2020 Phase-dependent noise in Josephson junctions F Sheldon, S Peotta, M Di Ventra
The European Physical Journal Applied Physics 81 (1), 10601, 2018
1 2018 Simple solution of the critical Kauffman model with connectivity one TMA Fink, FC Sheldon
networks 104, 048701, 2010
1 2010 Network analysis of memristive device circuits: dynamics, stability and correlations F Barrows, FC Sheldon, F Caravelli
arXiv preprint arXiv:2402.16015, 2024
2024 
M. Di VentraProfessor of Physics, University of California, San DiegoDirección de correo verificada de physics.ucsd.edu
