Format
Sort by
Items per page

Send to

Choose Destination

Search results

Items: 7

1.

Memristive and CMOS Devices for Neuromorphic Computing.

Milo V, Malavena G, Monzio Compagnoni C, Ielmini D.

Materials (Basel). 2020 Jan 1;13(1). pii: E166. doi: 10.3390/ma13010166. Review.

2.

Computing of temporal information in spiking neural networks with ReRAM synapses.

Wang W, Pedretti G, Milo V, Carboni R, Calderoni A, Ramaswamy N, Spinelli AS, Ielmini D.

Faraday Discuss. 2019 Feb 18;213(0):453-469. doi: 10.1039/c8fd00097b.

3.

Learning of spatiotemporal patterns in a spiking neural network with resistive switching synapses.

Wang W, Pedretti G, Milo V, Carboni R, Calderoni A, Ramaswamy N, Spinelli AS, Ielmini D.

Sci Adv. 2018 Sep 12;4(9):eaat4752. doi: 10.1126/sciadv.aat4752. eCollection 2018 Sep.

4.

Publisher Correction: Memristive neural network for on-line learning and tracking with brain-inspired spike timing dependent plasticity.

Pedretti G, Milo V, Ambrogio S, Carboni R, Bianchi S, Calderoni A, Ramaswamy N, Spinelli AS, Ielmini D.

Sci Rep. 2018 Jun 18;8(1):9485. doi: 10.1038/s41598-018-26716-7.

5.

Memristive neural network for on-line learning and tracking with brain-inspired spike timing dependent plasticity.

Pedretti G, Milo V, Ambrogio S, Carboni R, Bianchi S, Calderoni A, Ramaswamy N, Spinelli AS, Ielmini D.

Sci Rep. 2017 Jul 13;7(1):5288. doi: 10.1038/s41598-017-05480-0. Erratum in: Sci Rep. 2018 Jun 18;8(1):9485.

6.

Unsupervised Learning by Spike Timing Dependent Plasticity in Phase Change Memory (PCM) Synapses.

Ambrogio S, Ciocchini N, Laudato M, Milo V, Pirovano A, Fantini P, Ielmini D.

Front Neurosci. 2016 Mar 8;10:56. doi: 10.3389/fnins.2016.00056. eCollection 2016.

7.

[Duration of the lactation period in Czechoslovak women].

Sapák K, Falckráb E, Milo V.

Bratisl Lek Listy. 1968;49(3):294-300. Slovak. No abstract available.

PMID:
5670569

Supplemental Content

Support Center