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Items: 10

1.

Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning.

Detorakis G, Sheik S, Augustine C, Paul S, Pedroni BU, Dutt N, Krichmar J, Cauwenberghs G, Neftci E.

Front Neurosci. 2018 Aug 29;12:583. doi: 10.3389/fnins.2018.00583. eCollection 2018.

2.

Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines.

Neftci EO, Augustine C, Paul S, Detorakis G.

Front Neurosci. 2017 Jun 21;11:324. doi: 10.3389/fnins.2017.00324. eCollection 2017.

3.

Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines.

Neftci EO, Pedroni BU, Joshi S, Al-Shedivat M, Cauwenberghs G.

Front Neurosci. 2016 Jun 29;10:241. doi: 10.3389/fnins.2016.00241. eCollection 2016.

4.

Learning of Chunking Sequences in Cognition and Behavior.

Fonollosa J, Neftci E, Rabinovich M.

PLoS Comput Biol. 2015 Nov 19;11(11):e1004592. doi: 10.1371/journal.pcbi.1004592. eCollection 2015 Nov.

5.

Event-driven contrastive divergence: neural sampling foundations.

Neftci E, Das S, Pedroni B, Kreutz-Delgado K, Cauwenberghs G.

Front Neurosci. 2015 Mar 31;9:104. doi: 10.3389/fnins.2015.00104. eCollection 2015. No abstract available.

6.

PyNCS: a microkernel for high-level definition and configuration of neuromorphic electronic systems.

Stefanini F, Neftci EO, Sheik S, Indiveri G.

Front Neuroinform. 2014 Aug 29;8:73. doi: 10.3389/fninf.2014.00073. eCollection 2014.

7.

Event-driven contrastive divergence for spiking neuromorphic systems.

Neftci E, Das S, Pedroni B, Kreutz-Delgado K, Cauwenberghs G.

Front Neurosci. 2014 Jan 30;7:272. doi: 10.3389/fnins.2013.00272. eCollection 2013.

8.

Synthesizing cognition in neuromorphic electronic systems.

Neftci E, Binas J, Rutishauser U, Chicca E, Indiveri G, Douglas RJ.

Proc Natl Acad Sci U S A. 2013 Sep 10;110(37):E3468-76. doi: 10.1073/pnas.1212083110. Epub 2013 Jul 22.

9.

Dynamic state and parameter estimation applied to neuromorphic systems.

Neftci EO, Toth B, Indiveri G, Abarbanel HD.

Neural Comput. 2012 Jul;24(7):1669-94. doi: 10.1162/NECO_a_00293. Epub 2012 Mar 19.

PMID:
22428591
10.

A systematic method for configuring VLSI networks of spiking neurons.

Neftci E, Chicca E, Indiveri G, Douglas R.

Neural Comput. 2011 Oct;23(10):2457-97. doi: 10.1162/NECO_a_00182. Epub 2011 Jul 6.

PMID:
21732859

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