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Items: 1 to 20 of 106

1.

Grid cells generate an analog error-correcting code for singularly precise neural computation.

Sreenivasan S, Fiete I.

Nat Neurosci. 2011 Sep 11;14(10):1330-7. doi: 10.1038/nn.2901.

PMID:
21909090
2.

What grid cells convey about rat location.

Fiete IR, Burak Y, Brookings T.

J Neurosci. 2008 Jul 2;28(27):6858-71. doi: 10.1523/JNEUROSCI.5684-07.2008.

3.

Optimal population codes for space: grid cells outperform place cells.

Mathis A, Herz AV, Stemmler M.

Neural Comput. 2012 Sep;24(9):2280-317. doi: 10.1162/NECO_a_00319. Epub 2012 May 17.

PMID:
22594833
4.

Oscillatory neurocomputing with ring attractors: a network architecture for mapping locations in space onto patterns of neural synchrony.

Blair HT, Wu A, Cong J.

Philos Trans R Soc Lond B Biol Sci. 2013 Dec 23;369(1635):20120526. doi: 10.1098/rstb.2012.0526. Print 2014 Feb 5.

5.

A model of grid cells involving extra hippocampal path integration, and the hippocampal loop.

Gaussier P, Banquet JP, Sargolini F, Giovannangeli C, Save E, Poucet B.

J Integr Neurosci. 2007 Sep;6(3):447-76.

PMID:
17933021
6.

Temporally structured replay of neural activity in a model of entorhinal cortex, hippocampus and postsubiculum.

Hasselmo ME.

Eur J Neurosci. 2008 Oct;28(7):1301-15. doi: 10.1111/j.1460-9568.2008.06437.x.

7.

Environmental boundaries as an error correction mechanism for grid cells.

Hardcastle K, Ganguli S, Giocomo LM.

Neuron. 2015 May 6;86(3):827-39. doi: 10.1016/j.neuron.2015.03.039. Epub 2015 Apr 16.

8.

Simulation of Code Spectrum and Code Flow of Cultured Neuronal Networks.

Tamura S, Nishitani Y, Hosokawa C, Miyoshi T, Sawai H.

Comput Intell Neurosci. 2016;2016:7186092. doi: 10.1155/2016/7186092. Epub 2016 Apr 27.

9.

Robust path integration in the entorhinal grid cell system with hippocampal feed-back.

Samu D, Eros P, Ujfalussy B, Kiss T.

Biol Cybern. 2009 Jul;101(1):19-34. doi: 10.1007/s00422-009-0311-z. Epub 2009 Apr 21.

PMID:
19381679
10.

Grid cells: the position code, neural network models of activity, and the problem of learning.

Welinder PE, Burak Y, Fiete IR.

Hippocampus. 2008;18(12):1283-300. doi: 10.1002/hipo.20519. Review.

PMID:
19021263
11.

Encoding binary neural codes in networks of threshold-linear neurons.

Curto C, Degeratu A, Itskov V.

Neural Comput. 2013 Nov;25(11):2858-903. doi: 10.1162/NECO_a_00504. Epub 2013 Jul 29.

PMID:
23895048
12.
13.

Accurate path integration in continuous attractor network models of grid cells.

Burak Y, Fiete IR.

PLoS Comput Biol. 2009 Feb;5(2):e1000291. doi: 10.1371/journal.pcbi.1000291. Epub 2009 Feb 20.

14.

Phase precession of grid cells in a network model without external pacemaker.

Thurley K, Hellmundt F, Leibold C.

Hippocampus. 2013 Sep;23(9):786-96. doi: 10.1002/hipo.22133. Epub 2013 May 23.

PMID:
23576429
15.

Temporal codes and computations for sensory representation and scene analysis.

Cariani PA.

IEEE Trans Neural Netw. 2004 Sep;15(5):1100-11.

PMID:
15484887
16.

Neural networks: models and neurons show hybrid vigor in real time.

Prinz AA.

Curr Biol. 2004 Aug 24;14(16):R661-2. Review.

17.

A no-go theorem for one-layer feedforward networks.

Giusti C, Itskov V.

Neural Comput. 2014 Nov;26(11):2527-40. doi: 10.1162/NECO_a_00657. Epub 2014 Aug 22.

PMID:
25149704
18.

Spatial coding and attractor dynamics of grid cells in the entorhinal cortex.

Burak Y.

Curr Opin Neurobiol. 2014 Apr;25:169-75. doi: 10.1016/j.conb.2014.01.013. Epub 2014 Feb 20. Review.

PMID:
24561907
19.

A metric for space.

Moser EI, Moser MB.

Hippocampus. 2008;18(12):1142-56. doi: 10.1002/hipo.20483. Review.

PMID:
19021254
20.

Implications of noise and neural heterogeneity for vestibulo-ocular reflex fidelity.

Hospedales TM, van Rossum MC, Graham BP, Dutia MB.

Neural Comput. 2008 Mar;20(3):756-78.

PMID:
18045014

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