A compositionality machine realized by a hierarchic architecture of synfire chains.
The composition of complex behavior is thought to rely on the concurrent and sequential activation of simpler action components, or primitives. Systems of synfire chains have previously been proposed to account for either the simultaneous or the sequential aspects of compositionality; however, the compatibility of the two aspects has so far not been addressed. Moreover, the simultaneous activation of primitives has up until now only been investigated in the context of reactive computations, i.e., the perception of stimuli. In this study we demonstrate how a hierarchical organization of synfire chains is capable of generating both aspects of compositionality for proactive computations such as the generation of complex and ongoing action. To this end, we develop a network model consisting of two layers of synfire chains. Using simple drawing strokes as a visualization of abstract primitives, we map the feed-forward activity of the upper level synfire chains to motion in two-dimensional space. Our model is capable of producing drawing strokes that are combinations of primitive strokes by binding together the corresponding chains. Moreover, when the lower layer of the network is constructed in a closed-loop fashion, drawing strokes are generated sequentially. The generated pattern can be random or deterministic, depending on the connection pattern between the lower level chains. We propose quantitative measures for simultaneity and sequentiality, revealing a wide parameter range in which both aspects are fulfilled. Finally, we investigate the spiking activity of our model to propose candidate signatures of synfire chain computation in measurements of neural activity during action execution.
Honda Research Institute Offenbach, Germany.
Sven
S
Schrader
Markus
M
Diesmann
Abigail
A
Morrison
Biol Cybern. 2009 Feb;100(2):159-84
19152065
Neural Comput. 2006 Jan;18(1):45-59
16354380
PLoS Comput Biol. 2009 Jul;5(7):e1000427
19578429
J Neurophysiol. 1999 Jun;81(6):3021-33
10368417
Neural Comput. 2009 Feb;21(2):301-39
19196231
Philos Trans R Soc Lond B Biol Sci. 2000 Dec 29;355(1404):1755-69
11205339
PLoS One. 2008;3(12):e3983
19096523
J Neurophysiol. 2006 Nov;96(5):2645-52
16885517
Neuron. 2005 Aug 4;47(3):423-35
16055065
PLoS Comput Biol. 2009 Aug;5(8):e1000456
19662159
J Neurosci. 1982 Nov;2(11):1527-37
7143039
Neural Comput. 2007 Aug;19(8):2245-79
17571943
Acta Neurobiol Exp (Wars). 2004;64(2):203-7
15366253
Behav Brain Sci. 1999 Apr;22(2):253-79; discussion 280-336
11301524
Biol Cybern. 1988;60(2):121-30
3228555
Biol Cybern. 2007 Jun;96(6):577-601
17406889
Cereb Cortex. 2009 Jan;19(1):79-88
18460449
Biol Cybern. 1995;72(4):295-307
7748959
J Neurophysiol. 2007 Jun;97(6):4271-83
17182906
Nature. 1999 Dec 2;402(6761):529-33
10591212
Neural Comput. 2009 Feb;21(2):353-9
19431263
Curr Biol. 2007 Jul 3;17(13):R496-500
17610826
Neuron. 2006 Jul 6;51(1):125-34
16815337
Nature. 2010 Nov 18;468(7322):394-9
20972420
J Neurophysiol. 1993 Oct;70(4):1629-38
8283219
J Neurophysiol. 2008 Oct;100(4):2165-76
18632888
Science. 2004 Apr 23;304(5670):559-64
15105494
J Neurosci. 2002 Sep 15;22(18):8297-304
12223584
Neuroscience. 1987 Oct;23(1):39-51
3683868
J Comput Neurosci. 2007 Dec;23(3):283-99
17440800
Front Comput Neurosci. 2011 Feb 14;4:160
21415913
PLoS One. 2007 Aug 08;2(8):e723
17684568
Cereb Cortex. 2004 Aug;14(8):933-44
15142958
Proc Natl Acad Sci U S A. 2004 Jun 29;101(26):9849-54
15210971
Nature. 1996 Jun 6;381(6582):520-2
8632824
Proc Natl Acad Sci U S A. 1989 Mar;86(5):1698-702
2922407
J Neurophysiol. 2007 Dec;98(6):3648-65
17928565
PLoS Comput Biol. 2009 Dec;5(12):e1000586
19997492
J Neurosci. 1997 Aug 15;17(16):6380-90
9236246
Eur J Neurosci. 2002 Oct;16(8):1609-19
12405975
Biol Cybern. 1999 Nov;81(5-6):381-402
10592015
J Neurophysiol. 1998 Jun;79(6):2857-74
9636092
Cereb Cortex. 2003 Jan;13(1):90-9
12466220
Biol Cybern. 1996 Mar;74(3):209-23
8867467
Phys Rev E Stat Nonlin Soft Matter Phys. 2009 Nov;80(5 Pt 1):051902
20365001
J Physiol Paris. 2006 Jul-Sep;100(1-3):16-30
17081735
Clin Neurophysiol. 1999 Nov;110(11):1842-57
10576479
J Neurosci Methods. 2001 May 30;107(1-2):141-54
11389951
J Comput Neurosci. 2011 Jun;30(3):675-97
20953686
J Neurosci. 1996 Dec 1;16(23):7757-67
8922431
Ann N Y Acad Sci. 2004 Jun;1016:724-35
15313802
J Neurophysiol. 2000 Oct;84(4):1770-80
11024069
Neural Netw. 2001 Jul-Sep;14(6-7):657-73
11665761
J Comput Neurosci. 2011 Nov;31(3):509-32
21404048
Proc Natl Acad Sci U S A. 2005 Dec 20;102(51):18655-7
16339894
Neuron. 2010 Feb 25;65(4):563-76
20188660
J Neurophysiol. 2001 Feb;85(2):869-85
11160519
Proc Natl Acad Sci U S A. 1994 Aug 2;91(16):7534-8
8052615
Neuroimage. 2008 Jun;41(2):302-10
18424182
Neuroscience. 1999;89(4):1009-23
10362291
J Neurosci. 2009 Sep 9;29(36):11283-93
19741135
Neuron. 2007 Feb 1;53(3):413-25
17270737
J Neurophysiol. 2005 Oct;94(4):2275-83
16160088
J Comput Neurosci. 2005 Jan-Feb;18(1):41-53
15789168
Nat Neurosci. 2007 Jan;10(1):100-7
17173043
Nature. 2002 Sep 5;419(6902):65-70
12214232
Phys Rev E Stat Nonlin Soft Matter Phys. 2006 Jul;74(1 Pt 1):011918
16907138
J Neurosci. 1995 Oct;15(10):6461-74
7472409
Neural Comput. 2005 Aug;17(8):1776-801
15969917
J Comput Neurosci. 2004 Sep-Oct;17(2):179-201
15306739
J Neurosci. 2005 Apr 6;25(14):3661-73
15814797
Nature. 2000 Oct 12;407(6805):742-7
11048720
J Neurosci. 2008 Oct 29;28(44):11378-90
18971480
Neural Comput. 2007 Jun;19(6):1437-67
17444756
Cereb Cortex. 2007 Oct;17(10):2443-52
17220510
Exp Brain Res. 2004 Jun;156(4):422-38
15167977
Proc Natl Acad Sci U S A. 2010 Mar 2;107(9):4430-5
20160084