Task-dependent optimal representations for cerebellar learning.
cerebellum
computational biology
learning
neuroscience
none
representation
systems biology
Journal
eLife
ISSN: 2050-084X
Titre abrégé: Elife
Pays: England
ID NLM: 101579614
Informations de publication
Date de publication:
06 09 2023
06 09 2023
Historique:
received:
22
08
2022
accepted:
05
09
2023
medline:
2
10
2023
pubmed:
6
9
2023
entrez:
6
9
2023
Statut:
epublish
Résumé
The cerebellar granule cell layer has inspired numerous theoretical models of neural representations that support learned behaviors, beginning with the work of Marr and Albus. In these models, granule cells form a sparse, combinatorial encoding of diverse sensorimotor inputs. Such sparse representations are optimal for learning to discriminate random stimuli. However, recent observations of dense, low-dimensional activity across granule cells have called into question the role of sparse coding in these neurons. Here, we generalize theories of cerebellar learning to determine the optimal granule cell representation for tasks beyond random stimulus discrimination, including continuous input-output transformations as required for smooth motor control. We show that for such tasks, the optimal granule cell representation is substantially denser than predicted by classical theories. Our results provide a general theory of learning in cerebellum-like systems and suggest that optimal cerebellar representations are task-dependent.
Identifiants
pubmed: 37671785
doi: 10.7554/eLife.82914
pii: 82914
pmc: PMC10541175
doi:
pii:
Types de publication
Journal Article
Research Support, U.S. Gov't, Non-P.H.S.
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : NINDS NIH HHS
ID : T32 NS064929
Pays : United States
Organisme : NINDS NIH HHS
ID : T32 NS064928
Pays : United States
Informations de copyright
© 2023, Xie et al.
Déclaration de conflit d'intérêts
MX, SM, KD, AL No competing interests declared
Références
J Neurosci. 2006 Nov 8;26(45):11786-97
pubmed: 17093099
Neuron. 2014 Aug 20;83(4):960-74
pubmed: 25123311
Nature. 2017 Apr 6;544(7648):96-100
pubmed: 28321129
J Neurophysiol. 2009 Jul;102(1):614-35
pubmed: 19357332
Neuron. 2004 Sep 2;43(5):745-57
pubmed: 15339654
J Neurophysiol. 1993 Jan;69(1):74-94
pubmed: 8433135
J Physiol. 1969 Jun;202(2):437-70
pubmed: 5784296
PLoS Comput Biol. 2013;9(3):e1002979
pubmed: 23516353
Neuroscientist. 2022 Jun;28(3):206-221
pubmed: 33559532
Annu Rev Neurosci. 2009;32:413-34
pubmed: 19555291
J Physiol. 1998 Oct 1;512 ( Pt 1):277-93
pubmed: 9729638
PLoS Comput Biol. 2012;8(4):e1002448
pubmed: 22570592
J Neurosci. 2005 Sep 7;25(36):8173-87
pubmed: 16148225
PLoS Comput Biol. 2008 Feb 29;4(2):e1000004
pubmed: 18463700
Trends Cogn Sci. 1998 Sep 1;2(9):338-47
pubmed: 21227230
Annu Rev Neurosci. 2008;31:1-24
pubmed: 18275284
J Comp Neurol. 2001 Jan 1;429(1):59-70
pubmed: 11086289
Exp Brain Res. 1966;1(1):82-101
pubmed: 5910945
Nat Neurosci. 2019 Oct;22(10):1677-1686
pubmed: 31551604
PLoS One. 2012;7(8):e42650
pubmed: 22880068
Annu Rev Neurosci. 2020 Jul 8;43:465-484
pubmed: 32283995
Annu Rev Neurosci. 2013 Jul 8;36:337-59
pubmed: 23725001
Curr Biol. 2017 May 8;27(9):1288-1302
pubmed: 28434864
Elife. 2015 Dec 29;4:
pubmed: 26714108
Nat Commun. 2021 May 18;12(1):2914
pubmed: 34006842
Nat Neurosci. 2010 Mar;13(3):369-78
pubmed: 20173745
J Neurosci. 2011 Aug 17;31(33):11772-85
pubmed: 21849538
Cerebellum. 2015 Oct;14(5):506-15
pubmed: 25735968
Curr Opin Neurobiol. 2004 Aug;14(4):481-7
pubmed: 15321069
Trends Neurosci. 2015 Jul;38(7):417-27
pubmed: 26093844
Nat Neurosci. 2014 Apr;17(4):559-68
pubmed: 24561998
Neuron. 2014 Sep 3;83(5):1213-26
pubmed: 25155954
J Neurophysiol. 1994 Aug;72(2):954-73
pubmed: 7983548
Curr Biol. 2017 Jun 5;27(11):R415-R418
pubmed: 28586665
J Neurosci. 2013 Feb 27;33(9):3844-56
pubmed: 23447596
PLoS Comput Biol. 2013;9(2):e1002919
pubmed: 23436991
Nat Neurosci. 2023 Sep;26(9):1630-1641
pubmed: 37604889
Neural Comput. 2010 Oct;22(10):2678-97
pubmed: 20608866
Neuron. 2002 May 30;34(5):797-806
pubmed: 12062025
Cell. 2019 Apr 18;177(3):669-682.e24
pubmed: 30929904
Nat Commun. 2017 Oct 24;8(1):1116
pubmed: 29061964
Nature. 2013 May 30;497(7451):585-90
pubmed: 23685452
Neuroscience. 2001;103(1):35-50
pubmed: 11311786
Elife. 2013 Feb 26;2:e00400
pubmed: 23467508
Nature. 1996 Jun 13;381(6583):607-9
pubmed: 8637596
Nature. 2004 Apr 22;428(6985):856-60
pubmed: 15103377
Neuron. 2001 Mar;29(3):717-27
pubmed: 11301030
Proc Mach Learn Res. 2019 Apr;89:1264-1274
pubmed: 31777846
Nat Neurosci. 2017 May;20(5):727-734
pubmed: 28319608
Cell. 2019 Nov 27;179(6):1382-1392.e10
pubmed: 31735497
J Neurosci. 2014 Jun 25;34(26):8800-12
pubmed: 24966380
Neuron. 2019 Feb 20;101(4):584-602
pubmed: 30790539
Nature. 2023 Jan;613(7944):543-549
pubmed: 36418404
Neuron. 2017 Mar 8;93(5):1153-1164.e7
pubmed: 28215558
Cerebellum. 2018 Oct;17(5):654-682
pubmed: 29876802
Nat Neurosci. 2014 Mar;17(3):416-22
pubmed: 24531306
J Neurophysiol. 2008 Feb;99(2):734-46
pubmed: 18094099