The Shape of Data: a Theory of the Representation of Information in the Cerebellar Cortex

被引:0
作者
Gilbert, Mike [1 ]
机构
[1] Univ Birmingham, Sch Psychol, Birmingham, W Midlands, England
关键词
Theory; Cerebellum; Learning; Memory; Purkinje cells; Parallel fibres; PURKINJE-CELLS; CLIMBING FIBERS; PARALLEL FIBERS; RECEPTIVE-FIELDS; SPIKE PAUSES; MOSSY FIBERS; ORGANIZATION; TRANSMISSION; GRANULE; CAT;
D O I
10.1007/s12311-021-01352-6
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
This paper presents a model of rate coding in the cerebellar cortex. The pathway of input to output of the cerebellum forms an anatomically repeating, functionally modular network, whose basic wiring is preserved across vertebrate taxa. Each network is bisected centrally by a functionally defined cell group, a microzone, which forms part of the cerebellar circuit. Input to a network may be from tens of thousands of concurrently active mossy fibres. The model claims to quantify the conversion of input rates into the code received by a microzone. Recoding on entry converts input rates into an internal code which is homogenised in the functional equivalent of an imaginary plane, occupied by the centrally positioned microzone. Homogenised means the code exists in any random sample of parallel fibre signals over a minimum number. The nature of the code and the regimented architecture of the cerebellar cortex mean that the threshold can be represented by space so that the threshold can be met by the physical dimensions of the Purkinje cell dendritic arbour and planar interneuron networks. As a result, the whole population of a microzone receives the same code. This is part of a mechanism which orchestrates functionally indivisible behaviour of the cerebellar circuit and is necessary for coordinated control of the output cells of the circuit. In this model, fine control of Purkinje cells is by input rates to the system and not by learning so that it is in conflict with the for-years-dominant supervised learning model.
引用
收藏
页码:976 / 986
页数:11
相关论文
共 68 条
[1]  
ALBUS J S, 1971, Mathematical Biosciences, V10, P25, DOI 10.1016/0025-5564(71)90051-4
[2]   Cerebellar Modules and Their Role as Operational Cerebellar Processing Units [J].
Apps, Richard ;
Hawkes, Richard ;
Aoki, Sho ;
Bengtsson, Fredrik ;
Brown, Amanda M. ;
Chen, Gang ;
Ebner, Timothy J. ;
Isope, Philippe ;
Jorntell, Henrik ;
Lackey, Elizabeth P. ;
Lawrenson, Charlotte ;
Lumb, Bridget ;
Schonewille, Martijn ;
Sillitoe, Roy V. ;
Spaeth, Ludovic ;
Sugihara, Izumi ;
Valera, Antoine ;
Voogd, Jan ;
Wylie, Douglas R. ;
Ruigrok, Tom J. H. .
CEREBELLUM, 2018, 17 (05) :654-682
[3]   Network Structure within the Cerebellar Input Layer Enables Lossless Sparse Encoding [J].
Billings, Guy ;
Piasini, Eugenio ;
Lorincz, Andrea ;
Nusser, Zoltan ;
Silver, R. Angus .
NEURON, 2014, 83 (04) :960-974
[4]  
BRAND S, 1976, EXP BRAIN RES, V26, P39
[5]  
Brunel N, 2004, NEURON, V43, P745, DOI 10.1016/j.neuron.2004.08.023
[6]  
CALLAWAY JC, 1995, J NEUROSCI, V15, P2777
[7]   Sparse synaptic connectivity is required for decorrelation and pattern separation in feedforward networks [J].
Cayco-Gajic, N. Alex ;
Clopath, Claudia ;
Silver, R. Angus .
NATURE COMMUNICATIONS, 2017, 8
[8]   The cerebellum linearly encodes whisker position during voluntary movement [J].
Chen, Susu ;
Augustine, George J. ;
Chadderton, Paul .
ELIFE, 2016, 5
[9]   High-frequency organization and synchrony of activity in the Purkinje cell layer of the cerebellum [J].
de Solages, Camille ;
Szapiro, German ;
Brunel, Nicolas ;
Hakim, Vincent ;
Isope, Philippe ;
Buisseret, Pierre ;
Rousseau, Charly ;
Barbour, Boris ;
Lena, Clement .
NEURON, 2008, 58 (05) :775-788
[10]   The cerebellar microcircuit as an adaptive filter: experimental and computational evidence [J].
Dean, Paul ;
Porrill, John ;
Ekerot, Carl-Fredrik ;
Jorntell, Henrik .
NATURE REVIEWS NEUROSCIENCE, 2010, 11 (01) :30-43