Title
Learning Modular Sequences in the Striatum.
Abstract
The execution of habitual actions is thought to rely on the exploitation of procedural motor memories. These memories encode motor commands as organized in functional sequences with well defined boundaries in the Striatum. Here, we present a biophysical model of the striatal network composed by inhibitory medium spiny neurons (MSNs) governed by anti-hebbian STDP. We show that these two features allow for learning an arbitrary sequence through multiple exposures to cortical inputs and reproducing it under a single, non-specific excitatory drive. Our results shed light on the computational properties of biologically plausible inhibitory networks and suggest a simple, yet effective mechanism of behavioral control through striatal circuits.
Year
Venue
Field
2017
Living Machines
Medium spiny neuron,ENCODE,Neuroscience,Motor commands,Computer science,Striatum,Excitatory postsynaptic potential,Inhibitory postsynaptic potential,Modular design
DocType
Citations 
PageRank 
Conference
1
0.38
References 
Authors
2
3
Name
Order
Citations
PageRank
Giovanni Maffei1133.62
Jordi-Ysard Puigbò211.05
Paul F. M. J. Verschure3677116.64