NDLI: Space coding for sensorimotor transformations can emerge through unsupervised learning

Content Provider	Springer Nature Link
Author	Filippo De Grazia, Michele Cutini, Simone Lisi, Matteo Zorzi, Marco
Copyright Year	2012
Abstract	The posterior parietal cortex (PPC) is fundamental for sensorimotor transformations because it combines multiple sensory inputs and posture signals into different spatial reference frames that drive motor programming. Here, we present a computational model mimicking the sensorimotor transformations occurring in the PPC. A recurrent neural network with one layer of hidden neurons (restricted Boltzmann machine) learned a stochastic generative model of the sensory data without supervision. After the unsupervised learning phase, the activity of the hidden neurons was used to compute a motor program (a population code on a bidimensional map) through a simple linear projection and delta rule learning. The average motor error, calculated as the difference between the expected and the computed output, was less than 3°. Importantly, analyses of the hidden neurons revealed gain-modulated visual receptive fields, thereby showing that space coding for sensorimotor transformations similar to that observed in the PPC can emerge through unsupervised learning. These results suggest that gain modulation is an efficient coding strategy to integrate visual and postural information toward the generation of motor commands.
Starting Page	141
Ending Page	146
Page Count	6
File Format	PDF
ISSN	16124782
Journal	Cognitive Processing
Volume Number	13
Issue Number	1
e-ISSN	16124790
Language	English
Publisher	Springer-Verlag
Publisher Date	2012-07-17
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Neural network Generative model Sensorimotor transformations Gain modulation Parietal cortex Neurosciences Artificial Intelligence (incl. Robotics) Behavioural Sciences
Content Type	Text
Resource Type	Article
Subject	Experimental and Cognitive Psychology Artificial Intelligence Cognitive Neuroscience Medicine

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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