Skip to Main content Skip to Navigation
Journal articles

A neuronal device for the control of multi-step computations

Abstract : We describe the operation of a neuronal device which embodies the computational principles of the "paper-and-pencil" machine envisioned by Alan Turing. The network is based on principles of cortical organization. We develop a plausible solution to implement pointers and investigate how neuronal circuits may instantiate the basic operations involved in assigning a value to a variable (i.e., $x$ = 5), in determining whether two variables have the same value and in retrieving the value of a given variable to be accessible to other nodes of the network. We exemplify the collective function of the network in simplified arithmetic and problem solving (blocks-world) tasks.
Document type :
Journal articles
Complete list of metadata

Cited literature [57 references]  Display  Hide  Download
Contributor : Bruno Savelli Connect in order to contact the contributor
Submitted on : Tuesday, September 8, 2020 - 10:22:50 AM
Last modification on : Tuesday, May 31, 2022 - 3:10:07 AM
Long-term archiving on: : Wednesday, December 2, 2020 - 10:26:49 PM


Files produced by the author(s)


Distributed under a Creative Commons Attribution 4.0 International License




Ariel Zylberberg, Luciano Paz, Pieter R. Roelfsema, Stanislas Dehaene, Mariano Sigman. A neuronal device for the control of multi-step computations. Papers in physics, Centro Atómico Bariloche, 2013, 5, pp.050006. ⟨10.4279/PIP.050006⟩. ⟨cea-02933065⟩



Record views


Files downloads