Geometric Image of Neurodynamics

Germano Resconi, Robert Kozma


We know that the brain is composed of simple neural units given by dendrites, soma, and axons. Every neural unit can be modelled by electrical circuits with capacitors and adaptive resistors. To study the neural dynamic we use special Ordinary Differential Equations (ODE) whose solutions give us the behaviour or trajectory of the neural states in time. The problem with ODE is in the definition of the parameters and in the complexity of the solutions that in many cases cannot be found. The key elements that we use are the multidimensional vector spaces of the electrical charges, currents and voltages. So currents and voltages are geometric references for states in the central neural system (CNS). Any neuro –biological architecture can be modelled by an adaptive electrical circuit or neuromorphic network that relates voltage with current by conductance matrix or on the contrary by impedance matrix. Given a straight line with a change of reference we reshape the straight line in a geodetic and in a new form for the distance. The change of the reference transforms a set of variables into another so this transformation is similar to a statement in the digital computer that we associate to the software. Every change of variables can be reproduced by a similar change of voltages (currents) into currents (voltages) by conductance (impedance) matrix. We use the CNS as a material support or hardware in the digital computer to realise the wanted transformation. In conclusion geometry fuses the digital computer structure with neuromorphic computing to give efficient computation where conceptual intention is the change of the reference space , while material intention is given by the neurodynamical processes modelled by the change of the electrical charge space where we define the metric geometry and distance.


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Paper Citation

in Harvard Style

Resconi G. and Kozma R. (2012). Geometric Image of Neurodynamics . In Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 1: NCTA, (IJCCI 2012) ISBN 978-989-8565-33-4, pages 457-465. DOI: 10.5220/0004110204570465

in Bibtex Style

author={Germano Resconi and Robert Kozma},
title={Geometric Image of Neurodynamics},
booktitle={Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 1: NCTA, (IJCCI 2012)},

in EndNote Style

JO - Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 1: NCTA, (IJCCI 2012)
TI - Geometric Image of Neurodynamics
SN - 978-989-8565-33-4
AU - Resconi G.
AU - Kozma R.
PY - 2012
SP - 457
EP - 465
DO - 10.5220/0004110204570465