Method and arrangement and computer programme with programme code means and computer programme products for the analysis of neuronal activities in neuronal areas
AssigneeSiemens Aktiengesellschaft
InventorsGustavo Deco, Norbert Galm
Life of this patent
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Abstract
In a method, arrangement and computer program for analysis of neuronal activities in neuronal areas, signals are recorded, with each signal describing the neuronal activity in one of the neuronal areas. A matchable coupling forms the basis of all signals, described by the use of matchable coupling parameters that describe the statistical relationship between the signals. Probabilities for an occurrence of the signals are determined, whereby a statistical distribution is the basis of the signals. The matchable coupling parameters are determined by optimization of the probabilities, hence matched and analyzed.
Claims14
A method for analyzing neuronal activities in neuronal areas of a living subject, comprising the steps of:
- obtaining a plurality of signals from spatially distributed neuronal areas of a living subject, said signals respectively representing neuronal activity in different ones of said neuronal areas;
- automatically electronically forming a matchable coupling of all of said signals in said plurality of signals using matchable coupling variables that describe a statistical relationship between signals in said plurality of signals that are matchably coupled;
- automatically electronically determining respective probabilities for occurrence of said signals based on a higher order statistical distribution of the occurrence of said signals;
- automatically electronically determining said matchable coupling variables by optimizing said probabilities;
- and
- automatically electronically analyzing said neuronal activity using said matchable coupling variables to produce an analysis result and making said analysis result available in a humanly perceptible form.
An arrangement for analyzing neuronal activities in neuronal areas of a living subject, comprising:
- a signal acquisition device adapted to interact with a living subject to obtain a plurality of signals from spatially distributed neuronal areas of the living subject, said signals respectively representing neuronal activity in different ones of said neuronal areas;
- and
- a computer supplied with said signals, said computer configured for electronically forming a matchable coupling of all of said signals in said plurality of signals using matchable coupling variables that describe a statistical relationship between signals in said plurality of signals that are matchably coupled, and electronically determining respective probabilities for occurrence of said signals based on a higher order statistical distribution of the occurrence of said signals, electronically determining said matchable coupling variables by optimizing said probabilities, and electronically analyzing said neuronal activity using said matchable coupling variables.
A computer-readable medium encoded with a data structure for analyzing neuronal activities in neuronal areas of a living subject from a plurality of signals obtained from spatially distributed neuronal areas of a living subject, said signals respectively representing neuronal activity in different ones of said neuronal areas, said data structure, when said medium is loaded into a computer, causing said computer to:
- form a matchable coupling of all of said signals in said plurality of signals using matchable coupling variables that describe a statistical relationship between signals in said plurality of signals that are matchably coupled;
- determine respective probabilities for occurrence of said signals based on a higher order distribution of the occurrence of said signals;
- determine said matchable coupling variables by optimizing said probabilities;
- and
- analyze said neuronal activity using said matchable coupling variables to produce an analysis result and making said analysis result available in a humanly perceptible form.
Dependencies are inferred from the claim text.