Pica-Yoresa Method

Pick-Yores method: history, essence and application

The Pick-Jores method is a brain research method developed at the beginning of the 20th century by German scientists Alois Pick and Cornelius Jores. This method has become one of the key tools in the study of nervous system pathology and was used in medicine before the advent of modern neuroeducation methods.

History of the development of the method

Alois Pieck and Cornelius Jores began their work on the nervous system at the end of the 19th century. They were interested in studying pathological changes in the brain that can lead to various neurological diseases. In 1904, they introduced a new research method called the Pick-Yores method.

The essence of the method

The essence of the Pick-Yores method is that the brain is cut into thin layers, which are then stained with special solutions. This allows you to see even the smallest details of the structure of the brain and identify pathological changes in it.

Application of the method

The Pick-Yores method has become widely used in medicine to study various neurological diseases, such as Alzheimer's disease, Parkinson's disease, Gantt's disease and others. It made it possible to establish pathological changes in the brain and determine their connection with the clinical manifestations of diseases. Thanks to this method, significant discoveries have been made in the fields of neurology and psychiatry.

Currently, the Pick-Yores method has given way to more modern methods of neuroeducation, such as magnetic resonance imaging and computed tomography. However, it remains an important historical achievement in the fields of medicine and neuroscience.

Conclusion

The Pick-Yores method is one of the key methods for studying the brain, which has become the basis for many discoveries in the field of neurology and psychiatry. It made it possible to identify pathological changes in the brain and associate them with the clinical manifestations of diseases. This method has now given way to more modern neuroeducation methods, but its significance for medicine remains an important historical achievement.

The Pick-Yosida method is an algorithm for creating iterative sequences of approximations of the Hilbert transform, also called the Jessers-Pick method. The formulation of this algorithm can be found in the works of Pick 1 and Jessers-Pikka 3. It is important to remember that for understanding the algorithmic method of Jessers-Pikka, the work (0–3) is fundamental, which correctly deduces it in a precise notation language. These works denote the exact Hilbert transform H2d(a), which is the operator of shift and multiplication by two, as well as some of its properties (for example, the equalities H4 = H2 + E and H2a = aH2), which will be listed below. The properties of the Hilbert transform apparatus and the Jessens–Picas method play a key role in the comparison principle based on the Bunevich inequality, which we will consider below.

First of all, let us recall the important definitions of the concepts of the Hilbert transform (general definitions that do not take into account possible substitutions):

• H2k+1a = a, where a ∈ C[t] = C0[0, 1) (all this is reformulated in Pick’s theorem and under the condition d ≤ x

• If a = C[t], where C