A convolutional neural-network framework for modelling auditory sensory cells and synapses

In classical computational neuroscience, analytical model descriptions are derived from neuronal recordings to mimic the underlying biological system. These neuronal models are typically slow to compute and cannot be integrated within large-scale neuronal simulation frameworks. We present a hybrid, machine-learning and computational-neuroscience approach that transforms analytical models of sensory neurons and synapses into deep-neural-network (DNN) neuronal units with the same biophysical properties. Our DNN-model architecture comprises parallel and differentiable equations that can be used for backpropagation in neuro-engineering applications, and offers a simulation run-time improvement factor of 70 and 280 on CPU or GPU systems respectively. We focussed our development on auditory neurons and synapses, and show that our DNN-model architecture can be extended to a variety of existing analytical models. We describe how our approach for auditory models can be applied to other neuron and synapse types to help accelerate the development of large-scale brain networks and DNN-based treatments of the pathological system.

Niemiecka Republika Federalna jako azyl dla nazistowskich zbrodniarzy wojennych. Analiza wybranych aspektów ścigania i skuteczności karania

West Germany had to come to terms with its wartime past in order to function on the international arena. This topic was also widely commented on in Polish press. Poland, which was one of the countries most affected by the extermination policy of Nazi Germany, was inevitably interested in holding the Nazis accountable for their crimes. Moreover, the authorities of the People’s Republic of Poland wanted German crimes to be exposed all the time. In this way, the topic of Soviet crimes was avoided. Hence, the theme of punishment for Nazi war crimes was often discussed in the press. Many articles emphasised the pathological system of prosecuting the Nazis in West Germany, pointing to the post-war careers of the war criminals. Reluctance to face the past, exhibited primarily by the older generation, was also emphasised. The young generation of Germans, untouched by the war past, was to strive for moral renewal. It should be stressed that the post-war trials concerned only a small number of actual criminals, and the penalties were often disproportionate to the crimes committed.

THE CEREBRAL CHRONIC ISCHEMIA, THE INTERACTION OF CEREBRO-CARDIAL SYSTEM STUDIES. CREATION OF PATHOLOGICAL SYSTEM OF THE BRAIN

Concerning all etiological factors for the increasing factors of Chronic Cerebral Ischemia (CCI) fits into the concept of the creation of a stable pathological system in the central nervous system (CNS). Aim. The evaluation of the increasing factors for the formation of a pathological system of the brain, peculiarities of cerebro-cardial interactions with the help of parameters of quantitative electroencephalography and heart rate variability in patients with CNS of different genesis. Materials and methods. At aged from 40 to 68 were comprehensively examined 88 people in dynamics in the period from 2016 to 2019. The registration of brain biopotentials was recorded using Tredex Expert computer-based electroencephalograph. For the analysis of EEG, the amplitude-time representation of an unsteady signal and its result of continuous wavelet transform were used. In the dynamics of therapy, an analysis of quantitative EEG (qEEG), heart rate variability (HRV) (Utas UM 200) was proceed. Results and discussion. Using the method of quantitative EEG with a wavelet conversion of a stationary EEG signal [9], the formation and destruction of stable pathological systems of the brain in patients with stroke, transient cerebral ischemia (TCI), MCI grade 2 were studied. In patients with MCI grade 2, in contrast to the “healthy brain”, the role of the “central contour” of regulation of heart rate variability shifts from the vegetative centers of the medulla oblongata to the region of diencephalic formations; in the thalamus area; into the hypothalamic zone. In patients with stroke, the role of the "central contour" is shifted to the region of limbic-hippocampal formations, the diencephalic zone, the area of the thalamus and ascending thalamocortical pathways. In patients with TCI, the role of the “central contour” shifts to the cortical region (signs of cortical irritation), diencephalic zone, thalamus and descending corticothalamic pathways. Conclusions. The positive effect of therapy when acting on the formed pathological system should be considered the appearance of an EEG on the wavelet graph in parallel with the dominant frequency of the subdominant frequency in the alpha range, the movement of the “central contour” of regulation of heart rate variability in the region of the vegetative centers of the medulla oblongata.

The Use of LPC and Wavelet Transform for Influenza Disease Modeling

In this paper, we investigated the modeling of the pathological features of the influenza disease on the human speech. The presented work is novel research based on a real database and a new combination of previously used methods, discrete wavelet transform (DWT) and linear prediction coding (LPC). Three verification system experiments, Normal/Influenza, Smokers/Influenza, and Normal/Smokers, were studied. For testing the proposed pathological system, several classification scores were calculated for the recorded database, from which we can see that the proposed method achieved very high scores, particularly for the Normal with Influenza verification system. The performance of the proposed system was also compared with other published recognition systems. The experiments of these schemes show that the proposed method is superior.