A5085664308- Neural dynamics and brain function
- Neuroscience and Neural Engineering
- Advanced Memory and Neural Computing
- EEG and Brain-Computer Interfaces
- Muscle activation and electromyography studies
- Psychiatry, Mental Health, Neuroscience
- Memory and Neural Mechanisms
- Neural Networks and Applications
- Modular Robots and Swarm Intelligence
- Neural Networks and Reservoir Computing
- Semantic Web and Ontologies
- Functional Brain Connectivity Studies
- Cognitive Science and Education Research
- AI-based Problem Solving and Planning
- Neurotransmitter Receptor Influence on Behavior
- Distributed systems and fault tolerance
- Foreign Language Teaching Methods
- Natural Language Processing Techniques
- Brain Tumor Detection and Classification
- Manufacturing Process and Optimization
- Topic Modeling
- Artificial Intelligence in Healthcare and Education
- Blockchain Technology Applications and Security
- Academic integrity and plagiarism
- Computability, Logic, AI Algorithms
Kazan Federal University
2015-2024
A computer vision based real-time object detection on low-power devices is economically attractive, yet a technically challenging task. The paper presents results of benchmarks popular deep neural network models, which are often used for this experiments provide insights into trade-offs between accuracy, speed, and computational efficiency MobileNetV2 SSD, CenterNet FPN, EfficientDet, YoloV5, YoloV7, YoloV7 Tiny YoloV8 models Raspberry Pi 4B, 3B NVIDIA Jetson Nano with TensorFlow Lite. We...
Turing genius anticipated current research in AI field for 65 years and stated that idea of intelligent machines “cannot be wholly ignored, because the 'intelligence' is itself emotional rather than mathematical” (Turing, 1948). The authors' work dedicated to construction or synthesis computational thinking. authors used 3 bases their work: - six thinking levels model described book “The emotion machine” (Minsky, 2007). Evolutionary psychology emotions called “Wheel emotions” (Plutchik,...
Abstract The energy efficiency of Artificial Intelligence (AI) systems is a crucial and actual issue that may have an important impact on ecological, economic technological level. Spiking Neural Networks (SNNs) are strongly suggested as valid candidates able to overcome (ANNs) in this specific contest. In study, the proposal involves review comparison consumption popular Network architectures implemented CPU GPU hardware compared with specialized memristive biological neural network human...
The effect of inhibitory management is usually underestimated in artificial control systems, using biological analogy. According to our hypothesis, the muscle hypertonus could be effectively compensated via stimulation by bio-plausible patterns. We proposed an approach for compensatory device as implementation previously presented architecture neurointerface, where (1) neuroport implemented a DAC and stimulator, (2) neuroterminal used neurosimulation set oscillator motifs on one-board...
In this work, we present a definition of neurointerface architecture combined from two main parts (1) neuroport (a hardware device) that implements neuro protocol, generated and managed by (2) neuroterminal software). The proposed was created analogy with OSI network architecture. We also the as an oscillator motif real-time neurosimulation results comparison bio-plausible motor pattern motifs square pulses 20 – 40 Hz used protocol for output measured their discomfort rate efficacy according...
This work aims at demonstrating that the neuromodulatory mechanisms control emotional states of mammals (specifically rat's brains) can be represented and re-implemented in a computational model processed by machine. In particular we specifically focus on two neuro-transmitters, serotonin dopamine, starting from their fundamental role basic cognitive processes. our specific implementation, represent simulation 'disgust-like' state based three dimensional affects or emotions, according to...
Turing genius anticipated current research in AI field for 65 years and stated that idea of intelligent machines “cannot be wholly ignored, because the 'intelligence' is itself emotional rather than mathematical” (). This second article dedicated to thinking bases. In first article, authors () created overall picture proposed framework computational thinking. They used 3 bases their work: - six levels model described book “The emotion machine” Evolutionary psychology model: “Wheel emotions”...
This work is dedicated to the review and perspective of new direction that we call "Neuropunk revolution" resembling cultural phenomenon cyberpunk. has its foundations in advances neuromorphic technologies including memristive bio-plausible simulations, BCI, neurointerfaces as well unconventional approaches AI computing general. We present current state-of-the-art our vision near future development scientific technologies. set trends view provide necessary background for generation integrate...
In this technical report we present novel results of the dopamine neuromodulation inspired modulation a polyaniline (PANI) memristive device excitatory learning STDP. Results presented in work are two experiments setup computer simulation and physical prototype experiments. We inhibitory or iSTDP as well learning.
All the time scientists need to publish results of their work in order remain relevant, meet time, criteria, and not be outside scientific community. The well-known principle “publish or perish” often forces strive for quantity, quality [1]. Along with problems authorship, paid research, fabrication results, plagiarism self-plagiarism are among most common violations. Their impact is more subtle, but no less disruptive community. The article provides an overview existing tools identifying...
Background In this study we investigate the selective compensation of paired peripheral nerves in healthy humans, focusing on distinct axonal conduction velocities different fibre types. Using associative stimulation (PAS) with adjustable parameters, aimed to modulate and compensate for neuronal activity along median nerve. Methods Six volunteers (3 male, 3 female, aged: 22–49) participated current study. We conducted 30 experiments following protocol. A pair pulses parameters were applied...
This article presents an educational blockchain simulator intended for training students and beginning developers. The was created to provide users with intuitive accessible tool learning the basic concepts mechanisms of functioning. discusses main aspects design architecture simulator, also provides a demonstration application. In addition, possibilities further development its potential as teaching research in field technologies are discussed. resulting contributes education science,...
Scientists need to publish the results of their work remain demanded and stay relevant. The well-known principle “publish or perish” often forces scientists pursue an increase in quantity, not quality. Along with problems authorship, paid research, fabrication results, plagiarism self-plagiarism are among most common violations. Their impact is more subtle, but no less destructive for scientific community. Statistics shows that reuse texts different languages very various studies....