Neuromorphic Computing

Neuromorphic computing involves designing hardware architectures that mimic the structure and functionality of biological neural networks. Here’s a general overview of how neural networks can be mapped to neuromorphic hardware: Overall, mapping neural networks to neuromorphic hardware involves designing efficient algorithms, leveraging hardware-specific features, and utilizing specialized software tools to harness the full potential of… Continue reading Neuromorphic Computing

Biohybrid Devices

Biological tissue-artificial hybrid devices, also known as biohybrid systems, represent a fascinating intersection of biological and artificial components. These devices combine living biological tissues or cells with synthetic or electronic components to create functional systems with unique capabilities. Here’s an overview of biohybrid devices, their applications, challenges, and examples: Biohybrid Devices Fundamentals: Challenges and Considerations:… Continue reading Biohybrid Devices

Neuromorphic Computing and Cloning of Brain Architecture in CPUs

Artificial Neurons Fundamentals: Neuromorphic Computing: Cloning Brain Architecture in CPUs: Software and Hardware Tools for Artificial Neurons and Neuromorphic Computing: These tools, platforms, and technologies contribute to the advancement of artificial neurons, neuromorphic computing, and brain-inspired architectures, bridging the gap between biological neural networks and computational models for diverse applications in AI, robotics, neuroscience, and… Continue reading Neuromorphic Computing and Cloning of Brain Architecture in CPUs

Getting Started with EEG Neurofeedback (Second Edition)

The long-awaited update to Demos’s classic book for the practitioner looking to add neurofeedback. Neurofeedback training combines the principles of complementary medicine with the power of electronics. This book provides lucid explanations of the mechanisms underlying neurofeedback as well as the research history that led to its implementation. Essential for all clinicians in this field,… Continue reading Getting Started with EEG Neurofeedback (Second Edition)

Brain Computer Interface EEG Signal Processing

Brain Computer Interface: EEG Signal Processing discusses electroencephalogram (EEG) signal processing using effective methodology and algorithms. This book provides a basic introduction to EEG and a classification of different components present in EEG. It also helps the reader to understand the scope of processing EEG signals and their associated applications. Further, it covers specific aspects… Continue reading Brain Computer Interface EEG Signal Processing

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Synthetic Biology Open Language (SBOL) version 3.1.0

Journal of Integrative Bioinformatics ISSN: 1613-4516 Editors-in-chief: Falk Schreiber, Ralf Hofestädt Edited by: Jan Baumbach, Ming Chen, Yuriy Orlov, Jens Allmer Managing Editor: Björn Sommer Editorial Board: Alejandro Giorgetti, Andrew Harrison, Aleksey Kochetov, Jens Krüger, Qi Ma, Hiroshi Matsuno, Chanchal K. Mitra, Josch K. Pauling, Chris Rawlings, Florentino Fdez-Riverola, Paolo Romano, Richard Röttger, Alban Shoshi,… Continue reading Synthetic Biology Open Language (SBOL) version 3.1.0

Introduction to Neuroscience | Brain and Cognitive Sciences | MIT OpenCourseWare

https://ocw.mit.edu/courses/9-01-introduction-to-neuroscience-fall-2007/ This course is an introduction to the mammalian nervous system, with emphasis on the structure and function of the human brain. Topics include the function of nerve cells, sensory systems, control of movement, learning and memory, and diseases of the brain. Cortical area 17 also known as the primary visual cortex of the brain… Continue reading Introduction to Neuroscience | Brain and Cognitive Sciences | MIT OpenCourseWare