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

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

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