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Parallel Processing01:20

Parallel Processing

397
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
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Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

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Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
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Organization of the Brain01:30

Organization of the Brain

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The brain is an integral component of the nervous system and serves as the center for processing sensory inputs, making decisions, and directing bodily actions. This complex organ is organized into three primary sections: the hindbrain, midbrain, and forebrain, each responsible for a range of vital functions.
Hindbrain
The hindbrain, located at the base of the brain, plays a vital role in regulating automatic processes that sustain life. It includes the medulla oblongata, which is essential for...
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Functional Brain Systems: Limbic System01:15

Functional Brain Systems: Limbic System

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The limbic system, often called the "emotional brain," is a complex set of structures located deep within the brain. The intricate network of the limbic system supports a wide range of psychological functions, from emotional regulation to memory formation and sensory processing. This functional brain region encompasses specific parts of the diencephalon and the cerebrum, integrating the higher mental functions of the cerebral cortex with the primitive emotional responses of the deep brain...
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Neural Circuits01:25

Neural Circuits

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Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
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Cognitivism01:17

Cognitivism

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Cognitive psychology emerged as a significant field in the mid-20th century. It focused on understanding humans' internal mental processes. This approach emphasizes how people perceive, remember, think, and solve problems—elements critical to human cognition.
Previously dominated by behaviorism, which prioritized observable behaviors and largely ignored mental processes, psychology transformed in the 1950s. Cognitive psychologists argue that understanding how we think and process...
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Related Experiment Video

Updated: Oct 29, 2025

A Fully Automated and Highly Versatile System for Testing Multi-cognitive Functions and Recording Neuronal Activities in Rodents
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Toward Robust Cognitive 3D Brain-Inspired Cross-Paradigm System.

Abderazek Ben Abdallah1, Khanh N Dang1,2

  • 1Adaptive Systems Laboratory, Graduate School of Computer Science and Engineering, The University of Aizu, Aizu-Wakamatsu, Japan.

Frontiers in Neuroscience
|July 12, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces R-NASH, a reliable 3D neuromorphic system for energy-efficient spiking neural network (SNN) execution. It addresses interconnect bottlenecks and reliability issues in AI hardware using 3D-ICs and Network-on-Chip technology.

Keywords:
3D-ICsfault-tolerancemapping algorithmneuromorphicspiking neural network

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Area of Science:

  • Neuromorphic Engineering
  • Computer Architecture
  • Artificial Intelligence Hardware

Background:

  • Spiking Neuromorphic systems offer energy-efficient execution of Spiking Neural Networks (SNNs).
  • SNNs require high bandwidth and precise communication latency due to interconnected neurons and spike-time encoding.
  • Existing solutions like 2D networks-on-chip and 3D-Integrated Circuits (3D-ICs) have limitations in scalability and interconnect bottlenecks.

Purpose of the Study:

  • To present the design and simulation of R-NASH, a reliable 3D digital neuromorphic system.
  • To leverage 3D-ICs and Network-on-Chip (NoC) for enhanced SNN implementation.
  • To address the reliability and fault-tolerance challenges in large-scale neuromorphic systems.

Main Methods:

  • Design of a 3D digital neuromorphic system (R-NASH) utilizing Through-Silicon-Via (TSV) technology.
  • Implementation of clustered neurons based on Network-on-Chip architecture.
  • Integration of a memory interface for host CPU communication enabling online training and inference.
  • Incorporation of fault recovery mechanisms for graceful performance degradation.

Main Results:

  • R-NASH enables high integration density and low spike delay for SNNs.
  • The system demonstrates a scalable design suitable for large-scale neuromorphic applications.
  • The platform supports online training and inference through a host CPU interface.
  • Fault recovery mechanisms ensure graceful performance degradation, enhancing system reliability.

Conclusions:

  • R-NASH effectively combines 3D-ICs and NoC to create a reliable and scalable neuromorphic platform.
  • The system addresses key challenges in SNN execution, including power efficiency, footprint, and reliability.
  • R-NASH facilitates advanced AI applications by enabling efficient and robust spiking neural network implementation.