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Related Concept Videos

Neural Circuits01:25

Neural Circuits

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...
Neuronal Communication01:28

Neuronal Communication

Neurons, the fundamental units of the brain and nervous system, communicate through complex electrochemical signals that underpin all cognitive and bodily functions. This communication is primarily facilitated by a process involving the generation and propagation of an action potential along the axon of the neuron. When the internal electrical charge of a neuron surpasses a certain threshold, an action potential is triggered. This rapid change in voltage travels swiftly along the axon to the...
Neurons: The Axon01:21

Neurons: The Axon

Axons are long, cytoplasmic processes of nerve cells capable of propagating electrical impulses known as action potentials. The cytoplasm or axoplasm of an axon contains neurofibrils, neurotubules, small vesicles, lysosomes, mitochondria, and various enzymes, all encased within the axolemma, the plasma membrane of the axon.
The axon attaches to the cell body at a cone-shaped elevation called the axon hillock. The initial part of the axon, closest to the hillock, is known as the initial segment.
Electrical Synapses01:28

Electrical Synapses

Electrical synapses found in all nervous systems play important and unique roles. In these synapses, the presynaptic and postsynaptic membranes are very close together (3.5 nm) and are actually physically connected by channel proteins forming gap junctions.
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Neurons as Communicators of the Brain01:22

Neurons as Communicators of the Brain

Neurons, the fundamental units of the brain and nervous system, function as the primary transmitters of information throughout the body. Their ability to communicate through electrical and chemical signals is vital for every bodily function, from regulating the heartbeat to processing complex thoughts. Each neuron has three main components: the cell body (soma), dendrites, and an axon, each specialized to facilitate swift and efficient neural communication.
Cell Body
The cell body, also known...
Chemical Synapses01:26

Chemical Synapses

Chemical synapses are specialized sites between two neurons or between a neuron and a non-neuronal cell like a muscle, glandular or sensory cell.
Because chemical synapses depend on the release of neurotransmitter molecules from synaptic vesicles to pass on their signal, there is an approximately one millisecond delay between when the axon potential reaches the presynaptic terminal and when the neurotransmitter leads to opening of postsynaptic ion channels. Additionally, this signaling is...

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Neuron-synapse IC chip-set for large-scale chaotic neural networks.

Y Horio1, K Aihara, O Yamamoto

  • 1Dept. of Electron. Eng., Tokyo Denki Univ., Japan.

IEEE Transactions on Neural Networks
|February 5, 2008
PubMed
Summary

We developed a novel neuron-synapse integrated circuit (IC) chip-set for large-scale chaotic neural networks. This scalable hardware enables complex chaotic dynamics simulation for advanced AI research.

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Area of Science:

  • Neuromorphic Engineering
  • Analog Circuit Design
  • Digital Circuit Design

Background:

  • Chaotic neural networks (CNNs) offer unique computational capabilities but require significant hardware resources.
  • Implementing large-scale CNNs with high fidelity and scalability presents a major engineering challenge.

Purpose of the Study:

  • To propose and validate a novel neuron-synapse integrated circuit (IC) chip-set for constructing large-scale chaotic neural networks.
  • To enable the faithful reproduction of complex chaotic dynamics using analog and digital circuit techniques.

Main Methods:

  • Switched-capacitor (SC) circuit techniques were employed to implement a three-internal-state transiently-chaotic neural network model.
  • A digital synapse chip with a memory-based architecture was designed for rapid weighted summation calculations.
  • Both SC neuron and digital synapse circuits were fabricated as ICs and extensively tested.

Main Results:

  • The SC chaotic neuron chip accurately reproduces complex chaotic dynamics using continuous analog state variables.
  • Digital control of model parameters was achieved via programmable capacitive arrays.
  • The fabricated chip-set demonstrated successful function and performance for large-scale CNNs.

Conclusions:

  • The proposed neuron-synapse IC chip-set provides a scalable and reconfigurable platform for building large-scale chaotic neural networks.
  • This hardware advancement facilitates the exploration of complex dynamics in systems with up to 10,000 neurons and 10,000^2 synaptic connections.