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The Synapse02:47

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Neurons communicate with one another by passing on their electrical signals to other neurons. A synapse is the location where two neurons meet to exchange signals. At the synapse, the neuron that sends the signal is called the presynaptic cell, while the neuron that receives the message is called the postsynaptic cell. Note that most neurons can be both presynaptic and postsynaptic, as they both transmit and receive information.
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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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Chemical synapses are specialized sites between two neurons or between a neuron and a non-neuronal cell like a muscle, glandular or sensory cell.
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A synapse is a specialized structure where two neurons connect, allowing them to pass an electrical or chemical signal to another neuron. It is the point of communication between neurons. The term "synapse" is derived from the Greek word "synapsis," which means "conjunction." The entire process of neural communication revolves around the synapse. When activated, a neuron releases chemicals known as neurotransmitters into the synapse. These neurotransmitters cross the synapse and bind to...
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Photon-controlled memristive synapses: recent progress toward brain-inspired neuromorphic computing.

Pradnya P Patil1, Tejas Dhanalaxmi Raju1, Kiran A Nirmal1

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Optically controlled synaptic devices offer a path beyond Moore's Law limitations for faster computing. Research explores their materials, architectures, and brain-inspired applications for next-generation hardware.

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Area of Science:

  • Photonics
  • Materials Science
  • Neuroscience

Background:

  • Moore's Law is nearing its physical limits, necessitating novel computing architectures.
  • Photonic information processing, using photons, presents a promising alternative to electron-based systems.
  • Optically controlled synaptic devices are key components for high-density, low-power computing.

Purpose of the Study:

  • To provide a comprehensive overview of optically controlled synaptic devices.
  • To discuss advancements in photo-memristive mechanisms, materials, and device architectures.
  • To highlight applications in brain-inspired computing and neuromorphic hardware.

Main Methods:

  • Review of recent advancements in photo-memristive mechanisms and materials.
  • Analysis of various device architectures mimicking biological synapses.
  • Exploration of synaptic emulation strategies and performance metrics.

Main Results:

  • Diverse materials and device configurations have been explored for synaptic emulation.
  • Optically controlled synaptic devices demonstrate high bandwidth, ultrafast response, and low latency.
  • Integration into large-scale arrays for neuromorphic hardware is being pursued.

Conclusions:

  • Optically driven synaptic devices show significant potential for next-generation computing.
  • Challenges remain in enhancing device performance for practical neuromorphic hardware implementation.
  • Future research should focus on overcoming limitations and advancing optically driven synaptic technologies.