Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Neural Regulation

Neural Regulation

Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.

Neural Circuits

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...

Neurons as Communicators of the Brain

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...

Neuronal Communication

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...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Attention and social problems are uniquely associated with academic achievement beyond overall psychopathology: multicohort replication in 3,800 participants.

Journal of child psychology and psychiatry, and allied disciplines·2026

Same author

Temporally-resolved deep learning reveals autism symptom-specific neural signatures during naturalistic social experiences.

Research square·2026

Same author

Nonergodicity and Simpson's paradox in neurocognitive dynamics of cognitive control.

Nature communications·2026

Same author

Latent brain state dynamics predict early amyloid accumulation and cognitive impairment.

bioRxiv : the preprint server for biology·2026

Same author

Ovulatory Recovery following weight loss in women with polycystic ovary syndrome and obesity: a post hoc analysis of the BAMBINI randomised controlled trial.

Human reproduction (Oxford, England)·2026

Same author

Biophysical mechanisms of default mode network function and dysfunction.

bioRxiv : the preprint server for biology·2026

Same journal

Recent Progress in on-Demand Transfer-Enabled Integration of Wavelength-Scale Light Sources.

Nanophotonics (Berlin, Germany)·2026

Same journal

Tunable skyrmion bag textures in surface phonon polariton lattices.

Nanophotonics (Berlin, Germany)·2026

Same journal

All-Optical Diffractive Operators for Rapid, Computer-Free Morphological Transformations.

Nanophotonics (Berlin, Germany)·2026

Same journal

Tunable Skyrmion, Meron, and Skyrmion Bag Textures in Surface Phonon Polariton Lattices.

Nanophotonics (Berlin, Germany)·2026

Same journal

Deep-Subwavelength Slot-Enhanced Broadband Dynamic Camouflage Metasurface Across the S, C, X, and Ku Bands.

Nanophotonics (Berlin, Germany)·2026

Same journal

Machine Learning-Driven Cooling Window Design Beyond Hyperbolic Metamaterials.

Nanophotonics (Berlin, Germany)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 5, 2026

Laser-scanning Photostimulation of Optogenetically Targeted Forebrain Circuits

Laser-scanning Photostimulation of Optogenetically Targeted Forebrain Circuits

Published on: December 27, 2013

Neural computing with coherent laser networks.

Mohammad-Ali Miri^1,2, Vinod Menon^2,3

¹Department of Physics, Queens College of the City University of New York, Queens, NY 11367, USA.

Nanophotonics (Berlin, Germany)

|December 5, 2024

Summary

This summary is machine-generated.

Coherent laser networks (CLNs) demonstrate neural computing by storing phase patterns as fixed points. Nonreciprocal coupling enhances pattern retrieval, enabling new analog processors for continuous data.

Keywords:

lasers machine learning neural networks nonlinear dynamics optical computing

More Related Videos

Laser Nanosurgery of Cerebellar Axons In Vivo

Laser Nanosurgery of Cerebellar Axons In Vivo

Published on: July 28, 2014

In vivo Optogenetic Stimulation of the Rodent Central Nervous System

In vivo Optogenetic Stimulation of the Rodent Central Nervous System

Published on: January 15, 2015

Related Experiment Videos

Last Updated: May 5, 2026

Laser-scanning Photostimulation of Optogenetically Targeted Forebrain Circuits

Laser-scanning Photostimulation of Optogenetically Targeted Forebrain Circuits

Published on: December 27, 2013

Laser Nanosurgery of Cerebellar Axons In Vivo

Laser Nanosurgery of Cerebellar Axons In Vivo

Published on: July 28, 2014

In vivo Optogenetic Stimulation of the Rodent Central Nervous System

In vivo Optogenetic Stimulation of the Rodent Central Nervous System

Published on: January 15, 2015

Area of Science:

Physics
Computer Science
Optical Engineering

Background:

Coherent laser networks (CLNs) are explored for their potential in computational tasks.
Traditional neural networks often struggle with continuous data processing.

Purpose of the Study:

To demonstrate emergent neural computing capabilities in CLNs.
To investigate pattern storage and retrieval mechanisms within CLNs.
To overcome limitations in CLN storage capacity and pattern retrieval.

Main Methods:

Harnessing the collective behavior of laser networks to store phase patterns.
Analyzing dynamical equations to identify stable fixed points representing stored information.
Implementing nonreciprocal coupling to improve pattern retrieval fidelity.

Main Results:

CLNs exhibit associative memory properties by storing and retrieving phase patterns.
Large overlap between fixed-point patterns initially limits retrieval to two images.
Nonreciprocal coupling successfully overcomes this limitation, enabling utilization of the network's full storage capacity.

Conclusions:

CLNs offer novel possibilities for neural computation as analog processors.
The dynamical model suggests a new energy-based recurrent neural network for continuous data.
This research bridges optical systems and advanced neural network architectures.