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 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...

Long-term Potentiation

Long-term Potentiation

Long-term potentiation, or LTP, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTP is the process of synaptic strengthening that occurs over time between pre- and postsynaptic neuronal connections. The synaptic strengthening of LTP works in opposition to the synaptic weakening of long-term depression (LTD) and together are the main mechanisms that underlie learning and memory.

Long-term Potentiation

Long-term Potentiation

Long-term potentiation, or LTP, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTP is the process of synaptic strengthening that occurs over time between pre and postsynaptic neuronal connections. The synaptic strengthening of LTP works in opposition to the synaptic weakening of long-term depression (LTD) and together are the main mechanisms that underlie learning and memory.
Hebbian LTP
LTP can occur when presynaptic neurons...

Long-Term Memory

Long-Term Memory

Long-term memory is a relatively permanent type of memory, capable of storing vast amounts of information over extended periods. Its storage capacity is generally considered unlimited.
Long-term memory can be categorized into two primary types: explicit and implicit memory. Explicit memory, also known as declarative memory, involves the conscious recollection of information that we deliberately try to remember, recall, and articulate. This type of memory encompasses specific facts, events, and...

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...

The Role of Ion Channels in Neuronal Computation

The Role of Ion Channels in Neuronal Computation

A postsynaptic neuron usually receives numerous impulses from several other presynaptic neurons. The axon hillock of the postsynaptic neuron integrates all these signals and determines the likelihood of firing an action potential.
Sometimes a single EPSP is strong enough to induce an action potential in the postsynaptic neuron. However, multiple presynaptic inputs must often create EPSPs around the same time for the postsynaptic neuron to be sufficiently depolarized to fire an action potential.

You might also read

Related Articles

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

Sort by

Same author

Beyond variance: sensitivity-based dimensions in brain networks underlie individual differences in cognitive ability.

ArXiv·2026

Same author

Modeling flexible behavior with remapping-based hippocampal sequence learning.

eLife·2026

Same author

Decodability, sensitivity, and criticality measured through single-neuron perturbations.

Nature communications·2026

Same author

Distributed subthreshold representation of sharp wave-ripples by hilar mossy cells.

eLife·2025

Same author

A biological model of nonlinear dimensionality reduction.

Science advances·2025

Same author

Predicting the effect of micro-stimulation on macaque prefrontal activity based on spontaneous circuit dynamics.

Physical review research·2024

Search research articles

Related Experiment Video

Updated: May 22, 2026

Simultaneous Long-term Recordings at Two Neuronal Processing Stages in Behaving Honeybees

Simultaneous Long-term Recordings at Two Neuronal Processing Stages in Behaving Honeybees

Published on: July 21, 2014

Nearly extensive sequential memory lifetime achieved by coupled nonlinear neurons.

Taro Toyoizumi¹

¹RIKEN Brain Science Institute, Wako, Saitama 351-0198, Japan. taro.toyoizumi@brain.riken.jp

Neural Computation

|May 19, 2012

Summary

This summary is machine-generated.

This study shows that using neuron nonlinearity can extend short-term memory lifetime in neural networks. This nonlinear approach prevents noise accumulation, improving memory performance.

More Related Videos

Perspectives on Neuroscience

Perspectives on Neuroscience

Published on: July 31, 2007

Automated Multimodal Stimulation and Simultaneous Neuronal Recording from Multiple Small Organisms

Automated Multimodal Stimulation and Simultaneous Neuronal Recording from Multiple Small Organisms

Published on: March 3, 2023

Related Experiment Videos

Last Updated: May 22, 2026

Simultaneous Long-term Recordings at Two Neuronal Processing Stages in Behaving Honeybees

Simultaneous Long-term Recordings at Two Neuronal Processing Stages in Behaving Honeybees

Published on: July 21, 2014

Perspectives on Neuroscience

Perspectives on Neuroscience

Published on: July 31, 2007

Automated Multimodal Stimulation and Simultaneous Neuronal Recording from Multiple Small Organisms

Automated Multimodal Stimulation and Simultaneous Neuronal Recording from Multiple Small Organisms

Published on: March 3, 2023

Area of Science:

Neuroscience
Computational Neuroscience
Cognitive Science

Background:

Short-term memory is crucial for cognitive processes.
Neural network dynamics are known to support memory readout.
Previous memory lifetime estimations were limited to linear neuron networks.

Purpose of the Study:

To investigate if nonlinear neuron dynamics can enhance memory lifetime in neural networks.
To determine if an "extensive memory lifetime" is achievable.
To explore the mechanisms behind improved memory performance in nonlinear networks.

Main Methods:

Analysis of neural activity in networks with nonlinear neurons.
Theoretical estimation of memory lifetime bounds.
Simulations to evaluate memory performance.

Main Results:

Nonlinear neuron dynamics enable memory lifetimes approaching proportionality to network size (N).
A mechanism of noise reduction at each time step was identified.
An error-correcting property of nonlinear dynamics was demonstrated, leading to N/logN memory lifetime.

Conclusions:

Appropriate use of neuron nonlinearity can overcome limitations of linear networks for short-term memory.
Nonlinear dynamics offer an effective strategy for robust information buffering in neural systems.
This finding has implications for understanding brain function and developing artificial memory systems.