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...

Classification of Signals

Classification of Signals

In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...

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.

Classification of Neurotransmitters

Classification of Neurotransmitters

Neurotransmitters play a crucial role in the communication between neurons in the autonomic nervous system. Neurons in the autonomic nervous system can be cholinergic or adrenergic depending on the neurotransmitters synthesized. Cholinergic neurons use acetylcholine as their primary neurotransmitter. This includes all the preganglionic fibers of the sympathetic and pre- and postganglionic fibers of the parasympathetic nervous systems. In addition, neurons of the somatic nervous system also use...

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

Distinct developmental trajectories of externally and internally generated hippocampal sequences and assemblies.

Current biology : CB·2026

Same author

Unraveling the geometry of visual relational reasoning.

Scientific reports·2026

Same author

Diversity-generating retroelements for programmable targeted hypermutagenesis.

Nature biotechnology·2026

Same author

Constrained evolutionary funnels shape viral immune escape.

Proceedings of the National Academy of Sciences of the United States of America·2026

Same author

Origins and breadth of pairwise epistasis in an α-helix of β-lactamase TEM-1.

Nature communications·2026

Same author

Order parameters and phase transitions of continual learning in deep neural networks.

Proceedings of the National Academy of Sciences of the United States of America·2026

Search research articles

Related Experiment Video

Updated: Jun 5, 2026

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

Published on: March 25, 2014

Theory of spike timing-based neural classifiers.

Ran Rubin¹, Rémi Monasson, Haim Sompolinsky

¹Racah Institute of Physics, Hebrew University, 91904 Jerusalem, Israel.

Physical Review Letters

|January 15, 2011

Summary

The tempotron, a model neuron, classifies spike sequences using linear-threshold operations. Its computational capacity is finite, showing weak divergence with stimulus duration, unlike the perceptron.

Area of Science:

Computational neuroscience
Theoretical neuroscience
Machine learning

Background:

The perceptron, a foundational model in machine learning, classifies data using linear thresholds.
Understanding the computational capacity of neuronal models is crucial for advancing artificial intelligence and neuroscience.
The tempotron is a biologically plausible model neuron designed for classifying temporal spike patterns.

Purpose of the Study:

To determine the computational capacity of the tempotron model.
To analyze the influence of stimulus duration on the tempotron's performance.
To compare the tempotron's solution space with that of the perceptron.

Main Methods:

Application of statistical mechanics principles.
Utilization of extreme value theory for analysis.

More Related Videos

Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments

Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments

Published on: November 12, 2019

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

Related Experiment Videos

Last Updated: Jun 5, 2026

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

Published on: March 25, 2014

Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments

Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments

Published on: November 12, 2019

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

Derivation of system capacity in random classification tasks.

Main Results:

The tempotron's solution space comprises numerous small clusters of weight vectors.
System capacity per synapse is finite in the large size limit.
Capacity weakly diverges with stimulus duration relative to time constants.

Conclusions:

The tempotron exhibits a distinct and complex solution space compared to the perceptron.
Neuronal model capacity is influenced by temporal dynamics and stimulus characteristics.
Findings contribute to understanding the computational power of spiking neural networks.