Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Long-term Depression01:05

Long-term Depression

33.6K
Long-term depression, or LTD, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTD is the process of synaptic weakening that occurs over time between pre and postsynaptic neuronal connections. The synaptic weakening of LTD works in opposition to synaptic strengthening by long-term potentiation (LTP) and together are the main mechanisms that underlie learning and memory.
33.6K
Long-term Depression01:03

Long-term Depression

3.5K
Long-term depression, or LTD, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTD is the process of synaptic weakening that occurs over time between pre and postsynaptic neuronal connections. The synaptic weakening of LTD works in opposition to synaptic strengthening by long-term potentiation (LTP) and together are the main mechanisms that underlie learning and memory.
Calcium Ion Concentration Mechanism
If over...
3.5K
Neural Circuits01:25

Neural Circuits

3.1K
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...
3.1K
Integration of Synaptic Events01:28

Integration of Synaptic Events

5.2K
Synaptic integration mainly includes the summation of graded potentials. Graded potentials, regardless of their type, cause subtle alterations in membrane voltage, resulting in either depolarization or hyperpolarization. These incremental changes, when combined or summed, can propel the neuron toward its threshold. Consider, for example, a membrane experiencing a +15 mV shift, causing it to depolarize from -70 mV to -55 mV. In this scenario, graded potentials govern the membrane's ability to...
5.2K
Depressive Disorders: Etiology01:27

Depressive Disorders: Etiology

808
Depressive disorders result from a complex interplay of biological, psychological, and sociocultural factors, each contributing uniquely to the development and persistence of the condition. Understanding these factors provides critical insight into the multifaceted nature of depression.
Biological Factors in Depression
Biological predispositions significantly influence the risk of developing depressive disorders. Genetic studies highlight the role of variations in the serotonin transporter...
808
Neural Regulation01:37

Neural Regulation

43.9K
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.
43.9K

You might also read

Related Articles

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

Sort by
Same author

Egg white protein foams: formation and stabilization mechanisms, modification strategies, and applications from foods to functional materials.

Food research international (Ottawa, Ont.)·2026
Same author

Robotic-assisted versus laparoscopic esophageal hiatal hernia and anti-reflux surgery: A comprehensive systematic review and meta-analysis.

Hernia : the journal of hernias and abdominal wall surgery·2026
Same author

Dysbiosis of oral bacteriome and mycobiome associated with the severity of heart failure.

BMC oral health·2026
Same author

Precision imaging biomarkers for gout: artifact-specific spectral CT parameters for personalized differentiation of tophi in a prospective study.

Therapeutic advances in musculoskeletal disease·2026
Same author

Neural-tumor crosstalk in driving tumor metabolic reprogramming.

Biochimica et biophysica acta. Reviews on cancer·2026
Same author

Electron-conducting DNA track-mediated BiOI homojunction pre-enhanced platform for DNA walker-guided photoelectrochemical polarity inversion.

Biosensors & bioelectronics·2026

Related Experiment Video

Updated: Mar 6, 2026

Author Spotlight: Therapeutic Benefit of Closed-Loop Deep Brain Stimulation in Depression Treatment
05:19

Author Spotlight: Therapeutic Benefit of Closed-Loop Deep Brain Stimulation in Depression Treatment

Published on: July 7, 2023

3.6K

SYNAPTIC DEPRESSION IN DEEP NEURAL NETWORKS FOR SPEECH PROCESSING.

Wenhao Zhang1, Hanyu Li1, Minda Yang1

  • 1Department of Electrical Engineering, Columbia University, New York, NY, 10027.

Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference)
|March 14, 2017
PubMed
Summary
This summary is machine-generated.

Synaptic depression, a neural mechanism, improves deep neural network generalization. Modeling this biological process enhances performance in noisy conditions and under novel signal variations.

Keywords:
deep learningneural networkphoneme recognitionsynaptic depression

More Related Videos

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

2.0K
Modeling Neural Immune Signaling of Episodic and Chronic Migraine Using Spreading Depression In Vitro
16:13

Modeling Neural Immune Signaling of Episodic and Chronic Migraine Using Spreading Depression In Vitro

Published on: June 13, 2011

20.5K

Related Experiment Videos

Last Updated: Mar 6, 2026

Author Spotlight: Therapeutic Benefit of Closed-Loop Deep Brain Stimulation in Depression Treatment
05:19

Author Spotlight: Therapeutic Benefit of Closed-Loop Deep Brain Stimulation in Depression Treatment

Published on: July 7, 2023

3.6K
Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

2.0K
Modeling Neural Immune Signaling of Episodic and Chronic Migraine Using Spreading Depression In Vitro
16:13

Modeling Neural Immune Signaling of Episodic and Chronic Migraine Using Spreading Depression In Vitro

Published on: June 13, 2011

20.5K

Area of Science:

  • Computational Neuroscience
  • Artificial Intelligence
  • Machine Learning

Background:

  • Biological neurons exhibit synaptic depression, dynamically adjusting synaptic efficacy based on input.
  • Synaptic depression is crucial for normalized speech feature representation and robust biological system performance.
  • Current deep neural networks lack biologically inspired mechanisms like synaptic depression.

Purpose of the Study:

  • To model synaptic depression and integrate it into deep neural network architectures.
  • To enhance the generalization ability of deep neural networks using synaptic depression.
  • To investigate the impact of synaptic depression on network performance under noisy and novel conditions.

Main Methods:

  • Developed a computational model of synaptic depression.
  • Incorporated the synaptic depression model into the hidden layers of deep neural networks.
  • Trained and evaluated deep neural networks on phoneme classification tasks with varying noise levels.

Main Results:

  • Synaptic depression in hidden layers reduced variability in node activations due to changing background activity.
  • Deep neural networks with synaptic depression showed improved performance on noisy phoneme classification tasks unseen during training.
  • The inclusion of synaptic depression enhanced the network's ability to generalize to novel signal conditions.

Conclusions:

  • Modeling and incorporating synaptic depression into deep neural networks improves their generalization capabilities.
  • Synaptic depression offers a pathway to more biologically plausible artificial intelligence systems.
  • Further development of biologically inspired neuron models can bridge the gap between biological and artificial computing.