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Related Concept Videos

Sensory Memory01:14

Sensory Memory

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Sensory memory captures information from the environment in its original form for a very brief duration, just long enough to be exposed to visual, auditory, and other senses. This type of memory is detailed and rich but quickly lost unless certain strategies are employed to transfer it into short-term or long-term memory. Sensory information is continuously bombarding the human brain, yet only a small fraction is absorbed, as most of it does not significantly impact daily life. For instance,...
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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.
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Higher Mental Functions of Brain: Learning and Memory01:26

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Memory is one of the most vital higher mental functions of the brain. Memory is closely related to learning because it enables us to retain information and experiences from our past to use them in our present life. It also helps us to remember facts, events, and skills, such as riding a bike or swimming. There are two types of memory — declarative memory, which involves memorizing facts or events, and procedural memory, which enables us to remember how to do something like writing or...
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Emotionally traumatic events often lead to memories that are exceptionally vivid and enduring, sometimes persisting with remarkable clarity throughout an individual's life. A classic example of this phenomenon is a person who survives a car accident. Even years later, they may recall every detail of the event with startling accuracy — the screeching of the tires, the jarring impact, and the acrid smell of burning rubber. Such vividness contrasts sharply with how an individual...
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The somatosensory system relays sensory information from the skin, mucous membranes, limbs, and joints. Somatosensation is more familiarly known as the sense of touch. A typical somatosensory pathway includes three types of long neurons: primary, secondary, and tertiary. Primary neurons have cell bodies located near the spinal cord in groups of neurons called dorsal root ganglia. The sensory neurons of ganglia innervate designated areas of skin called dermatomes.
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Related Experiment Video

Updated: Feb 20, 2026

Recording Synaptic Plasticity in Acute Hippocampal Slices Maintained in a Small-volume Recycling-, Perfusion-, and Submersion-type Chamber System
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Short-term depression and transient memory in sensory cortex.

Grant Gillary1, Rüdiger von der Heydt1, Ernst Niebur2

  • 1Zanvyl Krieger Mind/Brain Institute and Solomon Snyder Department of Neuroscience, Johns Hopkins University, Baltimore, MD, 21218, USA.

Journal of Computational Neuroscience
|October 14, 2017
PubMed
Summary
This summary is machine-generated.

Derivative feedback networks offer a novel solution for persistent neuronal activity in sensory areas. This model explains fast stimulus encoding and slow decay, overcoming limitations of traditional models, even with short-term depression.

Keywords:
Balanced networkDerivative feedback networkPersistent neuronal activityPositive feedback networkSensory memoryShort-term depression

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Systems Neuroscience

Background:

  • Persistent neuronal activity is typically studied for short-term memory in central cortical areas.
  • Recent research indicates early sensory areas also exhibit persistent stimulus representations with rapid onset and slow decay.
  • Traditional positive feedback models fail to explain sensory persistence due to attractor dynamics and sensitivity to short-term depression.

Purpose of the Study:

  • To investigate alternative network models for implementing persistent neuronal activity in sensory systems.
  • To address the limitations of traditional positive feedback and dual time constant networks in explaining sensory persistence.
  • To explore the capabilities of derivative feedback networks for dynamic time course control.

Main Methods:

  • Analysis of traditional positive feedback models to identify limitations regarding attractor dynamics and short-term depression.
  • Evaluation of dual time constant networks, demonstrating the need for unphysiologically large input transients.
  • Modeling and analysis of derivative feedback networks, including those with differential short-term depression on feedback projections.

Main Results:

  • Positive feedback models with short-term depression lose persistence.
  • Dual time constant networks require unrealistic input transients for observed sensory dynamics.
  • Derivative feedback networks demonstrate robust persistence and dynamic time course control, even with short-term depression.

Conclusions:

  • Derivative feedback networks provide a viable mechanism for rapid stimulus encoding and sustained representation in sensory areas.
  • These networks overcome limitations of previous models, particularly concerning short-term depression and input magnitude.
  • Differential short-term depression in derivative feedback networks allows for adaptable time constants, crucial for sensory information processing.