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Related Concept Videos

Long-term Potentiation01:25

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 Potentiation01:35

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.
Neuroplasticity01:01

Neuroplasticity

Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.

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Related Experiment Video

Updated: Jun 6, 2026

Ex Vivo Optogenetic Interrogation of Long-Range Synaptic Transmission and Plasticity from Medial Prefrontal Cortex to Lateral Entorhinal Cortex
11:31

Ex Vivo Optogenetic Interrogation of Long-Range Synaptic Transmission and Plasticity from Medial Prefrontal Cortex to Lateral Entorhinal Cortex

Published on: February 25, 2022

Spike-timing dependent plasticity and the cognitive map.

Daniel Bush1, Andrew Philippides, Phil Husbands

  • 1Department of Physics and Astronomy, University of California Los Angeles Los Angeles, CA, USA.

Frontiers in Computational Neuroscience
|November 10, 2010
PubMed
Summary
This summary is machine-generated.

This study shows that spike-timing dependent plasticity (STDP) and theta-coded neural dynamics can rapidly form a cognitive map in the hippocampus, aligning with previous models of spatial learning.

Keywords:
STDPauto-associative networkhippocampusnavigationphase precessionspatial memorysynaptic plasticity

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Cognitive Science

Background:

  • The hippocampus is hypothesized to function as a cognitive map, with place cells encoding spatial locations.
  • Previous models used rate-coded synaptic plasticity for spatial learning, but empirical data suggests spike-timing dependent plasticity (STDP) also plays a role.
  • Theta-coded temporal correlations and phase precession in place cell activity are observed in vivo.

Purpose of the Study:

  • To investigate the compatibility of STDP and theta-coded neural dynamics with cognitive map theory.
  • To determine if STDP can support rate-coded Hebbian learning.
  • To model the rapid development of a cognitive map using STDP and theta-coded activity.

Main Methods:

  • Developed an STDP rule based on hippocampal data.
  • Utilized a spiking recurrent neural network incorporating the STDP rule and theta-coded neural activity.
  • Simulated exploration of an environment with overlapping place fields.

Main Results:

  • Demonstrated that the STDP rule can mediate rate-coded Hebbian learning under stochastic activity.
  • Showed that the spiking neural network rapidly developed a cognitive map during exploration.
  • Established compatibility between STDP, phase precession, and rate-coded cognitive map models.

Conclusions:

  • Spike-timing dependent plasticity (STDP) and theta-coded neural dynamics are compatible with cognitive map development in the hippocampus.
  • These mechanisms can support rapid spatial learning and map formation.
  • Findings reconcile empirical observations with established computational models of spatial memory.