Cited by 674Neurogenesis and neuroplasticity mechanismsMemory and Neural MechanismsNeuroscience and Neuropharmacology Research

Excitation-Neurogenesis Coupling in Adult Neural Stem/Progenitor Cells

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Deisseroth, Karl, Singla, Sheela, Toda, Hiroki, Monje, Michelle, Palmer, Theo D, Malenka, Robert C·2004·Neuron

Abstract

A wide variety of in vivo manipulations influence neurogenesis in the adult hippocampus. It is not known, however, if adult neural stem/progenitor cells (NPCs) can intrinsically sense excitatory neural activity and thereby implement a direct coupling between excitation and neurogenesis. Moreover, the theoretical significance of activity-dependent neurogenesis in hippocampal-type memory processing networks has not been explored. Here we demonstrate that excitatory stimuli act directly on adult hippocampal NPCs to favor neuron production. The excitation is sensed via Ca(v)1.2/1.3 (L-type) Ca(2+) channels and NMDA receptors on the proliferating precursors. Excitation through this pathway acts to inhibit expression of the glial fate genes Hes1 and Id2 and increase expression of NeuroD, a positive regulator of neuronal differentiation. These activity-sensing properties of the adult NPCs, when applied as an "excitation-neurogenesis coupling rule" within a Hebbian neural network, predict significant advantages for both the temporary storage and the clearance of memories.

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Crossref · 10.1016/s0896-6273(04)00266-1

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  • The dynamic networks method mirrors the way the hippocampus in the human brain stores new memory through the formation of new neurons.

    “The dynamic networks method mirrors the way the hippocampus in the human brain stores new memory through the formation of new neurons [93].”

    From Human-inspired Perspectives: A Survey on AI Long-term Memory (2024) · cites this paper as [93]

  • Compared to non-parametric memory, the characteristics of parametric memory storing information implicitly within AI models are more akin to how the human brain produces new neurons or undergoes chemical changes.

    “Furthermore, compared to non-parametric memory, the characteristics of parametric memory storing information implicitly within AI models are more akin to how the human brain produces new neurons or undergoes chemical changes [91, 93, 293, 94].”

    From Human-inspired Perspectives: A Survey on AI Long-term Memory (2024) · cites this paper as [93]

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Authors
Deisseroth, K., Singla, S., Toda, H., Monje, M., Palmer, T. D., & Malenka, R. C.
Affiliations
Stanford Medicine (US)
Corresponding author
  • Deisseroth, Karl
  • Malenka, Robert C
Venue
Neuron
Publisher
Elsevier BV
Published
2004-05
Volume
42
Issue
4
Pages
535-552
ISSN
0896-6273 (ISSN-L)
OpenAlex
W2007095775
Cited by
674
References
5
Citations by year
2026: 5 · 2025: 13 · 2024: 13 · 2023: 24 · 2022: 20 · 2021: 27 · 2020: 20 · 2019: 20 · 2018: 26 · 2017: 28 · 2016: 31 · 2015: 32 · 2014: 31 · 2013: 47 · 2012: 42
FWCI
10.54
Type
journal article
Language
en
Open access
Locations
  • Neuron (publishedVersion)
  • PubMed (publishedVersion)
Funders
Stanford Bio-X
Topics
  • Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
Keywords
adult neurogenesis, neural stem/progenitor cells, hippocampus, L-type calcium channels, NMDA receptor, Hes1, Id2, neurogenic differentiation, neuronal differentiation, Hebbian learning, memory storage, activity-dependent gene expression
MeSH terms
Transcription Factor HES-1, Animals, Animals, Newborn, Cell Differentiation, Cells, Cultured, DNA-Binding Proteins, Female, Hippocampus, Microtubule-Associated Proteins, Nerve Net, Nerve Tissue Proteins, Synaptic Transmission, Neuronal Plasticity, Neurons, Rats, Inbred F344, Repressor Proteins, Stem Cells, Transcription Factors, Receptors, N-Methyl-D-Aspartate, Rats, Sprague-Dawley, Homeodomain Proteins, Gene Expression Regulation, Developmental, Excitatory Postsynaptic Potentials, Calcium Channels, L-Type, Rats, Basic Helix-Loop-Helix Proteins, Basic Helix-Loop-Helix Transcription Factors, Inhibitor of Differentiation Protein 2

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