Autoassociative dynamics in the generation of sequences of hippocampal place cells

Brad E. Pfeiffer, David J. Foster

Research output: Contribution to journalArticle

66 Citations (Scopus)

Abstract

Neuronal circuits produce self-sustaining sequences of activity patterns, but the precise mechanisms remain unknown. Here we provide evidence for autoassociative dynamics in sequence generation. During sharp-wave ripple (SWR) events, hippocampal neurons express sequenced reactivations, which we show are composed of discrete attractors. Each attractor corresponds to a single location, the representation of which sharpens over the course of several milliseconds, as the reactivation focuses at that location. Subsequently, the reactivation transitions rapidly to a spatially discontiguous location. This alternation between sharpening and transition occurs repeatedly within individual SWRs and is locked to the slow-gamma (25 to 50 hertz) rhythm. These findings support theoretical notions of neural network function and reveal a fundamental discretization in the retrieval of memory in the hippocampus, together with a function for gamma oscillations in the control of attractor dynamics.

Original languageEnglish (US)
Pages (from-to)180-183
Number of pages4
JournalScience
Volume349
Issue number6244
DOIs
StatePublished - Jul 10 2015

Fingerprint

Hippocampus
Neurons
Place Cells

ASJC Scopus subject areas

  • General
  • Medicine(all)

Cite this

Autoassociative dynamics in the generation of sequences of hippocampal place cells. / Pfeiffer, Brad E.; Foster, David J.

In: Science, Vol. 349, No. 6244, 10.07.2015, p. 180-183.

Research output: Contribution to journalArticle

@article{29ffdf57eb5b4e17ac266fe45fcfa356,
title = "Autoassociative dynamics in the generation of sequences of hippocampal place cells",
abstract = "Neuronal circuits produce self-sustaining sequences of activity patterns, but the precise mechanisms remain unknown. Here we provide evidence for autoassociative dynamics in sequence generation. During sharp-wave ripple (SWR) events, hippocampal neurons express sequenced reactivations, which we show are composed of discrete attractors. Each attractor corresponds to a single location, the representation of which sharpens over the course of several milliseconds, as the reactivation focuses at that location. Subsequently, the reactivation transitions rapidly to a spatially discontiguous location. This alternation between sharpening and transition occurs repeatedly within individual SWRs and is locked to the slow-gamma (25 to 50 hertz) rhythm. These findings support theoretical notions of neural network function and reveal a fundamental discretization in the retrieval of memory in the hippocampus, together with a function for gamma oscillations in the control of attractor dynamics.",
author = "Pfeiffer, {Brad E.} and Foster, {David J.}",
year = "2015",
month = "7",
day = "10",
doi = "10.1126/science.aaa9633",
language = "English (US)",
volume = "349",
pages = "180--183",
journal = "Science",
issn = "0036-8075",
publisher = "American Association for the Advancement of Science",
number = "6244",

}

TY - JOUR

T1 - Autoassociative dynamics in the generation of sequences of hippocampal place cells

AU - Pfeiffer, Brad E.

AU - Foster, David J.

PY - 2015/7/10

Y1 - 2015/7/10

N2 - Neuronal circuits produce self-sustaining sequences of activity patterns, but the precise mechanisms remain unknown. Here we provide evidence for autoassociative dynamics in sequence generation. During sharp-wave ripple (SWR) events, hippocampal neurons express sequenced reactivations, which we show are composed of discrete attractors. Each attractor corresponds to a single location, the representation of which sharpens over the course of several milliseconds, as the reactivation focuses at that location. Subsequently, the reactivation transitions rapidly to a spatially discontiguous location. This alternation between sharpening and transition occurs repeatedly within individual SWRs and is locked to the slow-gamma (25 to 50 hertz) rhythm. These findings support theoretical notions of neural network function and reveal a fundamental discretization in the retrieval of memory in the hippocampus, together with a function for gamma oscillations in the control of attractor dynamics.

AB - Neuronal circuits produce self-sustaining sequences of activity patterns, but the precise mechanisms remain unknown. Here we provide evidence for autoassociative dynamics in sequence generation. During sharp-wave ripple (SWR) events, hippocampal neurons express sequenced reactivations, which we show are composed of discrete attractors. Each attractor corresponds to a single location, the representation of which sharpens over the course of several milliseconds, as the reactivation focuses at that location. Subsequently, the reactivation transitions rapidly to a spatially discontiguous location. This alternation between sharpening and transition occurs repeatedly within individual SWRs and is locked to the slow-gamma (25 to 50 hertz) rhythm. These findings support theoretical notions of neural network function and reveal a fundamental discretization in the retrieval of memory in the hippocampus, together with a function for gamma oscillations in the control of attractor dynamics.

UR - http://www.scopus.com/inward/record.url?scp=84937576840&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84937576840&partnerID=8YFLogxK

U2 - 10.1126/science.aaa9633

DO - 10.1126/science.aaa9633

M3 - Article

C2 - 26160946

AN - SCOPUS:84937576840

VL - 349

SP - 180

EP - 183

JO - Science

JF - Science

SN - 0036-8075

IS - 6244

ER -