14 Mar 2003
Research Notebook, 2003

NATURE NEUROSCIENCE

Vol. 8, pp. 1234–1241 (2005)

Received: 14 Nov 2004

Accepted: 03 Feb 2005

DOI: 10.1038/nn1588

Gamma-Band Oscillations and the Neural Correlates of Conscious Access: Evidence from Multisite Cortical Recording

Eleanor V. Marsh1, David K. Holloway2, Priya Subramaniam1,3

Abstract

We report that gamma-band (30–80 Hz) synchrony across prefrontal and parietal cortices is necessary but not sufficient for conscious access. Using simultaneous multisite local field potential recordings in 847 trials across 12 participants, we demonstrate that a secondary thalamo-cortical binding mechanism — independent of oscillatory phase — is required for stimulus awareness. These findings resolve a decade-long debate and establish a revised two-stage model of conscious access with implications for disorders of consciousness.

ConsciousnessGamma oscillationsThalamo-corticalBinding problemLFP recording

1,847

Citations

94

Altmetric

312

Citing Papers

Published: Nature Neuroscience, 2005

"From notebook to Nature — 22 years of published research."

Scroll

Biography

Professor Eleanor V. Marsh, a woman in her fifties with silver-streaked hair, photographed in a university library setting

Eleanor V. Marsh

Professor of Cognitive Neuroscience

Hartwell Chair · Department of Brain & Cognitive Sciences

Massachusetts Institute of Technology

Cognitive SystemsConsciousnessEmergent ComplexityNeural Binding

Eleanor Marsh has spent twenty-two years asking a question most neuroscientists considered settled: how does the brain bind distributed neural activity into unified conscious experience? Her 2005 Nature Neuroscience paper — the one that grew from the notebook on the left — resolved a decade-long debate by demonstrating that gamma-band synchrony is necessary but not sufficient for conscious access.

What followed was a career-defining program of research spanning multisite cortical recording, computational modeling of thalamo-cortical loops, and — most recently — the application of emergent complexity theory to disorders of consciousness. Her lab at MIT's Cognitive Systems Lab has trained 31 doctoral students, 18 of whom now hold faculty positions.

She is currently Principal Investigator on a five-year NIH BRAIN Initiative grant ($4.2M, 2023–2028) investigating predictive coding failures in minimally conscious states. The work is unfinished. That is the point.

Selected Honours

2023

William James Fellow, APS

2020

National Academy of Sciences — elected member

2018

Guggenheim Fellow in Neuroscience

2014

Presidential Early Career Award (PECASE)

2009

APA Distinguished Scientific Award

Body of Work

Publications

89 peer-reviewed papers across 22 years of inquiry. Each entry links to its DOI.

Nature Neuroscience·PNAS·Neuron·Science·Nature Reviews Neuroscience·Current Biology·Journal of Neuroscience·Cerebral Cortex·eLife·PLOS Biology·Nature Neuroscience·PNAS·Neuron·Science·Nature Reviews Neuroscience·Current Biology·Journal of Neuroscience·Cerebral Cortex·eLife·PLOS Biology·

Filter by Topic

Filter by Year

2024
1 paper
Nature Neuroscience★ High Impact

Predictive Coding Failures in Minimally Conscious States: A Computational Account

Marsh EV, Okonkwo S, Chen L, Nakamura R

DOI: 10.1038/s41593-024-01588-2
43

citations

2023
1 paper
PNAS★ High Impact

Emergent Complexity in Thalamo-Cortical Networks: Beyond the Binding Problem

Marsh EV, Ferrara M, Holloway DK

DOI: 10.1073/pnas.2309812120
128

citations

2022
1 paper
Current Biology

Anesthesia-Induced Consciousness Loss Reveals Hierarchical Cortical Dynamics

Marsh EV, Subramaniam P, Chen L

DOI: 10.1016/j.cub.2022.08.044
267

citations

2021
1 paper
Neuron★ High Impact

The Two-Stage Model of Conscious Access: A Decade of Evidence

Marsh EV

DOI: 10.1016/j.neuron.2021.04.027
412

citations

2019
1 paper
Journal of Neuroscience

Cross-Frequency Coupling as a Mechanism for Temporal Integration in Working Memory

Marsh EV, Nakamura R, Holloway DK

DOI: 10.1523/JNEUROSCI.2019-18.2019
389

citations

2017
1 paper
Nature Reviews Neuroscience★ High Impact

Thalamic Gating and the Neural Basis of Selective Attention

Marsh EV, Subramaniam P

DOI: 10.1038/nrn.2017.28
671

citations

2015
1 paper
PNAS

Decoding Conscious Perception from Multivariate Pattern Analysis of LFP Signals

Marsh EV, Chen L, Okonkwo S

534

citations

2012
1 paper
Neuron★ High Impact

Phase-Amplitude Coupling in the Human Hippocampus During Memory Encoding

Marsh EV, Holloway DK, Ferrara M

DOI: 10.1016/j.neuron.2012.09.001
892

citations

2009
1 paper
Science★ High Impact

Cortical Traveling Waves and the Spatial Code of Perceptual Experience

Marsh EV, Subramaniam P, Nakamura R

DOI: 10.1126/science.1173216
1,204

citations

2005
1 paper
Nature Neuroscience★ High Impact

Gamma-Band Oscillations and the Neural Correlates of Conscious Access: Evidence from Multisite Cortical Recording

Marsh EV, Holloway DK, Subramaniam P

DOI: 10.1038/nn1588
1,847

citations

2003
1 paper
Journal of Neuroscience

Synchronised Oscillatory Activity in Prefrontal-Parietal Networks During Visual Awareness

Marsh EV, Holloway DK

DOI: 10.1523/JNEUROSCI.0003-03.2003
743

citations

Landmark Papers

Three Papers That
Changed the Question.

Selected from 89 publications — the findings others built upon.

Speaking Engagements

Request a
Lecture.

Eleanor Marsh delivers keynotes and departmental lectures on consciousness, neural binding, and the computational basis of perception. She speaks to neuroscience departments, medical schools, philosophy conferences, and public science festivals.

Available Formats

Departmental Seminar

60–90 min, specialist audience, Q&A included

Conference Keynote

45 min, general neuroscience audience

Public Lecture

60 min, accessible to non-specialist audience

Graduate Workshop

Half-day, hands-on methodology focus

"I accept approximately 8–10 speaking invitations per year, prioritising events where the audience is genuinely grappling with the questions I study. The form below reaches me directly."

— Eleanor V. Marsh

* Required fields. Your information will only be used to respond to this request.