Sensory neural codes using multiplexed temporal scales

Stefano Panzeri; Nicolas Brunel; Nikos K Logothetis; Christoph Kayser

doi:10.1016/j.tins.2009.12.001

Sensory neural codes using multiplexed temporal scales

Standard

Sensory neural codes using multiplexed temporal scales. / Panzeri, Stefano; Brunel, Nicolas; Logothetis, Nikos K; Kayser, Christoph.

In: TRENDS NEUROSCI, Vol. 33, No. 3, 03.2010, p. 111-20.

Research output: SCORING: Contribution to journal › SCORING: Review article › Research

Harvard

Panzeri, S, Brunel, N, Logothetis, NK & Kayser, C 2010, 'Sensory neural codes using multiplexed temporal scales', TRENDS NEUROSCI, vol. 33, no. 3, pp. 111-20. https://doi.org/10.1016/j.tins.2009.12.001

APA

Panzeri, S., Brunel, N., Logothetis, N. K., & Kayser, C. (2010). Sensory neural codes using multiplexed temporal scales. TRENDS NEUROSCI, 33(3), 111-20. https://doi.org/10.1016/j.tins.2009.12.001

Vancouver

Panzeri S, Brunel N, Logothetis NK, Kayser C. Sensory neural codes using multiplexed temporal scales. TRENDS NEUROSCI. 2010 Mar;33(3):111-20. https://doi.org/10.1016/j.tins.2009.12.001

Bibtex

@article{b693f21110c34f70bb825bf5f3e32302,

title = "Sensory neural codes using multiplexed temporal scales",

abstract = "Determining how neuronal activity represents sensory information is central for understanding perception. Recent work shows that neural responses at different timescales can encode different stimulus attributes, resulting in a temporal multiplexing of sensory information. Multiplexing increases the encoding capacity of neural responses, enables disambiguation of stimuli that cannot be discriminated at a single response timescale, and makes sensory representations stable to the presence of variability in the sensory world. Thus, as we discuss here, temporal multiplexing could be a key strategy used by the brain to form an information-rich and stable representation of the environment.",

keywords = "Action Potentials/physiology, Animals, Brain/physiology, Computer Simulation, Humans, Information Theory, Perception/physiology, Psychomotor Performance/physiology, Reaction Time/physiology, Sensation/physiology, Sensory Receptor Cells/physiology, Time Perception/physiology",

author = "Stefano Panzeri and Nicolas Brunel and Logothetis, {Nikos K} and Christoph Kayser",

year = "2010",

month = mar,

doi = "10.1016/j.tins.2009.12.001",

language = "English",

volume = "33",

pages = "111--20",

journal = "TRENDS NEUROSCI",

issn = "0166-2236",

publisher = "Elsevier Limited",

number = "3",

}

RIS

TY - JOUR

T1 - Sensory neural codes using multiplexed temporal scales

AU - Panzeri, Stefano

AU - Brunel, Nicolas

AU - Logothetis, Nikos K

AU - Kayser, Christoph

PY - 2010/3

Y1 - 2010/3

N2 - Determining how neuronal activity represents sensory information is central for understanding perception. Recent work shows that neural responses at different timescales can encode different stimulus attributes, resulting in a temporal multiplexing of sensory information. Multiplexing increases the encoding capacity of neural responses, enables disambiguation of stimuli that cannot be discriminated at a single response timescale, and makes sensory representations stable to the presence of variability in the sensory world. Thus, as we discuss here, temporal multiplexing could be a key strategy used by the brain to form an information-rich and stable representation of the environment.

AB - Determining how neuronal activity represents sensory information is central for understanding perception. Recent work shows that neural responses at different timescales can encode different stimulus attributes, resulting in a temporal multiplexing of sensory information. Multiplexing increases the encoding capacity of neural responses, enables disambiguation of stimuli that cannot be discriminated at a single response timescale, and makes sensory representations stable to the presence of variability in the sensory world. Thus, as we discuss here, temporal multiplexing could be a key strategy used by the brain to form an information-rich and stable representation of the environment.

KW - Action Potentials/physiology

KW - Animals

KW - Brain/physiology

KW - Computer Simulation

KW - Humans

KW - Information Theory

KW - Perception/physiology

KW - Psychomotor Performance/physiology

KW - Reaction Time/physiology

KW - Sensation/physiology

KW - Sensory Receptor Cells/physiology

KW - Time Perception/physiology

U2 - 10.1016/j.tins.2009.12.001

DO - 10.1016/j.tins.2009.12.001

M3 - SCORING: Review article

C2 - 20045201

VL - 33

SP - 111

EP - 120

JO - TRENDS NEUROSCI

JF - TRENDS NEUROSCI

SN - 0166-2236

IS - 3

ER -