Cracking the Neural Code for Sensory Perception by Combining Statistics, Intervention, and Behavior

Stefano Panzeri; Christopher D Harvey; Eugenio Piasini; Peter E Latham; Tommaso Fellin

doi:10.1016/j.neuron.2016.12.036

Cracking the Neural Code for Sensory Perception by Combining Statistics, Intervention, and Behavior

Standard

Cracking the Neural Code for Sensory Perception by Combining Statistics, Intervention, and Behavior. / Panzeri, Stefano; Harvey, Christopher D; Piasini, Eugenio; Latham, Peter E; Fellin, Tommaso.

In: NEURON, Vol. 93, No. 3, 08.02.2017, p. 491-507.

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

Harvard

Panzeri, S, Harvey, CD, Piasini, E, Latham, PE & Fellin, T 2017, 'Cracking the Neural Code for Sensory Perception by Combining Statistics, Intervention, and Behavior', NEURON, vol. 93, no. 3, pp. 491-507. https://doi.org/10.1016/j.neuron.2016.12.036

APA

Panzeri, S., Harvey, C. D., Piasini, E., Latham, P. E., & Fellin, T. (2017). Cracking the Neural Code for Sensory Perception by Combining Statistics, Intervention, and Behavior. NEURON, 93(3), 491-507. https://doi.org/10.1016/j.neuron.2016.12.036

Vancouver

Panzeri S, Harvey CD, Piasini E, Latham PE, Fellin T. Cracking the Neural Code for Sensory Perception by Combining Statistics, Intervention, and Behavior. NEURON. 2017 Feb 8;93(3):491-507. https://doi.org/10.1016/j.neuron.2016.12.036

Bibtex

@article{914f587dec7541e3bb748469d85b0729,

title = "Cracking the Neural Code for Sensory Perception by Combining Statistics, Intervention, and Behavior",

abstract = "The two basic processes underlying perceptual decisions-how neural responses encode stimuli, and how they inform behavioral choices-have mainly been studied separately. Thus, although many spatiotemporal features of neural population activity, or {"}neural codes,{"} have been shown to carry sensory information, it is often unknown whether the brain uses these features for perception. To address this issue, we propose a new framework centered on redefining the neural code as the neural features that carry sensory information used by the animal to drive appropriate behavior; that is, the features that have an intersection between sensory and choice information. We show how this framework leads to a new statistical analysis of neural activity recorded during behavior that can identify such neural codes, and we discuss how to combine intersection-based analysis of neural recordings with intervention on neural activity to determine definitively whether specific neural activity features are involved in a task.",

keywords = "Animals, Behavior, Animal/physiology, Brain/physiology, Choice Behavior, Optogenetics, Perception/physiology, Statistics as Topic",

author = "Stefano Panzeri and Harvey, {Christopher D} and Eugenio Piasini and Latham, {Peter E} and Tommaso Fellin",

year = "2017",

month = feb,

day = "8",

doi = "10.1016/j.neuron.2016.12.036",

language = "English",

volume = "93",

pages = "491--507",

journal = "NEURON",

issn = "0896-6273",

publisher = "Cell Press",

number = "3",

}

RIS

TY - JOUR

T1 - Cracking the Neural Code for Sensory Perception by Combining Statistics, Intervention, and Behavior

AU - Panzeri, Stefano

AU - Harvey, Christopher D

AU - Piasini, Eugenio

AU - Latham, Peter E

AU - Fellin, Tommaso

PY - 2017/2/8

Y1 - 2017/2/8

N2 - The two basic processes underlying perceptual decisions-how neural responses encode stimuli, and how they inform behavioral choices-have mainly been studied separately. Thus, although many spatiotemporal features of neural population activity, or "neural codes," have been shown to carry sensory information, it is often unknown whether the brain uses these features for perception. To address this issue, we propose a new framework centered on redefining the neural code as the neural features that carry sensory information used by the animal to drive appropriate behavior; that is, the features that have an intersection between sensory and choice information. We show how this framework leads to a new statistical analysis of neural activity recorded during behavior that can identify such neural codes, and we discuss how to combine intersection-based analysis of neural recordings with intervention on neural activity to determine definitively whether specific neural activity features are involved in a task.

AB - The two basic processes underlying perceptual decisions-how neural responses encode stimuli, and how they inform behavioral choices-have mainly been studied separately. Thus, although many spatiotemporal features of neural population activity, or "neural codes," have been shown to carry sensory information, it is often unknown whether the brain uses these features for perception. To address this issue, we propose a new framework centered on redefining the neural code as the neural features that carry sensory information used by the animal to drive appropriate behavior; that is, the features that have an intersection between sensory and choice information. We show how this framework leads to a new statistical analysis of neural activity recorded during behavior that can identify such neural codes, and we discuss how to combine intersection-based analysis of neural recordings with intervention on neural activity to determine definitively whether specific neural activity features are involved in a task.

KW - Animals

KW - Behavior, Animal/physiology

KW - Brain/physiology

KW - Choice Behavior

KW - Optogenetics

KW - Perception/physiology

KW - Statistics as Topic

U2 - 10.1016/j.neuron.2016.12.036

DO - 10.1016/j.neuron.2016.12.036

M3 - SCORING: Review article

C2 - 28182905

VL - 93

SP - 491

EP - 507

JO - NEURON

JF - NEURON

SN - 0896-6273

IS - 3

ER -