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Details

Autor(en) / Beteiligte
Titel
Cracking the Neural Code for Sensory Perception by Combining Statistics, Intervention, and Behavior
Ist Teil von
  • Neuron (Cambridge, Mass.), 2017-02, Vol.93 (3), p.491-507
Ort / Verlag
United States: Elsevier Inc
Erscheinungsjahr
2017
Link zum Volltext
Quelle
EZB-FREE-00999 freely available EZB journals
Beschreibungen/Notizen
  • 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. Panzeri et al. propose a framework to crack the neural code for perception, based on identifying features of neural recordings carrying sensory information utilized for behavior and designing interventional experiments quantifying the causal impact of these features on task performance.

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