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
, 93
(3)
pp. 491-507.
10.1016/j.neuron.2016.12.036.
Preview |
Text
Latham_Panzeri_main_R1_submitted.pdf - Accepted Version Download (332kB) | Preview |
Preview |
Text
Latham_Figures.pdf - Accepted Version Download (688kB) | Preview |
Preview |
Text
Latham_Panzeri_SI_R1_submitted.pdf - Accepted Version Download (2MB) | Preview |
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.
| Type: | Article |
|---|---|
| Title: | Cracking the Neural Code for Sensory Perception by Combining Statistics, Intervention, and Behavior |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.neuron.2016.12.036 |
| Publisher version: | https://doi.org/10.1016/j.neuron.2016.12.036 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Science & Technology, Life Sciences & Biomedicine, Neurosciences, Neurosciences & Neurology, Decision-Making, Cortical Microstimulation, Somatosensory Cortex, Parietal Cortex, In-Vivo, Brain, Discrimination, Circuits, Neurons, Information |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Gatsby Computational Neurosci Unit |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1560898 |
Loading...
Loading...Loading...Loading...Archive Staff Only
 |
View Item |
