Abstract
Neurons recorded in behaving animals often do not discernibly respond to sensory input and are not overtly task-modulated. These non-classically responsive neurons are difficult to interpret and are typically neglected from analysis, confounding attempts to connect neural activity to perception and behavior. Here, we describe a trial-by-trial, spike-timing-based algorithm to reveal the coding capacities of these neurons in auditory and frontal cortex of behaving rats. Classically responsive and non-classically responsive cells contained significant information about sensory stimuli and behavioral decisions. Stimulus category was more accurately represented in frontal cortex than auditory cortex, via ensembles of non-classically responsive cells coordinating the behavioral meaning of spike timings on correct but not error trials. This unbiased approach allows the contribution of all recorded neurons - particularly those without obvious task-related, trial-averaged firing rate modulation - to be assessed for behavioral relevance on single trials.
Original language | English (US) |
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Journal | eLife |
Volume | 8 |
DOIs | |
State | Published - Jan 28 2019 |
Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Neuroscience(all)
- Biochemistry, Genetics and Molecular Biology(all)
- Immunology and Microbiology(all)
Keywords
- behavior
- computational biology
- cortex
- decoding
- neuroscience
- rat
- systems biology