Omission responses in local field potentials in rat auditory cortex

Journal article

The detection of novel, low probability events in the environment is critical for survival. To perform this vital task, our brain is continuously building and updating a model of the outside world; an extensively studied phenomenon commonly referred to as predictive coding. Predictive coding posits that the brain is continuously extracting regularities from the environment to generate predictions. These predictions are then used to supress neuronal responses to redundant information, filtering those inputs, which then automatically enhances the remaining, unexpected inputs. We have recently described the ability of auditory neurons to generate predictions about expected sensory inputs by detecting their absence in an oddball paradigm using omitted tones as deviants. Here, we studied the responses of individual neurons to omitted tones by presenting individual sequences of repetitive pure tones, using both random and periodic omissions, presented at both fast and slow rates in the inferior colliculus and auditory cortex neurons of anesthetized rats. Our goal was to determine whether feature-specific dependence of these predictions exists. Results showed that omitted tones could be detected at both high (8 Hz) and slow repetition rates (2 Hz), with detection being more robust at the non-lemniscal auditory pathway.Ministerio de Ciencia, Innovación y Universidades Agencia Estatal de Investigación Foundation Ramón Areces European Union's Horizon 2020 Consejería de Educación, Junta de Castilla y LeónMinisterio de Ciencia, Innovación y UniversidadesAgencia Estatal de InvestigaciónRamón Areces FoundationEuropean Union's Horizon 2020Consejería de Educación, Junta de Castilla y Leó

Authors: Auksztulewicz, R; Rajendran, VG; Peng, F; Schnupp, JWH; Harper, NS

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: BioMed Central
• Journal: BMC Biology
• Volume: 21
• Issue: 1
• Pages: 130-130
• Article number: 130
• Publication date: 2023-05-30
• DOI: 10.1186/s12915-023-01592-4
• EISSN: 1741-7007
• ISSN: 1741-7007
• Language: English
• Keywords: Field (mathematics); Biology; Neuroscience; Local field potential; Auditory cortex