Predictive and efficient coding in sensory learning

Suitable for:
brain researchers

Predictive and efficient coding in sensory learning

9th October 2015



The brain’s ability to spot regular and predictable events in the environment is key to survival —without it an animal would not be able to seek out rewards and avoid danger.

In this seminar, CIBF Chief Investigator Marta Garrido discusses three aspects of the neural coding that underpin this type of sensory learning:

  1. how people encode statistical regularities in their environment when their cognitive resources are taxed by other demands
  2. how violations to the “expected” evoke sensory prediction errors that engage fronto-temporal networks
  3. how these networks are disrupted when predictive processes go awry in schizophrenia and in coma

Speaker Biography: Marta Garrido is a DECRA (Discovery Early Career Researcher Award) fellow at the Queensland Brain Institute and the Centre for Advanced Imaging, and Chief Investigator in the ARC Centre of Excellence for Integrative Brain Function.

Previously, she held post-doctoral positions at the University of California in Los Angeles and University College London. She completed her PhD at UCL.

Marta’s work strives to understand how we learn about, and detect violations to statistical regularities in the environment. She and her team do this using magnetoencephalography, EEG, psychophysics and computational modelling.

Date: 3-4pm, Friday 9 October 2015

Where: Auditorium, Monash Biomedical Imaging, 770 Blackburn Road, Clayton VIC.