Sensory coding and contrast invariance emerge from the control of plastic inhibition over emergent selectivity

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • René Larisch - , Chemnitz University of Technology (Author)
  • Lorenz Gönner - , Chair of Lifespan Developmental Neuroscience, Faculty of Psychology, Chemnitz University of Technology (Author)
  • Michael Teichmann - , Chemnitz University of Technology (Author)
  • Fred H. Hamker - , Chemnitz University of Technology, Bernstein Center Computational Neuroscience Berlin (Author)

Abstract

Visual stimuli are represented by a highly efficient code in the primary visual cortex, but the development of this code is still unclear. Two distinct factors control coding efficiency: Representational efficiency, which is determined by neuronal tuning diversity, and metabolic efficiency, which is influenced by neuronal gain. How these determinants of coding efficiency are shaped during development, supported by excitatory and inhibitory plasticity, is only partially understood. We investigate a fully plastic spiking network of the primary visual cortex, building on phenomenological plasticity rules. Our results suggest that inhibitory plasticity is key to the emergence of tuning diversity and accurate input encoding. We show that inhibitory feedback (random and specific) increases the metabolic efficiency by implementing a gain control mechanism. Interestingly, this led to the spontaneous emergence of contrastinvariant tuning curves. Our findings highlight that (1) interneuron plasticity is key to the development of tuning diversity and (2) that efficient sensory representations are an emergent property of the resulting network.

Details

Original languageEnglish
Article numbere1009566
JournalPLOS computational biology
Volume17
Issue number11
Publication statusPublished - Nov 2021
Peer-reviewedYes

External IDs

PubMed 34843455
ORCID /0000-0002-2840-8791/work/143073832