Work

Prediction Error Computation in Cortical Neurons Via Competition Between Bottom-up Visual Input and Recurrent Inhibition

Year: 2023

Type: article

Abstract: The predictive coding theory, although attractive, is far from being proven. Supporters of this theory agree that bottom-up sensory inputs and top-down predictions of these inputs must be compared in certain types of neurons called error neurons. Excitatory neurons in layer 2/3 (E2/3) of the primary visual cortex (V1) are ideal candidates to act as error neurons, although how these error neurons are generated is poorly understood. In this study, we aimed to gain insight into how the genetically encoded structure of canonical microcircuits in the neocortex implements the emergence of error neurons.

Source: IBRO Neuroscience Reports

DOI: 10.1016/j.ibneur.2023.08.1604

Authors: Javier Galván Fraile, Franz Scherr, José Ramasco Sukia, Anton Arkhipov, Wolfgang Maass, Claudio Rubén Mirasso Santos

Institutions: Institute for Cross-Disciplinary Physics and Complex Systems, Graz University of Technology, Allen Institute

Language: English

Topic: Visual perception and processing mechanisms

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: gold

Estimated APC paid: $1,500

OpenAlex ID: W4388362986

FWCI:

Cites:

Cited by:

Related to: 10