Topic: inverse model

The brain must differentiate between externally-generated and self-generated sensory inputs to build stable perception and generate appropriate behavior. Despite recent advances in neuroprostheses, little is known about how the brain interprets prosthetic sensory input, especially when self-generated. Here, we asked: How does the brain learn to distinguish self-generated prosthetic stimulation? To do this, we leveraged the well-understood neural pathways and behavior readouts of the vestibular system. A monkey was implanted with a vestibular prosthesis that restores sensory information via ner

Inferring the mappings between actions and sensory feedback is a fundamental aspect of brain function. These mappings are described by two types of internal models – one that transforms motor signals into predictions of sensory feedback (forward model), and one that transforms sensory goals onto the motor commands necessary to achieve those goals (inverse model). One promising theoretical framework that provides computational ground for learning and maintaining these mappings, is that of predictive processing. The functional implementation of this algorithm in cortex implies two computational