Topic: multimodal integration

Sensorimotor systems are inherently uncertain, either because of the physical nature of the sensory stimulus or because of noise within neural circuits. To curtail such limitations, sensorimotor systems combine information about the same event across different sensory sources to create robust internal representations for behavioral performance. Here we show that congruent multimodal self-movement signals are consistently found throughout populations of visual neurons, the lobula plate tangential cells (LPTCs). LPTCs monitor head and/or body rotations to support steering during locomotion1-3. W

Animal ability to orient and navigate requires selecting appropriate motor responses based on the perception and integration of the environmental information. This is the case of the optokinetic response (OKR) in D. melanogaster, where optic flow visual stimulation modulates walking or flying patterns. Despite a large body of literature on OKR, there is still limited understanding about the impact on OKR of concomitant, potentially conflictual, inputs originating from other sensory channels, as happens in the environment (multimodal integration). We combined optic flow stimulation with the pre

Understanding the complexity within neural circuits is crucial for unraveling the flexibility and the efficiency of the biological brain. In this study, we delved into the assessment of signal complexity among neuron populations within the somatosensory cortex (S1). Our approach aimed to capture population-level signal intricacies by employing highly repeatable and resolvable visual, tactile, and visuo-tactile inputs, coupled with the recording of neuronal unit activity at a remarkably high temporal resolution. Our findings unveiled an exceptionally high-dimensional state space characterising