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Oude Lohuis, M.

Publications and source records attributed to Oude Lohuis, M..

2 recordsLinked to original sources

Direct cortical feedforward and feedback pathways differentially shape visual responses and selectively engage looped circuits

Nearly every computational account of hierarchical cortex rests on assumptions about the influence of direct cortico-cortical inputs and which neurons they act upon. Yet, disentangling their direct functional contributions from indirect, multisynaptic influences remains difficult. We examined how feedforward (FF) and feedback (FB) pathways between mouse primary visual cortex (V1) and posteromedial cortex (PM) modulate visual responses, combining retrograde labelling, multi-area two-photon imaging and optogenetic perturbations. High or low activity in either pathway was associated with both excitation and inhibition of neurons in the targeted areas. FF activity was associated with stronger additive changes, while FB activity was related to stronger multiplicative modulations and improvements in visual decoding. Optogenetic manipulations causally confirmed these asymmetries. Both pathways preferentially modulated reciprocating "looped" neurons, with FF exciting them and FB either exciting or inhibiting them. These findings demonstrate that feedforward and feedback pathways serve distinct functional roles within recurrent cortical loops.

neuroscience↗

Increased perceptual reliability reduces membrane potential variability in cortical neurons

Uncertainty is omnipresent. While humans and other animals take uncertainty into account during decision making, it remains unclear how it is represented in cortex. To investigate the effect of stimulus reliability on uncertainty representation in cortical neurons, we analyzed single unit activity data recorded in mouse PPC, while animals performed a multisensory change detection task. We further used simulation-based inference (SBI) to infer membrane potential statistics underlying the spiking activity. Our analysis shows that stimulus changes increase spiking rate while decreasing its variability. The inferred membrane potential statistics suggest that PPC neurons decrease their membrane potential variability in response to task relevant stimuli. Furthermore, more perceptually reliable stimuli lead to a larger decrease in membrane potential variability than less reliable ones. These findings suggest that individual cortical neurons track uncertainty, providing Bayesian benefits for downstream computations.

neuroscience↗