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Romano, S. A.

Publications and source records attributed to Romano, S. A..

3 recordsLinked to original sources

Acquisition of non-olfactory encoding improves odour discrimination in olfactory cortex

Primary sensory cortices, initially considered elementary encoders of physicochemical attributes of environmental stimuli, are now known to be modulated by other aspects of experience, such as attentional state and internal expectations 1-3, movement-related signals 4-7 and spatial information 2, 8, 9. However, the specific role of these signals in cortical sensory processing is not fully understood 10. Here we reveal multiple and diverse non-olfactory responses in the primary olfactory (piriform) cortex (PCx), which dynamically enhance PCx odour discrimination according to behavioural demands. We designed a behavioural task using a virtual reality environment and performed recordings in PCx neurons. In this task, mice were trained to associate specific odours with visual contexts in order to receive a reward. We found that learning shifts PCx activity from encoding solely odour identity to a more complex regime. In this regime, positional, contextual, and associative responses emerge on odour-responsive neurons that thus become mixed-selective. Contextual information is sustained in PCx activity of expert animals, specifically when visual context identity is needed to solve the task. After learning, odours are better decoded from PCx activity when mice are engaged in the task and when odours are presented within a rewarded context. This enhancement of PCx olfactory processing is reliant on the acquired mixed-selectivity. Thus, the integration of extra-sensory inputs within primary sensory cortices can encode the behavioural relevance of encountered stimuli while improving sensory processing.

neuroscience↗

Cholinergic modulation of dentate gyrus processing through dynamic reconfiguration of inhibitory circuits

The dentate gyrus (DG) of the hippocampus plays a key role in memory formation and it is known to be modulated by septal projections. By performing electrophysiology and optogenetics we evaluated the role of cholinergic modulation in the processing of afferent inputs in the DG. We showed that mature granule cells (GCs), but not adult-born immature neurons, have increased responses to afferent perforant path stimuli upon cholinergic modulation. This is due to a highly precise reconfiguration of inhibitory circuits, differentially affecting Parvalbumin and Somatostatin interneurons, resulting in a nicotinic-dependent perisomatic disinhibition of GCs. This circuit reorganization provides a mechanism by which mature GCs could escape the strong inhibition they receive, creating a window of opportunity for plasticity. Indeed, coincident activation of perforant path inputs with optogenetic release of acetylcholine produced a long-term potentiated response in GCs, essential for memory formation.

neuroscience↗

A computational toolbox and step-by-step tutorial for the analysis of neuronal population dynamics in calcium imaging data

The development of new imaging and optogenetics techniques to study the dynamics of large neuronal circuits is generating datasets of unprecedented volume and complexity, demanding the development of appropriate analysis tools. We present a tutorial for the use of a comprehensive computational toolbox for the analysis of neuronal population activity imaging. It consists of tools for image pre-processing and segmentation, estimation of significant single-neuron single-trial signals, mapping event-related neuronal responses, detection of activity-correlated neuronal clusters, exploration of population dynamics, and analysis of clusters features against surrogate control datasets. They are integrated in a modular and versatile processing pipeline, adaptable to different needs. The clustering module is capable of detecting flexible, dynamically activated neuronal assemblies, consistent with the distributed population coding of the brain. We demonstrate the suitability of the toolbox for a variety of calcium imaging datasets, and provide a case study to explain its implementation.

neuroscience↗