Concept

Neural facilitation

Related publications (14)

What is next? Predictable visual sequences are encoded with anticipatory biases and reduced neural responses

Objects in motion follow predictable trajectories that the brain can easily anticipate. We investigated the underlying neural mechanisms, focusing on a form of representational momentum (RM), whereby the final state of a rotating object is misperceived along its future trajectory. Participants viewed two simultaneous streams of oriented gratings, one rotating predictably and the other random, and were instructed to attend to one of the two. Using electroencephalogram (EEG) steady-state visual evoked potenti

2026

Correlative light–electron microscopy reveals fundamentally different axonal architectures for fast and modulatory transmission

We used correlative light and focused ion beam–scanning electron microscopy (FIBSEM) to characterise the ultrastructural organisation of neuromodulatory axons in the upper layers of the adult mouse somatosensory cortex. Cholinergic projections from the basal forebrain and serotonergic axons from the raphe nucleus were reconstructed, enabling quantitative analysis of synapse and vesicle distribution. Consistent with prior work, these axons formed only small and morphologically indistinct synaptic specialisat

bioRxiv2026

TRAINING SESSION INTERVALS SHAPE FUNCTIONAL CONNECTIVITY IN SPATIAL LEARNING: A BRAIN-WIDE ANALYSIS

A substantial body of research indicates that spaced training, characterized by longer inter-trial intervals between training epochs, consistently outperforms massed training in promoting durable memory. To investigate the neural mechanisms underlying this difference, we quantified c-Fos expression across 126 brain regions and mapped network activity following both spatial and cue based learning under massed and spaced training protocols. While both training regimens (spaced and massed) and memory types (sp

bioRxiv2026

Motor-evoked modules obtained from transcranial magnetic stimulation

As a noninvasive neuromodulation technique, transcranial magnetic stimulation (TMS) offers insights into motor system physiology through motor-evoked potentials (MEPs). In the present study, we applied a factorization approach to multimuscle MEPs to characterize the pattern-level structure of corticospinal outputs beyond conventional per-muscle amplitude measures. To evaluate this approach, we analyzed multimuscle MEP datasets from three experiments in healthy young adults focusing on different stimulus par

American Physiological Society2026

Selector‐Free 16 × 16 CrOX/TiO2‐Based Memristor Array for Synaptic Dynamics and LTP/ LTD Emulation: Experimental–Computational Correlation

This study presents a combined experimental–theoretical approach to understanding and optimizing CrOx‐based self‐rectifying memristor (SRM) for neuromorphic computing and provides a promising platform for selector‐free, low‐power crossbar arrays. By using a stencil‐assisted DC sputtering technique, a 16 × 16 crossbar array is fabricated and exhibits reliable analog resistive switching, minimal sneak current (≈150 nA), and an excellent rectification ratio up to 2.56 × 103, demonstrating excellent scalability

Wiley2025

Two-factor synaptic consolidation reconciles robustness with pruning and homeostatic scaling

Wulfram Gerstner

Memory consolidation refers to a process of engram reorganization and stabilization that is thought to occur primarily during sleep through a combination of neural replay, homeostatic plasticity, synaptic maturation, and pruning. From a computational perspective, however, this process remains puzzling, as it is unclear how to incorporate the underlying mechanisms into a common mathematical model of learning and memory. Here, we propose a solution by deriving a self-supervised consolidation model that uses r

The Society of Synthetic Organic Chemistry, Japan2025

Optical Charge Trap Memory Based on Graphene/ZnO Heterostructures for Long‐Term Retention and Adaptive Learning

Optoelectronic neuromorphic devices promise real‐time processing of unstructured biometric data, yet challenges remain in achieving material non‐toxicity and long‐term synaptic retention, along with a clear understanding of the underlying mechanisms. Here, an optical charge trap memory (CTM) is reported based on a graphene/ZnO nanoparticle (GZO) heterostructure that addresses these limitations through its large photoconductive gain and abundant charge trap sites. Distinct from previous nanoparticle/graphene

Wiley2025

CS - plasticity and behavioral-state integration in the posterior insula during auditory fear learning

Summary During fear learning, animals learn to associate sensory cues (conditioned stimulus, CS) with aversive outcomes, and neurons in several brain areas become entrained to the CS. The posterior insular cortex (pInsCx) contains representations of internal states and sensory cues, amongst them auditory stimuli. Nevertheless, the possibility of plastic encoding of auditory responses in the pInsCx during fear learning, and its underlying synaptic mechanisms have not been addressed. Using single-unit recordi

bioRxiv2025

Two-factor synaptic consolidation reconciles robust memory with pruning and homeostatic scaling

Wulfram Gerstner

Memory consolidation involves a process of engram reorganization and stabilization that is thought to occur primarily during sleep through a combination of neural replay, homeostatic plasticity, synaptic maturation, and pruning. From a computational perspective, however, this process remains puzzling, as it is unclear how the underlying mechanisms can be incorporated into a common mathematical model of learning and memory. Here, we propose a solution by deriving a consolidation model that uses replay and tw

bioRxiv2024

Longitudinal Dynamic fMRI Analysis of Music vs Singing Perception in Preterm Infants

Motivation: Instrumental music and singing differ due to the vocal component of the sung melody and present distinct neural processing pathways, though its developmental origins remain unclear. Goal(s): This study explores the early development of music vs singing brain processing. Approach: Dynamic PPI-CAPs approach was applied to longitudinal fMRI data of preterm infants at 33- and 40-weeks gestational age. Results: Singing elicited a stronger activation of salience and language-related networks, while mu

ISMRM2024

Adaptation of short-term plasticity parameters via error-driven learning may explain the correlation between activity-dependent synaptic properties, connectivity motifs and target specificity

Michele Giugliano

The anatomical connectivity among neurons has been experimentally found to be largely non-random across brain areas. This means that certain connectivity motifs occur at a higher frequency than would be expected by chance. Of particular interest, short-ter ...

Frontiers Research Foundation2015

Neuroprosthetic technologies to augment the impact of neurorehabilitation after spinal cord injury

Silvestro Micera, Grégoire Courtine, Jocelyne Bloch, Eduardo Martin Moraud, Joachim von Zitzewitz, Nicolas Francis Fumeaux, Marco Capogrosso, Fabien Bertrand Paul Wagner, Jean-Baptiste Mignardot

Spinal cord injury leads to a range of disabilities, including limitations in locomotor activity, that seriously diminish the patients’ autonomy and quality of life. Electrochemical neuromodulation therapies, robot-assisted rehabilitation and willpower-bas ...

2015

Emergence of Connectivity Motifs in Networks of Model Neurons with Short- and Long-Term Plastic Synapses

Michele Giugliano

Recent experimental data from the rodent cerebral cortex and olfactory bulb indicate that specific connectivity motifs are correlated with short-term dynamics of excitatory synaptic transmission. It was observed that neurons with short-term facilitating sy ...

Public Library of Science2014

Synaptic dynamics contribute to long-term single neuron response fluctuations

Michele Giugliano

Firing rate variability at the single neuron level is characterized by long-memory processes and complex statistics over a wide range of time scales (from milliseconds up to several hours). Here, we focus on the contribution of non-stationary efficacy of t ...

Frontiers Research Foundation2014

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Related publications (14)

What is next? Predictable visual sequences are encoded with anticipatory biases and reduced neural responses

2026

Correlative light–electron microscopy reveals fundamentally different axonal architectures for fast and modulatory transmission

bioRxiv2026

TRAINING SESSION INTERVALS SHAPE FUNCTIONAL CONNECTIVITY IN SPATIAL LEARNING: A BRAIN-WIDE ANALYSIS

bioRxiv2026

Motor-evoked modules obtained from transcranial magnetic stimulation

American Physiological Society2026

Selector‐Free 16 × 16 CrOX/TiO2‐Based Memristor Array for Synaptic Dynamics and LTP/ LTD Emulation: Experimental–Computational Correlation

Wiley2025

Adaptation of short-term plasticity parameters via error-driven learning may explain the correlation between activity-dependent synaptic properties, connectivity motifs and target specificity

Michele Giugliano

Frontiers Research Foundation2015