A5034530138- Neuroscience and Neural Engineering
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Neurological disorders and treatments
- Muscle activation and electromyography studies
- Neuroscience and Neuropharmacology Research
- Parkinson's Disease Mechanisms and Treatments
- Functional Brain Connectivity Studies
- Advanced Memory and Neural Computing
- Photoreceptor and optogenetics research
- Tactile and Sensory Interactions
- Prosthetics and Rehabilitation Robotics
- Genetic Neurodegenerative Diseases
- Obsessive-Compulsive Spectrum Disorders
- Dementia and Cognitive Impairment Research
- Advanced Sensor and Energy Harvesting Materials
- Vagus Nerve Stimulation Research
- Heart Rate Variability and Autonomic Control
- Stroke Rehabilitation and Recovery
- stochastic dynamics and bifurcation
- Nonlinear Dynamics and Pattern Formation
- Alzheimer's disease research and treatments
- Visual perception and processing mechanisms
- Botulinum Toxin and Related Neurological Disorders
- Neuroscience of respiration and sleep
Scuola Superiore Sant'Anna
2016-2025
Grigioni Foundation for Parkinson's disease
2024
Fondazione Istituto Neurologico Nazionale Casimiro Mondino
2024
Institute of Electronics
2024
University of Pisa
2024
Politecnico di Milano
2024
University of Pavia
2024
Piaggio Aerospace (Italy)
2015-2023
Piaggio (Italy)
2015-2023
University of Brescia
2022
Leaky integrate-and-fire (LIF) network models are commonly used to study how the spiking dynamics of neural networks changes with stimuli, tasks or dynamic states. However, neurophysiological studies in vivo often rather measure mass activity neuronal microcircuits local field potential (LFP). Given that LFPs generated by spatially separated currents across membrane, they cannot be computed directly from quantities defined point-like LIF neurons. Here, we explore best approximation for...
Restoration of touch after hand amputation is a desirable feature ideal prostheses. Here, we show that texture discrimination can be artificially provided in human subjects by implementing neuromorphic real-time mechano-neuro-transduction (MNT), which emulates to some extent the firing dynamics SA1 cutaneous afferents. The MNT process was used modulate temporal pattern electrical spikes delivered median nerve via percutaneous microstimulation four intact and implanted intrafascicular...
Recordings of local field potentials (LFPs) reveal that the sensory cortex displays rhythmic activity and fluctuations over a wide range frequencies amplitudes. Yet, role this kind in encoding information remains largely unknown. To understand rules translation between structure stimuli cortical responses, we simulated sparsely connected network excitatory inhibitory neurons modeling population, determined how LFPs generated by encode about input stimuli. We first considered simple static...
Bionic hand provides accurate tactile and position information leads to improved performance during sensing tasks.
Abstract Frontal circuits play a critical role in motor, cognitive and affective processing, their dysfunction may result variety of brain disorders. However, exactly which frontal domains mediate (dys)functions remains largely elusive. We studied 534 deep stimulation electrodes implanted to treat four different By analyzing connections were modulated for optimal therapeutic response across these disorders, we segregated the cortex into that had become dysfunctional each them. Dysfunctional...
The current understanding of primate natural action organization derives from laboratory experiments in restrained contexts (RCs) under the assumption that this knowledge generalizes to freely moving (FMCs). In work, we developed a neurobehavioral platform enable wireless recording same premotor neurons both RCs and FMCs. Neurons often encoded hand mouth actions differently Furthermore, FMCs, identified cells selectively untestable during others displayed mixed selectivity for multiple...
Most neuronal networks, even in the absence of external stimuli, produce spontaneous bursts spikes separated by periods reduced activity. The origin and functional role these events are still unclear. present work shows that activity two very different intact leech ganglia dissociated cultures rat hippocampal neurons, share several features. Indeed, both networks: i) inter-spike intervals distribution firing single neurons is either regular or periodic bursting, with fraction bursting...
Models of networks Leaky Integrate-and-Fire neurons (LIF) are a widely used tool for theoretical investigations brain function. These models have been both with current- and conductance-based synapses. However, the differences in dynamics expressed by these two approaches so far mainly studied at single neuron level. To investigate how synaptic affect network activity, we compared single-neuron neural population (COBN) current-based (CUBN) LIF neurons. were endowed sparse excitatory...
Recent studies have shown that direct nerve stimulation can be used to provide sensory feedback hand amputees. The intensity of the elicited sensations modulated using amplitude or frequency injected stimuli. However, a comprehensive comparison effects these two encoding strategies on amputees' ability control prosthesis has not been performed. In this paper, we assessed performance trans-radial amputees controlling myoelectric while receiving grip force encoded either linear modulation...
We implemented neuromorphic artificial touch and emulated the firing behavior of mechanoreceptors by injecting raw outputs a biomimetic tactile sensor into an Izhikevich neuronal model. Naturalistic textures were evaluated with passive protocol. The resulting spike trains able to classify ten naturalistic ranging from textiles glass BioSkin, accuracy as high 97%. Remarkably, rather than on rate features calculated over stimulation window, highest achieved decoding performance was based...
Abstract Objective . This study aims to design and implement the first deep learning (DL) model classify subjects in prodromic states of Alzheimer’s disease (AD) based on resting-state electroencephalographic (EEG) signals. Approach EEG recordings 17 healthy controls (HCs), 56 subjective cognitive decline (SCD) 45 mild impairment (MCI) were acquired at resting state. After preprocessing, we selected sections corresponding eyes-closed condition. Five different datasets created by extracting...
Alzheimer's disease (AD) pathological changes may begin up to decades earlier than the appearance of first symptoms cognitive decline. Subjective decline (SCD) could be pre-clinical sign possible AD, which might followed by mild impairment (MCI), initial stage clinical However, neural correlates these prodromic stages are not completely clear yet. Recent studies suggest that EEG analysis tools characterizing cortical activity as a whole, such microstates and regions connectivity, support...
Early identification of Alzheimer's disease (AD) is necessary for a timely onset therapeutic care. However, cortical structural alterations associated with AD are difficult to discern.
Objective Genetic dystonia is a complex movement disorder with diverse clinical manifestations resulting from pathogenic mutations in associated genes. A recent paradigm shift emphasizes the functional convergence among genes, hinting at shared pathomechanism. However, neural dynamics supporting this remain largely unexplored. Methods Herein, we analyzed microelectrode recordings acquired during pallidal deep brain stimulation surgery 31 patients AOPEP , GNAL KMT2B PANK2 PLA2G6 SGCE THAP1...
Extracellular metal microelectrodes are widely used to record single neuron activity in vivo. However, their signal-to-noise ratio (SNR) is often far from optimal due high impedance value. It has been recently reported that carbon nanotube (CNT) coatings may decrease microelectrode impedance, thus improving performance. To tease out the different contributions SNR of CNT-coated we carried and noise spectroscopy measurements platinum/tungsten coated with a polypyrrole–CNT composite. Neuronal...
Abnormal beta band activity in the subthalamic nucleus (STN) is known to be exaggerated patients with Parkinson's disease, and amplitude of such has been associated akinetic rigid symptoms. New devices for deep brain stimulation (DBS) that operate by adapting parameters generally rely on detection modulations these patients. Movement-related frequency modulation oscillatory poorly investigated, despite being an attractive variable extracting information about basal ganglia activity.We...
Planning and execution of voluntary movement depend on the contribution distinct classes neurons in primary motor premotor areas. However, timing pattern activation GABAergic cells during specific behaviors remain only partly understood. Here, we directly compared response properties putative pyramidal (PNs) fast-spiking (FSNs) spontaneous licking forelimb movements male mice. Recordings centered face/mouth field anterolateral cortex (ALM) revealed that FSNs fire longer than PNs earlier for...
The local field potential (LFP) captures different neural processes, including integrative synaptic dynamics that cannot be observed by measuring only the spiking activity of small populations. Therefore, investigating how LFP power is modulated external stimuli can offer important insights into sensory representations. However, gaining such insight requires developing data-driven computational models identify and disambiguate contributions to LFP. Here, we investigated networks excitatory...