A5068740627- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Advanced Memory and Neural Computing
- Neural Networks and Applications
- Neural and Behavioral Psychology Studies
- Traumatic Brain Injury Research
- Obsessive-Compulsive Spectrum Disorders
- Neurological disorders and treatments
- Transcranial Magnetic Stimulation Studies
- Molecular Communication and Nanonetworks
- Aesthetic Perception and Analysis
- Visual perception and processing mechanisms
Université de Lille
2024
Masaryk University
2024
Institut des Neurosciences Paris-Saclay
2018-2023
Centre National de la Recherche Scientifique
2019-2023
Université Paris-Saclay
2019-2023
Université Savoie Mont Blanc
2023
Université Grenoble Alpes
2022-2023
Laboratoire de Psychologie et NeuroCognition
2022
Université Paris-Sud
2019
Unit of Neuroscience Information and Complexity
2018
The development of brain-machine interfaces (BMIs) brings new prospects to patients with a loss autonomy. By combining online recordings brain activity decoding algorithm, can learn control robotic arm in order perform simple actions. However, contrast the vast amounts somatosensory information channeled by limbs brain, current BMIs are devoid touch and force sensors. Patients must therefore rely solely on vision audition, which maladapted prosthesis. In contrast, healthy limb, inputs alone...
The topographic organization is a prominent feature of sensory cortices, but its functional role remains controversial. Particularly, it not well determined how integration activity within cortical area depends on topography during sensory-guided behavior. Here, we train mice expressing channelrhodopsin in excitatory neurons to track photostimulation bar that rotated smoothly over the whisker representation primary somatosensory cortex. Mice learn discriminate angular positions light obtain...
Neuroprosthetics offer great hope for motor-impaired patients. One obstacle is that fine motor control requires near-instantaneous, rich somatosensory feedback. Such distributed feedback may be recreated in a brain-machine interface using artificial stimulation across the cortical surface. Here, we hypothesized neuronal must contiguous its spatiotemporal dynamics to efficiently integrated by sensorimotor circuits. Using closed-loop interface, trained head-fixed mice virtual cursor modulating...
Summary Perceptual experience is a multi-faceted, dynamical process, tackled empirically through measures of stimulus detectability and confidence. To assess if detection confidence can be explained by evidence accumulation, form sequential sampling sensory evidence, we analyzed high-gamma activity from stereo-electroencephalographic data 29 participants partaking in 3 pre-registered experiments. In an immediate-response experiment, individual channels decoded multivariate latent variables...
Abstract Evidence accumulation models have proven to be powerful tools explain the temporal dynamics of decisions, as well their metacognitive components such confidence judgments and changes mind. However, it is still unclear how where in brain evidence leads these two components. To better understand functional overlap between accumulation, confidence, mind, we recorded intracranial high-gamma activity patients with focal epilepsy while they reported motion direction a random dot...
Abstract Most human studies on perceptual decision-making are correlational, and few addressed the causal role of neural markers they identify. Here, we took opportunity offered by deep brain stimulation to study subthalamo-cortical networks monitoring. To this end, asked participants with obsessive-compulsive disorder (OCD) treated subthalamic detect visual stimuli provide confidence reports while recorded scalp electroencephalography. Following a preregistered plan, compared behavioural...
Closed-loop brain-machine interfaces may help restore the autonomy of amputees and tetraplegic patients. However, additional efforts are needed towards their real-world use with prostheses. Here we have interfaced a highly versatile closed-loop mouse BMI an online model prosthetic arm. We describe this setup illustrate how it allows to explore efficiency different input output coding strategies given realistic modelling interactions between commercial bidirectional prosthesis its environment.
Abstract Objective. Distributed microstimulations at the cortical surface can efficiently deliver feedback to a subject during manipulation of prosthesis through brain-machine interface (BMI). Such convey vast amounts information user and may be key obtain an accurate control embodiment prosthesis. However, so far little is known physiological constraints on decoding such patterns. Here, we aimed test rotary optogenetic that was designed encode 360° movements robotic actuators used in...
Abstract Neuroprosthetics offer great hope for motor-impaired patients. One obstacle is that fine motor control requires near-instantaneous, rich somatosensory feedback. Such distributed feedback may be recreated in a brain-machine interface using artificial stimulation across the cortical surface. Here, we hypothesized neuronal must contiguous its spatiotemporal dynamics order to efficiently integrated by sensorimotor circuits. Using closed-loop interface, trained head-fixed mice virtual...
Abstract A large number of behavioral studies suggest that confidence judgments are impaired in schizophrenia, motivating the search for neural correlates an underlying metacognitive impairment. Electrophysiological a specific evoked response potential reflecting performance monitoring, namely error-related negativity (ERN), is blunted schizophrenia compared to healthy controls. However, attention has recently been drawn confound study metacognition, lower task-performance controls involves...
Abstract A large number of behavioral studies suggest that confidence judgments are impaired in schizophrenia, motivating the search for neural correlates an underlying metacognitive impairment. Electrophysiological suggested a specific evoked response potential reflecting performance monitoring, namely error-related negativity (ERN), was blunted schizophrenia compared to healthy controls. However, attention has recently been drawn confound study metacognition, lower first-order controls...
Abstract The topographic organization of sensory cortices is a prominent feature, but its functional role remains unclear. Particularly, how activity integrated within cortical area depending on topography unknown. Here, we trained mice expressing channelrhodopsin in excitatory neurons to track bar photostimulation that rotated smoothly over the primary somatosensory cortex (S1). When was aimed at vS1, which contains contiguous representation whisker array periphery, could learn discriminate...