A5025842694- Neural dynamics and brain function
- Neuroscience and Neuropharmacology Research
- Vestibular and auditory disorders
- Visual perception and processing mechanisms
- Hearing, Cochlea, Tinnitus, Genetics
- Photoreceptor and optogenetics research
- Electrochemical Analysis and Applications
- Sleep and Wakefulness Research
- Human Pose and Action Recognition
- Neurology and Historical Studies
- Face recognition and analysis
- Neuroscience of respiration and sleep
- Neuroscience and Neural Engineering
- Evolutionary Algorithms and Applications
- Neuroinflammation and Neurodegeneration Mechanisms
- 3D Shape Modeling and Analysis
- EEG and Brain-Computer Interfaces
- Receptor Mechanisms and Signaling
- Amino Acid Enzymes and Metabolism
- Advanced Memory and Neural Computing
- Interdisciplinary Research and Collaboration
- Neural Networks and Applications
- Neurogenesis and neuroplasticity mechanisms
- Climate Change Communication and Perception
- Neurobiology and Insect Physiology Research
University College London
2018-2022
University of Basel
2018-2021
Wellcome Centre for Human Neuroimaging
2021
The Francis Crick Institute
2021
Sainsbury Laboratory
2018-2019
Institut de Biologie de l'École Normale Supérieure
2013-2018
Inserm
2016-2018
Université Paris Sciences et Lettres
2016-2018
Centre National de la Recherche Scientifique
2016-2018
École Normale Supérieure - PSL
2013-2016
Sensory processing involves information flow between neocortical areas, assumed to rely on direct intracortical projections. However, cortical areas may also communicate indirectly via higher-order nuclei in the thalamus, such as pulvinar or lateral posterior nucleus (LP) visual system of rodents. The fine-scale organization and function these cortico-thalamo-cortical pathways remains unclear. We find that responses mouse LP neurons projecting higher likely derive from feedforward input...
Selectivity of cortical neurons for sensory stimuli can increase across days as animals learn their behavioral relevance and seconds when switch attention. While both phenomena occur in the same circuit, it is unknown whether they rely on similar mechanisms. We imaged primary visual cortex mice learned a discrimination task subsequently performed an attention switching task. changes due to learning were uncorrelated individual neurons. increases after mainly arose from selective suppression...
The cerebellum aids the learning of fast, coordinated movements. According to current consensus, erroneously active parallel fibre synapses are depressed by complex spikes signalling movement errors. However, this theory cannot solve
Presenting visual stimuli in neuroscience experiments often requires the combination of analogue signals that carry information about cue presented on LCD display. Such are sensed by photodetectors and recorded to digital converter (ADC) acquisition boards. The use open-source programming languages such as Bonsai is becoming more popular. They used with other hardware Arduino development These microcontroller-based boards can be automate behavioural experiments: e.g., actuate valves motors...
Adaptive sensory behavior is thought to depend on processing in recurrent cortical circuits, but how dynamics these circuits shapes the integration and transmission of information not well understood. Here, we study neural coding recurrently connected networks neurons driven by input. We show analytically available network output varies with alignment between feedforward input integrating modes circuit dynamics. In light this theory, analyzed population activity visual cortex mice that...
Sensory processing involves information flow between neocortical areas, assumed to rely on direct intracortical projections. However, cortical areas may also communicate indirectly via higher-order nuclei in the thalamus, such as pulvinar or lateral posterior nucleus (LP) visual system. The fine-scale organization and function of these cortico-thalamo-cortical pathways remains unclear. We find that responses mouse LP neurons projecting higher likely derive from feedforward input primary...
We performed extracellular recording of pairs interneuron-Purkinje cells in vivo. A single interneuron produces a substantial, short-lasting, inhibition Purkinje cells. Feed-forward is associated with characteristic asymmetric cross-correlograms. In vivo, cell spikes only depend on the most recent synaptic activity.Cerebellar molecular layer interneurons are considered to control firing rate and spike timing However, interactions between these types largely unexplored Using tetrodes, we...
Glutamine plays multiple roles in the CNS, including metabolic functions and production of neurotransmitters glutamate GABA. It has been proposed to be taken up into neurons via a variety membrane transport systems, system A, which is sodium-dependent electrogenic amino acid transporter system. In this study, we investigate glutamine by application acids individual principal medial nucleus trapezoid body (MNTB) acutely isolated rat brain slices. A current was studied patch-clamped neurons,...
ABSTRACT Calcium imaging is a key method to record patterns of neuronal activity across populations identified neurons. Inference temporal action potentials (‘spikes’) from calcium signals is, however, challenging and often limited by the scarcity ground truth data containing simultaneous measurements signals. To overcome this problem, we compiled large diverse database publicly available newly performed recordings. This covers various types indicators, cell types, signal-to-noise ratios...
Abstract The cerebellum aids the learning and execution of fast coordinated movements, with acquired information being stored by plasticity parallel fibre—Purkinje cell synapses. According to current consensus, erroneously active fibre synapses are depressed complex spikes arising when climbing fibres signal movement errors. However, this theory cannot solve credit assignment problem using limited from a global evaluation optimise behaviour guiding in numerous neurones. We identify possible...
In motor neocortex, preparatory activity predictive of specific movements is maintained by a positive feedback loop with the thalamus. Motor thalamus receives excitatory input from cerebellum, which learns to generate signals for control. The contribution this pathway neocortical remains poorly understood. Here we show that in virtual reality conditioning task, cerebellar output neurons dentate nucleus exhibit similar anterolateral cortex prior reward acquisition. Silencing photoactivating...
Abstract The axon initial segment of each cerebellar Purkinje cell is ensheathed by basket axons in a structure called the pinceau, which largely devoid chemical synapses and gap junctions. These facts ultrastructural similarities with cap teleost Mauthner led to conjecture that pinceau mediates ephaptic (via extracellular field) inhibition. Korn Axelrad published study 1980 they reported confirmation this conjecture. We have analysed their results show most are likely be explained an...
Depth perception is essential for visually-guided behavior. Computer vision algorithms use depth maps to encode distances in three-dimensional scenes but it unknown whether such are generated by animal visual systems. To answer this question, we focused on motion parallax, a cue relying resulting from movement of the observer. As neurons mouse primary cortex (V1) broadly modulated locomotion, hypothesized that they may integrate vision- and locomotion-related signals estimate parallax. Using...
Summary Selectivity of cortical neurons for sensory stimuli can increase across days as animals learn their behavioral relevance, and seconds when switch attention. While both phenomena are expressed in the same circuit, it is unknown whether they rely on similar mechanisms. We imaged activity neuronal populations primary visual cortex mice learned a discrimination task subsequently performed an attention switching task. changes due to learning were uncorrelated individual neurons. increases...
Summary Adaptive sensory behavior is thought to depend on processing in recurrent cortical circuits, but how dynamics these circuits shapes the integration and transmission of information not well understood. Here, we study neural coding recurrently connected networks neurons driven by input. We show analytically available network output varies with alignment between feedforward input integrating modes circuit dynamics. In light this theory, analyzed population activity visual cortex mice...