A5048012743- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Neuroscience and Neuropharmacology Research
- Sleep and Wakefulness Research
- Photoreceptor and optogenetics research
- EEG and Brain-Computer Interfaces
- Memory and Neural Mechanisms
- Cell Image Analysis Techniques
- Advanced Thermodynamics and Statistical Mechanics
- Neural Networks and Applications
- Nonlinear Dynamics and Pattern Formation
- stochastic dynamics and bifurcation
- Micro and Nano Robotics
- Embodied and Extended Cognition
- Bipolar Disorder and Treatment
- Adenosine and Purinergic Signaling
- Mitochondrial Function and Pathology
- Philosophy and History of Science
- Zebrafish Biomedical Research Applications
- Lipid Membrane Structure and Behavior
- Advanced Memory and Neural Computing
- Neuroscience and Neural Engineering
- Gene Regulatory Network Analysis
- Robotics and Automated Systems
- Adolescent and Pediatric Healthcare
Montreal Neurological Institute and Hospital
2022-2025
McGill University
2022-2025
Mila - Quebec Artificial Intelligence Institute
2022-2025
New York University
2016-2024
NYU Langone Health
2020-2024
Centre Universitaire de Mila
2023
Neurosciences Institute
2016-2022
γ-Aminobutyric acid (GABA)ergic inputs are strategically positioned to gate synaptic integration along the dendritic arbor of pyramidal cells. However, their spatiotemporal dynamics during behavior poorly understood. Using an optical-tagging electrophysiological approach record and label somatostatin-expressing (Sst) interneurons (GABAergic neurons specialized for inhibition), we discovered a layer-specific modulation activity in behaving mice. Sst interneuron subtypes, residing different...
In recent years, the field of neuroscience has gone through rapid experimental advances and a significant increase in use quantitative computational methods. This growth created need for clearer analyses theory modeling approaches used field. issue is particularly complex because studies phenomena that cross wide range scales often require consideration at varying degrees abstraction, from precise biophysical interactions to computations they implement. We argue pragmatic perspective...
Abstract During non-rapid eye movement (NREM) sleep, neuronal populations in the mammalian forebrain alternate between periods of spiking and inactivity. Termed slow oscillation neocortex sharp wave-ripples hippocampus, these alternations are often considered separately but both crucial for NREM functions. By directly comparing experimental observations naturally-sleeping rats with a mean field model an adapting, recurrent population, we find that neocortical reflect dynamical regime which...
Abstract The mammalian hippocampus contains a cognitive map that represents an animal’s position in the environment 1 and generates offline “replay” 2,3 for purposes of recall 4 , planning 5,6 forming long term memories 7 . Recently, it’s been found artificial neural networks trained to predict sensory inputs develop spatially tuned cells 8 aligning with predictive theories hippocampal function 9–11 However, whether learning can also account ability produce replay is unknown. Here, we find...
Homeostatic regulation of synapses is vital for nervous system function and key to understanding a range neurological conditions. Synaptic homeostasis proposed operate over hours counteract the destabilizing influence long-term potentiation (LTP) depression (LTD). The prevailing view holds that synaptic scaling slow first-order process regulates postsynaptic glutamate receptors fundamentally differs from LTP or LTD. Surprisingly, we find dynamics induced by neuronal inactivity are not...
Various theories in neuroscience maintain that brain oscillations have an important role neuronal computation, but opposing views claim these macroscale dynamics are “exhaust fumes” of more relevant processes. Here, we argue the question whether epiphenomenal is ill-defined and cannot be productively resolved without further refinement. Toward end, outline a conceptual framework clarifies dispute along two axes: first, introduce distinction between measurement process to categorize...
Datasets collected in neuroscientific studies are of ever-growing complexity, often combining high-dimensional time series data from multiple acquisition modalities. Handling and manipulating these various streams an adequate programming environment is crucial to ensure reliable analysis, facilitate sharing reproducible analysis pipelines. Here, we present Pynapple, the PYthon Neural Analysis Package, a lightweight python package designed process broad range time-resolved systems...
ABSTRACT Neuronal firing patterns have significant spatiotemporal variability with no agreed upon theoretical framework. Using a combined experimental and modeling approach, we found that spike interval statistics can be described by discrete modes of activity. Of these, “ground state” (GS) mode low-rate spiking is universal among forebrain excitatory neurons characterized irregular at neuron-specific rates. In contrast, “activated (AS) consist characteristic timescales regularity are...
ABSTRACT During non-rapid eye movement (NREM) sleep, the neocortex and hippocampus alternate between periods of neuronal spiking inactivity. By directly comparing experimental observations with a mean field model an adapting, recurrent population, we find that neocortical alternations reflect dynamical regime in which stable active state is interrupted by transient inactive states (slow waves) while hippocampal (sharp waves). We propose during NREM populations are excitable: each from...
Datasets collected in neuroscientific studies are of ever-growing complexity, often combining high dimensional time series data from multiple acquisition modalities. Handling and manipulating these various streams an adequate programming environment is crucial to ensure reliable analysis, facilitate sharing reproducible analysis pipelines. Here, we present Pynapple, a lightweight python package designed process broad range time-resolved systems neuroscience. The core feature this small...
The cognitive sciences are facing questions of how to select from competing theories or develop those that suit their current needs. However, traditional accounts theoretical virtues have not yet proven informative theory development in these fields. We advance a pragmatic account by which heuristics we use estimate theory’s contribution field’s body knowledge, and the degree it increases knowledge’s ability solve problems domain, problem-space. From this perspective, properties...
In recent years, the field of neuroscience has gone through rapid experimental advances and a significant increase in use quantitative computational methods. This growth created need for clearer analyses theory modeling approaches used field. issue is particularly complex because studies phenomena across wide range scales often requires consideration these at varying degrees abstraction, from precise biophysical interactions to computations they implement. We argue that pragmatic perspective...
Abstract Sequential neuronal patterns are believed to support information processing in the cortex, yet their origin is still a matter of debate. We report that activity mouse head-direction cortex (HDC, i.e., post-subiculum) was sequentially activated along dorso-ventral axis during sleep at transition from hyperpolarized “DOWN” “UP” states, while representing stable direction. Computational modelling suggested these dynamics could be attributed spatial gradient hyperpolarization-activated...
ABSTRACT Sleep is thought to mediate mnemonic and homeostatic functions. However, the mechanism by which this brain state can implement both “selective” plasticity needed consolidate novel memory traces as well “general” necessary maintain a well-functioning neuronal system unclear. Recent findings show that of these functions differentially affect neurons based on their intrinsic firing rate, ubiquitous heterogeneity. Furthermore, they are implemented NREM slow oscillation, also...
Summary Systems consolidation relies on coordination between hippocampal sharp-wave ripples (SWRs) and neocortical UP/DOWN states during sleep. However, whether this coupling exists across neocortex the mechanisms enabling it remain unknown. By combining electrophysiology in mouse hippocampus (HPC) retrosplenial cortex (RSC) with widefield imaging of dorsal neocortex, we found spatially temporally precise bidirectional hippocampo-neocortical interaction. HPC multi-unit activity SWR...
Abstract Datasets collected in neuroscientific studies are of ever-growing complexity, often combining high dimensional time series data from multiple acquisition modalities. Handling and manipulating these various streams an adequate programming environment is crucial to ensure reliable analysis, facilitate sharing reproducible analysis pipelines. Here, we present Pynapple, the PYthon Neural Analysis Package, a lightweight python package designed process broad range time-resolved systems...