A5004774614- Neural dynamics and brain function
- stochastic dynamics and bifurcation
- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Visual perception and processing mechanisms
- Photoreceptor and optogenetics research
- Functional Brain Connectivity Studies
- Retinal Development and Disorders
- Neural and Behavioral Psychology Studies
- Cell Image Analysis Techniques
- Neurogenesis and neuroplasticity mechanisms
- Zebrafish Biomedical Research Applications
- Neural Networks and Applications
- Ecosystem dynamics and resilience
- Diffusion and Search Dynamics
- Memory and Neural Mechanisms
- Gene Regulatory Network Analysis
- 14-3-3 protein interactions
- Genetic Neurodegenerative Diseases
- Biomarkers in Disease Mechanisms
- 3D Printing in Biomedical Research
- Environmental Monitoring and Data Management
- Molecular Communication and Nanonetworks
- Congenital heart defects research
- Advanced Thermodynamics and Statistical Mechanics
University of Calgary
2017-2024
RIKEN Center for Brain Science
2021-2023
Columbia University
2023
New York State Psychiatric Institute
2023
University of Pittsburgh at Bradford
2023
New York Psychoanalytic Society and Institute
2023
Icahn School of Medicine at Mount Sinai
2023
Universitat de Barcelona
2009-2021
Biomedical Research Networking Center on Neurodegenerative Diseases
2017
Consorci Institut D'Investigacions Biomediques August Pi I Sunyer
2017
How the activity of neurons gives rise to natural vision remains a matter intense investigation. The mid-level visual areas along ventral stream are selective common class images-textures-but circuit-level understanding this selectivity and its link perception unclear. We addressed these questions in mice, first showing that they can perceptually discriminate between textures statistically simpler spectrally matched stimuli, texture types. Then, at neural level, we found secondary area (LM)...
Neuronal dynamics are fundamentally constrained by the underlying structural network architecture, yet much of details this synaptic connectivity still unknown even in neuronal cultures vitro. Here we extend a previous approach based on information theory, Generalized Transfer Entropy, to reconstruction simulated networks both excitatory and inhibitory neurons. We show that, due model-free nature developed measure, kinds connections can be reliably inferred if average firing rate between...
Neuronal avalanches have become an ubiquitous tool to describe the activity of large neuronal assemblies. The emergence scale-free statistics with well-defined exponents has led belief that brain might operate near a critical point. Yet not much is known in terms how different arise or robust they are. Using calcium imaging recordings dissociated cultures we show are universal, and significantly culture preparations, leading existence universality classes. Naturally developing avalanche...
Huntington's disease (HD) is a fatal neurodegenerative with motor, cognitive and psychiatric impairment. Dysfunctions in HD models have been related to reduced levels of striatal brain-derived neurotrophic factor (BDNF) imbalance between its receptors TrkB p75(NTR). Thus, molecules activity on the BDNF/TrkB/p75 system can therapeutic potential. 7,8-Dihydroxyflavone (7,8-DHF) was described as agonist several neuro-degenerative diseases, however, activation profile needs further investigation...
Abstract Choice information appears in multi-area brain networks mixed with sensory, motor, and cognitive variables. In the posterior cortex—traditionally implicated decision computations—the presence, strength, area specificity of choice signals are highly variable, limiting a cohesive understanding their computational significance. Examining mesoscale activity mouse cortex during visual task, we found that defined variable low-dimensional embedding space prominent contribution along...
Spreading processes on networks are ubiquitous in both human-made and natural systems. Understanding their behavior is of broad interest; from the control epidemics to understanding brain dynamics. While some cases there exists a clear separation time scales between propagation single spreading cascade initiation next -- such that can be modelled as directed percolation or branching process also for which this not case, zoonotic diseases spiking cascades neural networks. For large class...
We studied effective connectivity in rat cortical cultures with various degrees of spatial aggregation, ranging from homogeneous networks to highly aggregated ones. considered small 3 mm diameter and that contained about 2;000 neurons. Spatial inhomogeneity favored an increase metric correlations among neighboring Effective was determined spontaneous activity recordings using calcium fluorescence imaging. used generalized transfer entropy as tool infer the connectivity. carried out numerical...
Abstract Human pluripotent stem cells (hPSCs) are a powerful tool for modelling human development. In recent years, hPSCs have become central in cell-based therapies neurodegenerative diseases given their potential to replace affected neurons. However, directing into specific neuronal types is complex and requires an accurate protocol that mimics endogenous Here we describe step-by-step fast feeder-free differentiation direct mature forebrain neurons 37 days vitro (DIV). The based upon...
We introduce a novel random field Ising model, grounded on experimental observations, to assess the importance of metric correlations in cortical circuits vitro. Metric arise from both finite axonal length and heterogeneity spatial arrangement neurons. The experiments consider response neuronal cultures an external electric stimulation for gradually weaker connectivity strength between neurons, with different configurations. model can be analytically solved metric-free, mean-field scenario....
We study the cooperative dynamics of Brownian motors moving along a one-dimensional track when an external load is applied to leading motor, mimicking molecular pulling on membrane-bound cargoes in intracellular traffic. Due asymmetric loading, self-organized motor clusters form spontaneously. model with two-state noise-driven ratchet formulation and analytically numerically collective velocity-force efficiency-force curves resulting from mutual interactions, mostly hard-core repulsion weak...
Abstract Background Network alterations underlying neurodegenerative diseases often precede symptoms and functional deficits. Thus, their early identification is central for improved prognosis. In Huntington’s disease (HD), the cortico-striatal networks, involved in motor function processing, are most compromised neural substrate. However, whether network intrinsic of striatum or cortex not fully understood. Results order to identify HD deficits, we characterized neuronal ensemble calcium...
The authors develop a model to describe the emergence of extreme coherent events in coupled excitable systems, specifically neuronal networks, and show that activity small ensemble neurons can be strongly amplified by connectivity noise.
The brain can be seen as a self-organized dynamical system that optimizes information processing and storage capabilities. This is supported by studies across scales, from small neuronal assemblies to the whole brain, where activity exhibits features typically associated with phase transitions in statistical physics. Such critical state characterized emergence of scale-free statistics captured, for example, sizes durations avalanches corresponding cascading process flow. Another phenomenon...
The brain can be seen as a self-organized dynamical system that optimizes information processing and storage capabilities. This is supported by studies across scales, from small neuronal assemblies to the whole brain, where activity exhibits features typically associated with phase transitions in statistical physics. Such critical state characterized emergence of scale-free statistics captured, for example, sizes durations avalanches corresponding cascading process flow. Another phenomenon...
We are organizing a challenge to reverse engineer the structure of neuronal networks from patterns activity recorded with calcium fluorescence imaging. Unraveling brain at level large scale is an important step in science, many ramifications comprehension animal and human intelligence learning capabilities, as well understanding curing diseases injuries. However, uncovering anatomy by disentangling neural wiring its very fine intertwined dendrites axons, making both local far reaching...
Abstract Adult neurogenesis is reduced during aging and impaired in disorders of stress, memory, cognition though its normal function remains unclear. Moreover, a systems level understanding how small number young hippocampal neurons could dramatically influence brain lacking. We examined whether adult sustains connections cumulatively across the life span. Long-term suppression as occurs stress resulted an accelerated decline acetylcholine signaling slow progressing emergence profound...
We introduce a coarse-grained stochastic model for the spontaneous activity of neuronal cultures to explain phenomenon noise focusing, which entails localization in excitable networks with metric correlations. The system is modeled as continuum medium state-dependent spatial coupling that accounts dynamics synaptic connections. most salient feature emergence at mesoscale vector field $\mathbf{V}(\mathbf{r})$, acts an advective carrier noise. This explicit symmetry breaking isotropy and...