A5009299624- Neural dynamics and brain function
- Neuroscience and Neuropharmacology Research
- Neuroinflammation and Neurodegeneration Mechanisms
- Single-cell and spatial transcriptomics
- Neuroscience and Neural Engineering
- Cell Image Analysis Techniques
- Memory and Neural Mechanisms
- Advanced Memory and Neural Computing
- Bioinformatics and Genomic Networks
- Cellular Automata and Applications
- Robotics and Automated Systems
- CCD and CMOS Imaging Sensors
- Photoreceptor and optogenetics research
- stochastic dynamics and bifurcation
- Visual perception and processing mechanisms
- Neuroendocrine regulation and behavior
- Stress Responses and Cortisol
- Neural Networks and Applications
University of Ottawa
2013-2021
Western University
2019-2021
Robarts Clinical Trials
2019-2020
Neuronal spiking activity encoding working memory (WM) is robust in primate association cortices but weak or absent early sensory cortices. This may be linked to changes the proportion of neuronal types across areas that influence circuits' ability generate recurrent excitation. We recorded from middle temporal (MT), medial superior (MST), and lateral prefrontal cortex (LPFC) monkeys performing a WM task classified neurons as narrow (NS) broad (BS). The ratio NS/BS decreased MT > MST LPFC....
Key points The hypothalamic‐pituitary‐adrenal (HPA) axis habituates to repeated stress exposure. We studied hypothalamic corticotropin‐releasing hormone (CRH) neurons that form the apex of HPA in a mouse model habituation using restraint. intrinsic excitability CRH decreased after time course coincided with development habituation. This plasticity co‐developed an expansion surface membrane area, which increased passive electric load and dampened depolarization response influx positive...
The quantification of spiking variability is prevalent to many questions in neuroscience.In this review, several measures are presented, as well algorithms for implementing analyses including: spike rates and Fano factor, inter-spike intervals, coefficient variation local variation, autocorrelation, period histograms, a synchrony index (vector strength), finally post-stimulus time histograms.Some the techniques show significant overlap; however, each measure qualitatively unique can be tuned...
Neuronal activity in vitro exhibits network bursts characterized by brief periods of increased spike rates. Recent work shows that a subpopulation neurons reliably predicts the occurrence bursts. Here, we examined role burst predictors cultures undergoing an model cerebral ischemia. Dissociated primary cortical were plated on multielectrode arrays and spontaneous was recorded at 17 days (DIV). This neuronal avalanches where statistics followed power law. We identified as channels...
Figure 1 Reliability of responses and percentage accurately classified stimuli.A. Left: Scatter plot reliability discriminability in network to stimuli.The x-axis shows discriminability, measured as 1-C between .The y-axis C within .Green circles: asynchronous (frequency 10 Hz & amplitude 2 µA).Blue synchronous (10 -2 µA).Black without oscillations.Right: Percentage stimuli.Dashed black line represents networks oscillations.B. Same A, but strictly for cells that directly received a stimulus.
Discriminating amongst stimuli in the environment is a fundamental aspect of brain function. Research has shown that chaotic neural networks are exquisitely sensitive to small perturbations making them unreliable and unpredictable. Here, we examine how neuronal oscillations (i.e., temporal waves activity) may be tuned enhance discrimination performance networks. Using computational model randomly connected leaky integrate-and-fire (LIF) neurons, possibility reliability spike times across...
A Correction to this paper has been published: https://doi.org/10.1038/s41593-020-00779-0.
Visual neurons in many brain areas show non-linear response profiles as a function of the stimulus shown inside their receptive fields. These can be fit with different functions to obtain tuning curve neuron for particular feature. One example is contrast function, e.g., increases neuron’s field produce changes its profile that fitted by sigmoid function. Such properties have been attributed lateral inhibition and normalization within network interconnected neurons. Here we test hypothesis...
To understand the function of cortical circuits it is necessary to classify their underlying cellular diversity. Traditional attempts based on comparing anatomical or physiological features neurons and glia, while productive, have not resulted in a unified taxonomy neural cell types. The recent development single-cell transcriptomics has enabled, for first time, systematic high-throughput profiling large numbers cells generation datasets that hold promise being complete, accurate permanent....