I am very happy to announce that my new manuscript has been accepted for publication in arXiv. https://arxiv.org/html/2604.01475v1 This is my first independent work and the first of a series…
Measuring excitation and inhibition using electrophysiological data. A comparison of methods using single cell simulation data:A few weeks ago, I have provided some evidence using single-neuron simulations on the excitation…
This is a new entry on the broad theme of electrophysiological Biomarkers and Predicting pathological states disease from resting state EEG analysis. I am interested in excitatory to inhibitory (E/I)…
Computational Models for Education and Research: Unlocking the Mysteries of Neurons: Understanding the properties of a single neuron is fundamental to mastering neuroscience. However, conveying this knowledge through traditional methods—notes,…
A commentary on how Neurons fire in Early Alzheimer’s: Linking Electrophysiology to Microglial StatesA few days ago the Alzforum covered again my recent work and its relation to ongoing work…
Predicting Neurological & Psychiatric disease from resting state EEG AnalysisQuantitative EEG analysis and predictions using deep learning tools have attracted a lot of attention due to the powerful repercussion that…
#EEG Neurobiomarkers via Machine learning #machinelearning analysis in #neuroscience #dataanalysis, #sleepI have recently been talking about machine learning tools and applications in neuroscience in a rather cryptic manner.To give you…
I proudly present here our recently published work with the group of Evan Macosko at the Broad Institute of MIT and Harvard, Cambridge.Early Alzheimer’s disease pathology in human cortex involves…
#Dopamine Neuron degeneration in the midbrain is the cardinal event responsible for the loss of control over voluntary movement in #Parkinson's Disease, #parkinsonsdisease. #parkinsonsresearchThe importance of calcium channels and intracellular…
Neural circuits #neuralnetworks are indeed complex entities that are difficult to predict and comprehend, even for experienced and dedicated neuroscientists. This complexity arises from the intricate interplay of numerous components…
