Pathology analysis of human cortical neurons
In this project we study the properties of human cortical neurons derived from epilepsy and tumor patients. We link the single neuron electrophysiological properties to various brain pathologies and found neurons that are not affected. This allows to investigate the similarities between mouse and human neurons, providing the insight into the mechanisms of evolution of the neocortex. We do this work in collaboration with BICCN consortium directed by Ed Lein at Allen Institute.
Society for Neurosciences 2019
Human cortical and hippocampal epilepsy
In this work we aim to study the electrophysiological and morphological properties of single neurons derived from human epileptic tissue. We analyze the data that comes from patients with temporal lobe epilepsy. Specifically we look into pathological morphological and electrophysiological changes on single neuron level. To capture the single neuron properties we generate the detailed biophysical models of neurons and networks to test various scenario of seizure generation in silico. On the slides is present the response of the model cell to various current injections, experiment is in red, model is in blue. In this project we actively collaborate with Swedish medical center, working together with Costas Anastassiou and Jonathan Ting.
Society for Neurosciences 2018
K/Cl Homeostasis in Human Subiculum Epilepsy
We developed the model of seizure initiation in temporal lobe epilepsy. Specifically we  focused on the role of KCC2 contransporter which is responsible for mainaiting the baseline extracellular potassium and intracellular chloride levels in neurons. Recent experimental data has shown that this molecule is absent in the significant group of pyramidal cells in epileptic patients which suggest its epileptogenic role. In this project we looked into the consequences of this pathology from single neuron and neural network perspective. On the picture you could see the response of the network when there is 30% of KCC2-deficient pyramidal cells. We carried out this project in close collaboration with Richard Miles group at the Salpetriere Hospital in Paris.
 
Society for Neuroscience 2016
Inverse Stochastic Resonance in Purkinje Cells

 

We studied the role of synaptic noise in Purkinje cells. We investigated the effect of spike inhibition caused by noise current injection, so-called Inverse Stochastic Resonance (ISR). This effect has been previously found in single neuron models while we provide the first experimental evidence. On the slides you could see the model simulations that reproduce the experimentally observed ISR for particular variance of the noise input. As you could see on the picture different amplitudes of noise could significantly change the spiking behavior. We use methods of information theory and dynamical systems to study this phenomenon.  In this project we actively collaborate with Michael Hausser's Neural Computation Laboratory at the University Colledge London.
 
Society for Neuroscience 2015

© 2019 by Anatoly Buchin