Reinoud Maex's journal club session where he will present the paper "Computer simulations of neuron-glia interactions mediated by ion flux (Somjen et al., 2008)".
Category: Seminars
Standards and Tools in Neuroscience: a report on the Open Source Brain Workshop 2019
Ankur Sinha's journal club session where he reports on the information presented and discussions held at the Open Source Brain Workshop in September, 2019.
Variational AutoEncoders for fragrant molecule data
Vinesh Bhunjun's journal club session, where he will present the effects of his cooperation with our laboratory.
Tagged as : Computational NeuroscienceMagnetic-inspired optimization algorithms: Operators and structures
Mohammad Tayarani-Najaran's journal club session, where he will present the paper "Magnetic-inspired optimization algorithms Operators and structures (M.-H. Tayarani-N., M.-R. Akbarzadeh-T, 2014)"
Introduction to Functional Data Analysis
Yi Sun's journal club session, where she will present the paper "Applied Functional Data Analysis Methods and Case Studies (Ramsay, J. O. and Silverman B.W, 2002)"
Revisiting a theory of cerebellar cortex
Ohki Katakura's journal club session, where he presented the paper "Revisiting a theory of cerebellar cortex (Yamazaki & Lennon 2019 in press)".
Tagged as : Computational NeuroscienceAn EMG-CT method using multiple surface electrodes in the forearm
Emil Dmitruk's journal club session, where he will present an overview of an EMG-CT method, while referencing various papers.
Tagged as : Computational NeuroscienceOPTICS: Ordering Points To Identify the Clustering Structure
Na Helian's journal club session, where she will present the paper "OPTICS Ordering Points To Identify the Clustering Structure (Mihael Ankerst et al, 1999)".
Tagged as : machine learningInvestigating the activity dependent dynamics of synaptic structures using biologically realistic modelling of peripheral lesion experiments
Ankur Sinha's journal club session where he presents results from his Ph.D. research on the activity dependent dynamics of synaptic structures.
The Potential for Student Performance Prediction in Small Cohorts with Minimal Available Attributes using Learning Analytics Techniques
Edward Wakelam's journal club session, where he will present his work.
Tagged as : machine learning
Categories
Tags
Computer Science COVID-19 computational neuroscience neural networks Neuronal Morphology cerebellum optimization Dendritic computation Purkinje cell machine learning Neurons PCA artificial intelligence Convolutional Neural Networks olfaction Studentship Associative memory Neuromorphic hardware Persistent homology Evolutionary algorithms Open position Network connectivity neuroscience Homoeostasis Software development Structural plasticity synaptic plasticity Deep learning robotics computational modelling