Rebecca Miko's Journal Club session where she will talk about a paper she will soon submit: "Decoding the amplitude and slope of continuous signals into spikes with a spiking point neuron model".
Author: Rebecca Miko
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)"
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)"
Emil Dmitruk's journal club session, where he will present an overview of an EMG-CT method, while referencing various papers.Tagged as : Computational Neuroscience
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 learning
Edward Wakelam's journal club session, where he will present his work.Tagged as : machine learning
Olga Tveretina's journal club session, where she will present herself and Andrei Sandler's work.
Sam Sutton's journal club session, where he will present the paper "ASP, Learning to Forget With Adaptive Synaptic Plasticity in Spiking Neural Networks (Panda et al., 2018)"
Volker Steuber's journal club session, where he will briefly discuss different forms of neural coding.
Reinoud Maex's journal club session, where he will summerise the work he did in Paris, which was sponsored by Targacept: a pharmaceutical company which specialised in nicotinic compounds.
PCA synaptic plasticity Associative memory Purkinje cell computational neuroscience Neurons robotics computational modelling Dendritic computation Evolutionary algorithms Open position Neuronal Morphology Network connectivity Homoeostasis Neuromorphic hardware Computer Science Artificial intelligence Persistent homology olfaction cerebellum Structural plasticity machine learning neural networks Studentship Convolutional Neural Networks neuroscience Software development COVID-19 optimization Deep learning