Marco Craveiro's journal club session on "Handling Variability in Model Transformations and Generators" by Völter et al.
- Tagged as : Software development
Learning sparse codes and predictive context with compartmentalised inputs
Damien Drix's journal club session on learning sparse codes and predictive context with compartmentalised inputs.
Using SymPy in exploratory research
Andrei's journal club session on SymPy.
Tagged as : PythonOlfactory coding in the turbulent realm
Rebecca Miko's journal club session on 'Olfactory coding in the turbulent realm' by Jacob et al.
The role of inhibition in structural plasticity of neural circuits
Ankur Sinha's journal club session on the role of inhibition in structural plasticity of neural circuits.
Resources for Neuronal Modelling
Volker Steuber's journal club session on resources for neuronal modelling.
Open Position: PhD Studentship in Computational Frameworks for high-dimensional neural data
Applications are invited for a PhD studentship on Computational frameworks for high-dimensional neural data with Dr. Shabnam Kadir in the Biocomputation Research Group. The shortlisting process will begin on 8 January 2018. More details within.
Feature Selection Modelling for Percutaneous Absorption across Synthetic Membranes
Yi will be discussing feature selection modelling for percutaneous absorption across Synthetic membranes
Tagged as : machine learningThe Science of Variable Stars and Transient Sources
Philip will be presenting a talk on 'The Science of Variable Stars and Transient Sources'.
Firing patterns in the adaptive exponential integrate-and-fire model - Continued
Julia will be continuing on from last week and presenting the paper 'Firing patterns in the adaptive exponential integrate-and-fire model' by Naud et al. (2008).
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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