Yi will be discussing feature selection modelling for percutaneous absorption across Synthetic membranes
- Tagged as : machine learning
The 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).
Firing patterns in the adaptive exponential integrate-and-fire model
Julia will be presenting the paper 'Firing patterns in the adaptive exponential integrate-and-fire model' by Naud et al. (2008).
Human Speech Spectrum, Frequency Range, Formants
Anuradha's talk on the Human Speech Spectrum, Frequency Range and Formants.
Tagged as : Speech recognitionNetwork Connectivity
Neil Davey's journal club session on Network Connectivity.
How the Olfactory Bulb processes naturalistic time-varying inputs
Rebecca will be presenting the work she conducted for her masters thesis titled 'How the Olfactory Bulb processes naturalistic time-varying inputs'.
Measuring Effectiveness and Affectiveness in Software Systems
Marco Ortu who is visiting for the week, will be giving the presentation 'Measuring Effectiveness and Affectiveness in Software Systems'.
Compartmental modelling of neurons and the Hodgkin-Huxley formalism
Volker Steuber will give a basic introduction to compartmental modelling of neurons and discuss the Hodgkin-Huxley model, published in the paper A quantitative description of membrane current and its application to conduction and excitation in nerve (Hodgkin and Huxley, 1952)'.
Associative properties of structural plasticity based on firing rate homeostasis in a balanced recurrent network of spiking neurons
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Network connectivity Homoeostasis robotics synaptic plasticity artificial intelligence optimization Open position Associative memory Purkinje cell Studentship computational neuroscience Convolutional Neural Networks COVID-19 Evolutionary algorithms Persistent homology cerebellum Dendritic computation Neuronal Morphology Computer Science Neuromorphic hardware neuroscience machine learning PCA computational modelling Deep learning olfaction Neurons Software development Structural plasticity neural networks