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 Neuroscience
An 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 learningWhat Is Decidable About Low Dimensional Hybrid Systems?
Olga Tveretina's journal club session, where she will present herself and Andrei Sandler's work.
ASP: Learning to Forget With Adaptive Synaptic Plasticity in Spiking Neural Networks
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)"
Rank order decoding of temporal input patterns
Volker Steuber's journal club session, where he will briefly discuss different forms of neural coding.
Modelling nicotine addiction
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.
Learning in Cephalopod Brains
Damien Drix's journal club session, where he will present an overview of learning in Caphalopod brains, while referencing various papers.
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computational neuroscience Persistent homology Evolutionary algorithms Homoeostasis Convolutional Neural Networks PCA Dendritic computation neuroscience optimization machine learning Open position Computer Science computational modelling cerebellum Network connectivity synaptic plasticity Associative memory artificial intelligence Neurons robotics neural networks Studentship Deep learning Software development Purkinje cell olfaction Neuromorphic hardware Structural plasticity Neuronal Morphology COVID-19