Na Helian's Journal Club session where she will talk about her work done together with her PhD student Stiphen Chowdhury about "Feature Weighted Density-based Clustering".
A Spiking Neural Program for Sensorimotor Control during Foraging in Flying Insects
Shavika Rastogi's Journal Club session where she will talk about a paper "A Spiking Neural Program for Sensorimotor Control during Foraging in Flying Insects"
Toward a New Theory of Motor Synergies
Bente Riegler's Journal Club session where she will talk about a paper "Toward a New Theory of Motor Synergies"
Feed-Forward and Noise-Tolerant Detection of Feature Homogeneity in Spiking Networks with a Latency Code
Michael Schmuker's Journal Club session where he will talk about a paper "Feed-Forward and Noise-Tolerant Detection of Feature Homogeneity in Spiking Networks with a Latency Code"
Class-Balanced Loss Based on Effective Number of Samples
Minghua Zheng's Journal Club session where he will talk about a paper "Class-Balanced Loss Based on Effective Number of Samples"
Study of weak / strong multiplication in gain modulation
Aamir Khan's Journal Club session where he will talk about his work on "Study of weak / strong multiplication in gain modulation"
Feasibility of Topological Data Analysis for Event-Related fMRI
Shabnam Kadir's Journal Club session where she will talk about a paper "Feasibility of Topological Data Analysis for Event-Related fMRI"
Event-Driven Sensing for Efficient Perception: Vision and Audition Algorithms
Nik Dennler's Journal Club session where he will talk about a paper "Event-Driven Sensing for Efficient Perception: Vision and Audition Algorithms"
Fast Odour Dynamics Are Encoded in the Olfactory System and Guide Behaviour
Maria Psarrou's Journal Club session where she will talk about a paper "Fast Odour Dynamics Are Encoded in the Olfactory System and Guide Behaviour"
Learning Compositional Sequences with Multiple Time Scales through a Hierarchical Network of Spiking Neurons
Muhammad Yaqoob's Journal Club session where he will talk about a paper "Learning Compositional Sequences with Multiple Time Scales through a Hierarchical Network of Spiking Neurons"
Categories
Tags
neural networks Associative memory Studentship cerebellum Artificial intelligence olfaction Dendritic computation Purkinje cell Neuronal Morphology Evolutionary algorithms Neuromorphic hardware Persistent homology Open position COVID-19 Network connectivity robotics Deep learning Convolutional Neural Networks Neurons computational neuroscience neuroscience computational modelling Homoeostasis Software development machine learning PCA Computer Science optimization Structural plasticity synaptic plasticity