activity
20102023
most citedHigh-dimensional cluster analysis with the Masked EM Algorithm

14 citations · 21 across the 8 of their papers we have counts for

collaborators

8 papers

cs.NE2023★ 2 cited

Spiking Network Initialisation and Firing Rate Collapse

Nicolas Perez-Nieves, Dan F. M Goodman

In recent years, newly developed methods to train spiking neural networks (SNNs) have rendered them as a plausible alternative to Artificial Neural Networks (ANNs) in terms of accu…

q-bio.NC2021

Dynamics of specialization in neural modules under resource constraints

Gabriel Béna, Dan F. M. Goodman

It has long been believed that the brain is highly modular both in terms of structure and function, although recent evidence has led some to question the extent of both types of mo…

cs.NE2021★ 4 cited

Sparse Spiking Gradient Descent

Nicolas Perez-Nieves, Dan F. M. Goodman

There is an increasing interest in emulating Spiking Neural Networks (SNNs) on neuromorphic computing devices due to their low energy consumption. Recent advances have allowed trai…

cs.NE2020

Learning spatial hearing via innate mechanisms

Yang Chu, Wayne Luk, Dan Goodman

The acoustic cues used by humans and other animals to localise sounds are subtle, and change during and after development. This means that we need to constantly relearn or recalibr…

cs.CG2018

Further Towards Unambiguous Edge Bundling: Investigating Power-Confluent Drawings for Network Visualization

Jonathan X. Zheng, Samraat Pawar, Dan F. M. Goodman

Bach et al. [1] recently presented an algorithm for constructing confluent drawings, by leveraging power graph decomposition to generate an auxiliary routing graph. We identify two…

cs.CG2017★ 1 cited

Graph Drawing by Stochastic Gradient Descent

Jonathan X. Zheng, Samraat Pawar, Dan F. M. Goodman

A popular method of force-directed graph drawing is multidimensional scaling using graph-theoretic distances as input. We present an algorithm to minimize its energy function, know…

q-bio.QM2013★ 14 cited

High-dimensional cluster analysis with the Masked EM Algorithm

Shabnam N. Kadir, Dan F. M. Goodman, Kenneth D. Harris

Cluster analysis faces two problems in high dimensions: first, the `curse of dimensionality' that can lead to overfitting and poor generalization performance; and second, the sheer…

math.DS2010

Quasiregular mappings of polynomial type in R^2

Alastair Fletcher, Dan Goodman

Complex dynamics deals with the iteration of holomorphic functions. As is well- known, the first functions to be studied which gave non-trivial dynamics were quadratic polynomials,…