Promoting coordinated development of community-based information standards for modeling in biology: the COMBINE initiative
The Computational Modeling in Biology Network (COMBINE) is a consortium of groups
involved in the development of open community standards and formats used in …
involved in the development of open community standards and formats used in …
Code generation in computational neuroscience: a review of tools and techniques
Advances in experimental techniques and computational power allowing researchers to
gather anatomical and electrophysiological data at unprecedented levels of detail have …
gather anatomical and electrophysiological data at unprecedented levels of detail have …
LEMS: a language for expressing complex biological models in concise and hierarchical form and its use in underpinning NeuroML 2
Computational models are increasingly important for studying complex neurophysiological
systems. As scientific tools, it is essential that such models can be reproduced and critically …
systems. As scientific tools, it is essential that such models can be reproduced and critically …
A computational model of the integration of landmarks and motion in the insect central complex
The insect central complex (CX) is an enigmatic structure whose computational function has
evaded inquiry, but has been implicated in a wide range of behaviours. Recent experimental …
evaded inquiry, but has been implicated in a wide range of behaviours. Recent experimental …
Abstract concept learning in a simple neural network inspired by the insect brain
AJ Cope, E Vasilaki, D Minors, C Sabo… - PLoS computational …, 2018 - journals.plos.org
The capacity to learn abstract concepts such as 'sameness' and 'difference'is considered a
higher-order cognitive function, typically thought to be dependent on top-down neocortical …
higher-order cognitive function, typically thought to be dependent on top-down neocortical …
Building a spiking neural network model of the basal ganglia on spinnaker
B Sen-Bhattacharya, S James… - … on Cognitive and …, 2018 - ieeexplore.ieee.org
We present a biologically inspired and scalable model of the basal ganglia (BG) simulated
on the spiking neural network architecture (SpiNNaker) machine, a biologically inspired low …
on the spiking neural network architecture (SpiNNaker) machine, a biologically inspired low …
High performance simulation of spiking neural network on gpgpus
Spiking neural network (SNN) is the most commonly used computational model for
neuroscience and neuromorphic computing communities. It provides more biological reality …
neuroscience and neuromorphic computing communities. It provides more biological reality …
A review of basic software for brain-inspired computing
Brain-inspired computing, which is inspired by the information processing procedure and the
biophysiological structure of the brain, is believed to have the potential to drive the next …
biophysiological structure of the brain, is believed to have the potential to drive the next …
A model for an angular velocity-tuned motion detector accounting for deviations in the corridor-centering response of the bee
AJ Cope, C Sabo, K Gurney, E Vasilaki… - PLoS computational …, 2016 - journals.plos.org
We present a novel neurally based model for estimating angular velocity (AV) in the bee
brain, capable of quantitatively reproducing experimental observations of visual odometry …
brain, capable of quantitatively reproducing experimental observations of visual odometry …
Parameter optimization using covariance matrix adaptation—evolutionary strategy (CMA-ES), an approach to investigate differences in channel properties between …
Z Jȩdrzejewski-Szmek, KP Abrahao… - Frontiers in …, 2018 - frontiersin.org
Computational models in neuroscience can be used to predict causal relationships between
biological mechanisms in neurons and networks, such as the effect of blocking an ion …
biological mechanisms in neurons and networks, such as the effect of blocking an ion …