neural-reckoning.org

Neural Reckoning Group

The Neural Reckoning Group is led by Dan Goodman. Specifically, we work in two main domains: neuroinformatics and sensory neuroscience. Is the application of computational methods in neuroscience, and we are particularly interested in the simulation of spiking neural networks and the analysis of experimentally recorded spiking data (see Software. In the domain of sensory neuroscience. Kadir SN, Goodman DFM, Harris KD (2014). High-dimensional cluster analysis with the masked EM algorithm.

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Neural Reckoning Group | neural-reckoning.org Reviews

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The Neural Reckoning Group is led by Dan Goodman. Specifically, we work in two main domains: neuroinformatics and sensory neuroscience. Is the application of computational methods in neuroscience, and we are particularly interested in the simulation of spiking neural networks and the analysis of experimentally recorded spiking data (see Software. In the domain of sensory neuroscience. Kadir SN, Goodman DFM, Harris KD (2014). High-dimensional cluster analysis with the masked EM algorithm.

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1 neural reckoning group

2 dan goodman

3 publications

4 software

5 openings

6 neuroinformatics

7 selected publications

8 neural computation

9 elife

10 frontiers in neuroinformatics

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neural reckoning group,dan goodman,publications,software,openings,neuroinformatics,selected publications,neural computation,elife,frontiers in neuroinformatics,frontiers in neuroscience,plos computational biology,the brian simulator

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Neural Reckoning Group | neural-reckoning.org Reviews

https://neural-reckoning.org

The Neural Reckoning Group is led by Dan Goodman. Specifically, we work in two main domains: neuroinformatics and sensory neuroscience. Is the application of computational methods in neuroscience, and we are particularly interested in the simulation of spiking neural networks and the analysis of experimentally recorded spiking data (see Software. In the domain of sensory neuroscience. Kadir SN, Goodman DFM, Harris KD (2014). High-dimensional cluster analysis with the masked EM algorithm.

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neural-reckoning.org

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The Brian simulator

http://www.neural-reckoning.org/pub_brian_focussed_review.html

Goodman DFM, Brette R. 2009) 3(2), doi:10.3389/neuro.01.026.2009.

2

Neuroinformatics

http://www.neural-reckoning.org/neuroinformatics.html

A Brunsviga hand cranked mechanical calculator as used by Hodgkin and Huxley to compute numerically the solutions to their differential equations for the action potential in the squid giant axon in 1952. A more recent 2007 IBM Blue Gene/P supercomputer used in the Blue Brain Project, with thousands of processors. (Image credit: Wikipedia. But making them accessible to neuroscience researchers. We currently work in two main areas of neuroinformatics with associated software packages. Playdoh: a lightweigh...

3

Brian Hears: online auditory processing using vectorisation over channels

http://www.neural-reckoning.org/pub_brian_hears.html

Brian Hears: online auditory processing using vectorisation over channels. Fontaine B, Goodman DFM (joint first authors), Benichoux V, Brette R. 2011) 5:9. doi: 10.3389/fninf.2011.00009.

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Sensory neuroscience

http://www.neural-reckoning.org/sensory.html

Model of how sound localisation could be performed in a complex listening environment using the behaviour of ensembles of spiking neurons. Sensory neuroscience is the study of how the brain processes sensory information, such as sight, sound, touch, etc. Some of the main aspects of our work are:. As we are interested in computation with precisely timed spikes, the auditory system is a natural one to study as the role of precise temporal information is so well established there. Goodman DFM, Benichoux V, ...

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Dan Goodman

http://www.neural-reckoning.org/dan_goodman.html

44 (0)20 7594 6264. I am a lecturer in the Intelligent Systems and Networks group. In the Department of Electrical and Electronic Engineering. At Imperial College London. The aim of my research is to uncover the principles underlying neural computation with precisely timed spikes. This is a form of computation specific to the brain, being radically different to both digital and analogue computation. I have developed several software tools.

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Dan Goodman | Neuroscience | thesamovar.net

http://thesamovar.net/neuroscience

Please see my new group webpage.

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Simulation of neural networks | Romain Brette

http://romainbrette.fr/simulation-of-neural-networks

Aller au contenu principal. Simulation of neural networks. What is computational neuroscience? Rate vs. timing. Simulation of neural networks. I developed a new simulator for spiking neural networks named Brian. And then Marcel Stimberg. Support in the Brian simulator (12). You can have a look at this recent presentation:. Brian: Neural simulation in the post-connectionist era. B rette, R. (2006). Exact simulation of integrate-and-fire models with synaptic conductances. Brette, R. et al (2007). Brette, R...

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Neural Reckoning Group

The Neural Reckoning Group is led by Dan Goodman. Specifically, we work in two main domains: neuroinformatics and sensory neuroscience. Is the application of computational methods in neuroscience, and we are particularly interested in the simulation of spiking neural networks and the analysis of experimentally recorded spiking data (see Software. In the domain of sensory neuroscience. Kadir SN, Goodman DFM, Harris KD (2014). High-dimensional cluster analysis with the masked EM algorithm.

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