Author: fzenke

SuperSpike paper and code published

I am happy to announce that the SuperSpike paper and code are finally published. Here is an example of a network with one hidden layer which is learning to produce a Radcliffe Camera spike train from frozen Poisson input spike

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Talk at TU Berlin on Network and Plasticity Dynamics

I am delighted to get the chance to present my work on learning in spiking neural networks on Tuesday, 15th of May 2018 at 10:15am at TU Berlin. Title: What can we learn about synaptic plasticity from spiking neural network

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Bernstein Workshop on “Emergent function in non-random neural networks”

Mark the date for the Bernstein Satellite Workshop on “Networks which do stuff” which Guillaume Hennequin, Tim Vogels and myself are organizing this year at the Bernstein meeting in Berlin. Date and venue: September 25, 2018, 2:00 – 6:30 pm

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Neuroplasticity meeting “From Bench to Machine Learning” in July in Guildford, UK

Mark the date for the Neuroplasticity meeting “From Bench to Machine Learning” at the University of Surrey, UK (13 July 2018 – 14 July 2018). http://www.ias.surrey.ac.uk/workshops/Neuroplasticity/ This meeting has some really cool speakers which I am eager to meet. I

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Talk at University of Bristol on Friday 23rd of February 2018

I am looking forward to give a talk on the role of Rapid Compensatory Processes for learning and memory on Friday, 23rd of February 2018 at 1pm at the University of Bristol. Title: Making Cell Assemblies: What can we learn

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Talk in Oxford on Rapid Compensatory Processes

I am delighted to get the chance to present my work on learning in spiking neural networks next week (Tuesday, 17 October 2017, 1pm to 2pm) in Oxford at the “EP Cognitive and Behavioural Neuroscience Seminar”. Title: Making Cell Assemblies:

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ICML Talk on “Continual Learning Through Synaptic Intelligence”

I am looking forward to presenting our work on synaptic consolidation at ICML in Sydney this year. The talk will be held on Tue Aug 8th 11:06–11:24 AM @ Darling Harbour Theatre. Ben and I will also present a poster

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Supervised learning in multi-layer spiking neural networks

We just put a conference paper version of “SuperSpike”, our work on supervised learning in multi-layer spiking neural networks to the arXiv https://arxiv.org/abs/1705.11146. As always I am keen to get your feedback.

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The temporal paradox of Hebbian learning and homeostatic plasticity

I am happy that our article on “The temporal paradox of Hebbian learning and homeostatic plasticity” was just published in Current Opinion in Neurobiology (full text). This article essentially concisely presents the main arguments for the existence of rapid compensatory

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Role of complex synapses in continual learning

Excited that our preprint “Improved multitask learning through synaptic intelligence” just went life on the arXiv (https://arxiv.org/abs/1703.04200). This article, by Ben Poole, Surya and myself, illustrates the benefits of complex synaptic dynamics on continual learning in neural networks. Here a

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