Humans have the ability to solve highly complex tasks. How do we do it? ​Our group seeks to understand the principles underlying learning in the brain. To this end, we bring neural and machine learning together across multiple levels of analysis: from synapses to multi-area interactions via neural microcircuits. We collaborate with experimental and theoretical/machine learning groups in the UK and internationally.

​We are part of the Bristol Computational Neuroscience Unit, Dept. of Computer Science, SCEEM, Faculty of Engineering and interact closely with the Bristol neuroscience and machine learning communities.​

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News:

• Oct 2019: New perspective out in Nature Neuroscience on deep learning as a framework for neuroscience.
• Sept 2019: Samia had a (short) paper accepted at the RL NeurIPS workshop
• August 2019: Rui kayaked the Kenneth and Avon canal (~90 miles) for #AvonNeedsTrees
• August 2019: We are co-organising a NeurIPS workshop on biological and artificial RL
• August 2019: Milton had (short) paper accepted in CCN on gated-RNNs for working memory
• July 2019: David passed his PhD viva with minor corrections, congrats!​​
• June 2019: William Greedy awarded EPSRC studentship for a PhD in our group!​​​​
• June 2019: Anne-Lene is spending the summer at NYU working with Wei Ji Ma
• June 2019: Bristol CNU launched a new website!
• May 2019: Milton, Raymond and Callum had two posters accepted at the UK Neural Computation 2019 meeting​

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​Location

Bristol Computational Neuroscience Unit
Merchant Ventures Building
Woodland Road
Bristol, BS8 1UB
United Kingdom

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On Costa et al. Neuron 2017:

University of Bristol:

On the brain: