Computational
computational neuroscientist
NMC4 Panel: NMC Around the Globe
For the first time, we are holding a NMC around the globe session, a panel of computational neuroscientists working in different continents who are willing to discuss their challenges and milestones in doing science and training researchers in their home country. We hope that our panelists can share their barriers, what they define as accomplishments and how they would like the future of computational neuroscience to evolve locally and internationally with our diverse NMC audience.
Norse: A library for gradient-based learning in Spiking Neural Networks
We introduce Norse: An open-source library for gradient-based training of spiking neural networks. In contrast to neuron simulators which mainly target computational neuroscientists, our library seamlessly integrates with the existing PyTorch ecosystem using abstractions familiar to the machine learning community. This has immediate benefits in that it provides a familiar interface, hardware accelerator support and, most importantly, the ability to use gradient-based optimization. While many parallel efforts in this direction exist, Norse emphasizes flexibility and usability in three ways. Users can conveniently specify feed-forward (convolutional) architectures, as well as arbitrarily connected recurrent networks. We strictly adhere to a functional and class-based API such that neuron primitives and, for example, plasticity rules composes. Finally, the functional core API ensures compatibility with the PyTorch JIT and ONNX infrastructure. We have made progress to support network execution on the SpiNNaker platform and plan to support other neuromorphic architectures in the future. While the library is useful in its present state, it also has limitations we will address in ongoing work. In particular, we aim to implement event-based gradient computation, using the EventProp algorithm, which will allow us to support sparse event-based data efficiently, as well as work towards support of more complex neuron models. With this library, we hope to contribute to a joint future of computational neuroscience and neuromorphic computing.
Computational psychophysics at the intersection of theory, data and models
Behavioural measurements are often overlooked by computational neuroscientists, who prefer to focus on electrophysiological recordings or neuroimaging data. This attitude is largely due to perceived lack of depth/richness in relation to behavioural datasets. I will show how contemporary psychophysics can deliver extremely rich and highly constraining datasets that naturally interface with computational modelling. More specifically, I will demonstrate how psychophysics can be used to guide/constrain/refine computational models, and how models can be exploited to design/motivate/interpret psychophysical experiments. Examples will span a wide range of topics (from feature detection to natural scene understanding) and methodologies (from cascade models to deep learning architectures).
Growing up in Science
Have you ever wondered what your advisor struggled with as a graduate student? What they struggle with now? Growing up in science is a conversation series featuring personal narratives of becoming and being a scientist, with a focus on the unspoken challenges of a life in science. Growing up in Science was started in 2014 at New York University and is now worldwide. This article describes the origin and impact of the series. At a typical Growing up in Science event, one faculty member shares their life story, with a focus on struggles, failures, doubts, detours, and weaknesses. Common topics include dealing with expectations, impostor syndrome, procrastination, luck, rejection, conflicts with advisors, and work-life balance, life outside academia but these topics are always embedded in the speaker’s broader narrative. Cortex Club is hosting its first Growing up in science event! Join us on Friday the 31st July at 4pm for hearing the unofficial story of Dr André Marques-Smith, computational neuroscientist at CoMind (read his official and unofficial story at https://cortexclub.com/event/growing-up-in-science-oxford/). Details to join the talk will be circulated via the mailing list (to join our mailing list, follow the instructions at https://cortexclub.com/join-us/).