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SNUFA 2024 Brief summary. This online workshop brings together researchers in the fields of computational neuroscience, machine learning, and neuromorphic engineering to present their work and discuss ways of translating these findings into a better understanding of neural circuits. Topics include artificial and biologically plausible learning algorithms and the dissection of trained spiking circuits toward understanding neural processing. We have a manageable number of talks with ample time for discussions. Executive committee. Melika Payvand, Laurent Perrinet, Dan Goodman, and Friedemann Zenke. Key information Workshop. 5-6 November 2024, European afternoons (online). Abstract submission deadline. 27 September 2024. Submit an abstract Registration. Registration is free but required. Register via EventBrite Invited speakers. Chiara Bartolozzi (IIT Genova), David Kappel (University of Bochum), Anna Levina (Uni Tübingen), Christian Machens (Champalimaud)
SNUFA 2024 Brief summary. This online workshop brings together researchers in the fields of computational neuroscience, machine learning, and neuromorphic engineering to present their work and discuss ways of translating these findings into a better understanding of neural circuits. Topics include artificial and biologically plausible learning algorithms and the dissection of trained spiking circuits toward understanding neural processing. We have a manageable number of talks with ample time for discussions. Executive committee. Melika Payvand, Laurent Perrinet, Dan Goodman, and Friedemann Zenke. Key information Workshop. 5-6 November 2024, European afternoons (online). Abstract submission deadline. 27 September 2024. Submit an abstract Registration. Registration is free but required. Register via EventBrite Invited speakers. Chiara Bartolozzi (IIT Genova), David Kappel (University of Bochum), Anna Levina (Uni Tübingen), Christian Machens (Champalimaud)
SNUFA 2024 Brief summary. This online workshop brings together researchers in the fields of computational neuroscience, machine learning, and neuromorphic engineering to present their work and discuss ways of translating these findings into a better understanding of neural circuits. Topics include artificial and biologically plausible learning algorithms and the dissection of trained spiking circuits toward understanding neural processing. We have a manageable number of talks with ample time for discussions. Executive committee. Melika Payvand, Laurent Perrinet, Dan Goodman, and Friedemann Zenke. Key information Workshop. 5-6 November 2024, European afternoons (online). Abstract submission deadline. 27 September 2024. Submit an abstract Registration. Registration is free but required. Register via EventBrite Invited speakers. Chiara Bartolozzi (IIT Genova), David Kappel (University of Bochum), Anna Levina (Uni Tübingen), Christian Machens (Champalimaud)
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