Connectionists: SNUFA 2023 program now online

[Friedemann Zenke]

Dear all,

The SNUFA 2023 workshop program is now online (https://snufa.net/2023/). 
Like every year, we look forward to two afternoons packed with "spiking 
networks as universal function approximators."

Date and time: Tue, 7 Nov 2023 15:00 - Wed, 8 Nov 2023 18:30 CET

Location: online

Details: https://snufa.net/2023/

Register (for free) for the online event:
https://www.eventbrite.co.uk/e/snufa-2023-tickets-675972952297


Program: November 7th (Times in CET)

14:00 Welcome by the organizers

Session 1 (Chair: Charlotte Frenkel)
14:10 Rodolphe Sepulchre, KU Leuven and University of Cambridge (invited)
14:55 Veronika Koren
-- Efficient computing of high-dimensional neural representations with 
biologically plausible E-I spiking networks
15:15 Alessio Quaresima, Hartmut Fitz, Renato Duarte, Peter Hagoort, 
Karl Magnus Petersson
-- Dendrites support formation and reactivation of sequential memories 
through Hebbian plasticity

15:35 Break (30mins)

Session 2 (Chair: Friedemann Zenke)
16:05 Gabriel Ocker, Boston University (invited)
16:50 Maayan Levy & Tim P. Vogels
-- Capacity of a spiking network with preserved weight distribution: a 
game-theory-inspired study
17:10 Flash talks by selected poster presenters

17:30 Break (30mins)
18:00 Poster session (Zoom)



November 8th (Times in CET)

14:00 Welcome to day two

Session 3 (Chair: Dan Goodman)
14:05 Melika Payvand, INI, Zurich (invited)
14:50 Ilyass Hammouamri
-- Learning Delays in Spiking Neural Networks using Dilated Convolutions 
with Learnable Spacings
15:10 Justus Huebotter, Pablo Lanillos, Serge Thill, Marcel van Gerven
-- Training Spiking Neural Networks for Continuous Control with 
Surrogate Gradients
15:30 Break (30mins)

Session 4 (Chair: Emre Neftci)
16:00 Jeff Krichmar, UC Irvine (invited)
16:45 Alexander Efremov, Martino Sorbaro, Pau Vilimelis Aceituno, 
Benjamin Grewe
-- Training fast spiking networks through STDP and control feedback
17:05 Antony W. N’dri, Céline Teulière and Jochen Triesch
-- Combining various types of spike timing-dependent plasticity to learn 
efficient neural codes

17:25 Closing remarks


Best wishes from your friendly organizers,
Emre Neftci, Charlotte Frenkel, Dan Goodman, and Friedemann Zenke